School of Electronic Engineering and Computer Science

Dr John Schormans, BSc(Eng) PhD CEng MIET SFHEA

John

Senior Lecturer

Email: j.schormans@qmul.ac.uk
Telephone: +44 20 7882 5351
Room Number: Engineering, Eng E301
Website: http://www.elec.qmul.ac.uk/people/johns/
Office Hours: Wednesday 15:00-16:00, Friday 15:00-16:00

Teaching

Communications Systems (Postgraduate/Undergraduate)

This module provides a broad background to communications systems and the associated underlying theory. The module will provide an introduction to the generic communication system model, and how it is affected by noise. This will also include switching networks, PCM and SQNR, voice over packet. It will cover and introduction to information: the information measure, entropy and the binary symmetric channel model; coding: for compression and for error detection and correction.

Modelling and Performance (Postgraduate/Undergraduate)

Background material: probability, conditional probability, Markov models, Queue modelling of OS, e.g. multi-tasking, proof (and uses) of Little¿s law. Workload modelling: exponential versus Pareto; call centre analysis. Simulation-how to generate random numbers from arbitrary distributions, steady state versus terminating; output analysis; some simple simulation applications. Reliability theory: oriented towards electronic systems, though e.g. passive component failure, and then to microprocessor (embedded software) systems through s/w failures Network Science: introduction to the fundamental ideas in network science: graph theory, network metrics, network models, network robustness. Approach to modelling emergence and topological robustness of supply networks, communication networks and general human-technology interaction.

Signals and Information (Undergraduate)

This first year module introduces the fundamentals of signals, Fourier Series, information theory and signal statistics. Topics covered include: signal fundamentals such as discrete versus continuous time signals; signal average, energy and power; orthogonality; Fourier Series. The module also provides an introduction to information theory, including the information measure, entropy and the binary symmetric channel. Basic ideas in statistics will also be introduced. It will be taught by a combination of lectures, tutorials and labs.

Research

Research Interests:

My main focus is on analysis, simulation and measurement of packet?based networks, in wired and wireless scenarios. This includes evaluat ing QoE as well as more traditional network performance metrics.

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Current and recent PhD students

Current:

Adrian Woodrough - A network-centric vertical handover algorithm for Mobile Satellite Services

Tianhao Guo - User-Experience Informed Resource Allocation in Wireless Networks

Abdul Wahab - error propagation in measuring QoE from QoS metrics

Nafi Ahmad

Completed

Mujtaba Roshan - Experimenting with network measurements and evaluating user QoE

Amna Wahid - Measurement of Overflow Probability in a Packet Buffer

Xingyu Han - Channel Adaptive Analy sis in Wireless Networks with Application to Routing

Zhong Bo - Heterogeneous Traffic Cross-Layer QoS Provision with Dynamic Spectrum A llocation in OFDM-Based Cognitive Radio Networks

Amna Wahid - Optimising the sampling rate when measuring packet-level performance in p acket networks

Adrian Woodrough (part time, while working for Inmarsat, London, UK) - Analysis of hand-over strategies in satellite net works

Ling Xu - Planning Simulation Run Length in Packet Queues

Vindya Amaradasa - Traffic aggregation techniques for non-FIFO schedulers, 2009

Syeda Samana Naqvi - packet level measurements over wireless MPhil, 2008

Maheen HASIB: Analysis of packet loss probing in packet networks . June 2006

Shaowen LU: A systematic multi-level abstraction approach to error constrained time-stepped accelerated simulation for MANETs . 2006

Sharifah ARIFFIN: Accelerated simulation of a packet buffer with a non-FIFO scheduler . March 2006

Ali RAZA: Layered Space Time Architectures For Mimo Wireless Channels . 2006

Chi Ming LEUNG: Non-Intrusive Measurement in Packet Networks and its Applications . February 2004

Ho I (Athen) MA: Accelerated Simulation of Power-Law Traffic in Packet Networks . September 2003

Robert STEWART, End-toEnd Delay Analysis for Small/Medium Scale IP Networks November 2002

Arif AL-HAMMADI Intel ligent Techniques for VBR Traffic Control in ATM Networks March 2000

Tijana TIMOTIJEVIC  System Level Performance of ATM Transmission over a DS-CDMA Satellite Link April 1999

Sufian YOUSEF, APU, 1995

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GR/K83489/01

ATM NETWORKS: MANAGING THE RESOURCES AND CONTROLLING THE TRAFFIC

(P)

< p style="box-sizing: border-box; margin-top: 0px; margin-bottom: 10px;">My current Research Grants
QM Ref Category Title Main Funder Value (£) Start End PI
ECSA1S8R EPSRC Innovation Fund: Random video traffic patterns EPSRC (IAA) 9472.00 01/03/2015 31/07/2015 Y
ECSA1S9R EPSRC Innovation Fund: Network performance metrics EPSRC (IAA) 9658.00 01/04/2015 30/06/2015 Y
ECSW1A7R Other CASE Award: Mujtaba Rosha 15000.00 01/09/2014 31/08/2017 Y

My previous UK government EPSRC research support:

< td style="box-sizing: border-box; padding: 0px; border: 1px dashed rgb(187, 187, 187); min-width: 10px;" width="5%">(P)

EP/G012628/1

Optimal design of performance measurement experiments for complex, large-scale networks (o utcomes described below)

(P)

EP/F033133/1

Building a New Community: Modelling, Visualisation and Verification of Large Scale Systems

GR/S93714/03

IPv4 and IPv6 Performance and QoS - 46PaQ

(C)

GR/S93714/02

IPv4 and IPv6 Performance and QoS - 46 PaQ

(C)

GR/T18615/01

Whole System Modelling Of Large-Scale Communication Networks For What-If Evaluation

(C)

GR/J42106/01

ATM NETWORKS: MANAGING THE RESOURCES AND CO NTROLLING THE TRAFFIC.

(P)

Focusing on EP/G012628/1< span style="box-sizing: border-box; font-weight: 700;"> Optimal design of performance measurement experiments for complex, large-scale networks, Key Findings:

Broadband packet communications networks, exemplified by the internet, are supporting virtually all information exchange internationally. Packet-lev el performance (packet loss and delay) is the dominant factor controlling user experience of these networks, and as user experience is ultimately the key factor driving commercial success, the key network performance measures must be accurately monitored.

A challenging unsolved problem in packet networking has lo ng been: how do we monitor packet level performance in an optimal fashion? This is equivalent to asking how we can ensure that the samples of loss and delay taken from a network c ontain the maximum amount of information (or that they have minimum variance and bias).

In this project we addressed this question. By modelling networks using Markov state models we have been able to treat network measurement and monitoring as numerical experiments. This crucial step then allowed us to optimise these measurement experiments using the Statistical Theory of the Design Of Experiments (DOE).

The major results of this project includ e a utility based framework for optimisation of packet network measurement, and a new approach to optimal sampling based on the maximisation of Fisher Information. This latter bre akthrough led directly to the development of framework for a new science of DOE that allows the ?items? in any experiment to be inter-connected. This is new, and has the potential to revolutionise the use of DOE across a wide range of domains, including agriculture, drug development, viral-marketing techniques, and social policy research as well as in comm unications networking.

Potential use in non-academic contexts

Potential use in non-academic contexts: Network and Service Providers have an urgent need to accurately monitor the performance of their networks, essentially to ensure that they are meeting the guarantees th at are written into their Service Level Agreements (SLAs). Our research can be used directly to set-up pre-existing network monitoring equipment to ensure that best possible use i s made of the monitoring equipment.

 KEY RECENT PAPERS:

Holistic assessment of call centre performance

Manual Smith EA, Schormans JA

QoS-Aware Energy-Efficient Cooperative Scheme for Cluster-Based IoT Systems

Scopus Song L, Chai KK, Chen Y, Schormans J, Loo J, Vinel A

Optimal design of experiments on connected units with application to social networks

Web of Science (Lite) Parker BM, Gilmour SG, Schormans J

Self-organising cluster-based cooperative load balancing in OFDMA cellular networks

Scopus Xu L, Chen Y, Chai KK, Schormans J, Cuthbert L

Optimal design of measurements on queueing systems

Parker BM, Gilmour S, Schormans J, Maruri-Aguilar H

QUEUEING SYSTEMS 79(3-4):365-390 Apr 2015

Increasing throughput in IEEE 802.11 by optimal selection of backoff parameters

Gilmour SG, Schormans JA, Parker BM

IET Networks 4(1):21-29 01 Jan 2015 DOI for this publication

Utility based framework for optimal network measurement

Schormans J, Parker BM, Gilmour SG

IET Networks 4(1):10-20 01 Jan 20 15 DOI for this publication

Evaluating QoE in Cognitive Radio Networks for Improved Network and User Performance

Zhong B, Schormans J, Bodanese E

< p style="box-sizing: border-box; margin-top: 0px; margin-bottom: 10px; color: rgb(51, 51, 51); font-family: "Helvetica Neue", Helvetica, Arial, sans-serif; font-size: 14 px;">IEEE COMMUNICATIONS LETTERS 17(12):2376-2379 Dec 2013 Author URL DOI for this publication

Performance comparisons between cellular-only and cellular/WLAN integrated systems based on analytical models

Song G, Yang L, Wu J, Schormans J

Frontiers of Computer Science 7(4):486-495 01 Aug 2013 DOI for this publication

Self-organising cluster-based cooperative load balancing in OFDMA cellular networks

Xu L, Chen Y, Chai KK, Schormans J, Cuthbert L

Wireless Co mmunications and Mobile Computing 2013 DOI for this publication

A Performance Study of Hierarchical Heterogeneous Wireless Integrated Networks

Song G, Wu J, Schormans J, Yang L, Cuthbert L

APPLIED MATHEMATICS & INFORMATION SCIENCES 6(2):497S-504S Apr 2012 Author URL

Erlang's fixed-point approxim ation for performance analysis of HetNets

Song G, Wu J, Schormans J, Cuthbert L

Journal of Applied Mathematics 2012 20 Jun 2012 DOI for this publication

Design of Experiments for Categorical Repeated Measurements in Packet Communication Networks

Parker BM, Gilmour SG, Schormans JA

TECHNOMETRICS 53(4): 339-352 Nov 2011 Author URL DOI for this publication

Publications

  • Dai Y, Wijeratne V, Chen Y et al. (2018). User experience aware active queue management in cellular networks. nameOfConference


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  • Song L, Chai KK, Chen Y et al. (2018). Cooperative Coalition Selection for Quality of Service Optimization in Cluster-Based Capillary Networks. nameOfConference


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  • Guo T, Huang G, Schormans J et al. (2017). CAP: A ContAct based Proximity service via opportunistic device-to-device relay. nameOfConference


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    Citations: 1
  • SCHORMANS JA (2017). Channel Quality Aware Active Queue Management. Computer Science and Electronic Engineering (CEEC), 2017



    Citations: 0
  • Smith EA, Schormans JA (2017). Holistic assessment of call centre performance. nameOfConference



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  • Song L, Chai KK, Chen Y et al. (2017). QoS-Aware Energy-Efficient Cooperative Scheme for Cluster-Based IoT Systems. nameOfConference


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  • Wang Y, Chai KK, Chen Y et al. (2017). Energy-aware Restricted Access Window control with retransmission scheme for IEEE 802.11ah (Wi-Fi HaLow) based networks. nameOfConference


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    Citations: 7
  • Parker BM, Gilmour SG, Schormans J (2017). Optimal design of experiments on connected units with application to social networks. nameOfConference



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  • Zhao J, Chai KK, Chen Y et al. (2017). Joint mode selection and resource allocation for machine-type D2D links. nameOfConference


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    Citations: 5
  • Song L, Chai KK, Chen Y et al. (2016). Energy efficiency cooperative scheme for cluster-based capillary networks in Internet of Things systems. nameOfConference


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  • Han X, Schormans J (2016). Cross-layer queueing analysis for aggregated ON-OFF arrivals with adaptive modulation and coding. nameOfConference



    Citations: 1
  • Song L, Chai KK, Chen Y et al. (2016). QPSO-based energy-Aware clustering scheme in the capillary networks for Internet of Things systems. nameOfConference


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    Citations: 1
  • Zhao J, Chai KK, Chen Y et al. (2016). Two-level game for relay-based throughput enhancement via D2D communications in LTE networks. nameOfConference


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    Citations: 13
  • Wang Y, Li Y, Chai KK et al. (2016). Energy-Aware adaptive restricted access window for IEEE 802.11ah based smart grid networks. nameOfConference


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    Citations: 15
  • Wang Y, Chai KK, Chen Y et al. (2016). Energy-delay aware restricted access window with novel retransmission for IEEE 802.11ah networks. nameOfConference


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    Citations: 1
  • Wang Y, Li Y, Chai KK et al. (2015). Energy-aware adaptive restricted access window for IEEE 802.11ah based networks. nameOfConference


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    Citations: 4
  • Wahid AA, Schormans JA (2015). Bounds on accuracy when estimating the loss probability in a packet buffer. nameOfConference


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    Citations: 1
  • SCHORMANS JA (2015). QoS-aware Energy Efficient Cooperative Scheme for Cluster-based IoT Systems. nameOfConference



    Citations: 0
  • Parker BM, Gilmour S, Schormans J et al. (2015). Optimal design of measurements on queueing systems. nameOfConference



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  • Xu L, Luan Y, Chao K et al. (2015). Channel-aware optimised traffic shifting in LTE-Advanced relay networks. nameOfConference


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  • Song L, Chai KK, Chen Y et al. (2015). Energy efficient cooperative MISO scheme for cluster-based M2M capillary networks. nameOfConference


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  • Wang Y, Li Y, Chai KK et al. (2015). Fnergy-aware Adaptive Restricted Access Window for IEEE 802.11ah Based Networks. nameOfConference

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    Citations: 1
  • Parker BM, Gilmour SG, Schormans JA (2015). Increasing throughput in IEEE 802.11 by optimal selection of backoff parameters. nameOfConference


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    Citations: 0
  • Zhao J, Chai KK, Chen Y et al. (2015). Joint mode selection and radio resource allocation for D2D communications based on dynamic coalition formation game. nameOfConference

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    Citations: 3
  • Xu L, Chen Y, Chai KK et al. (2015). Self-organising cluster-based cooperative load balancing in OFDMA cellular networks. nameOfConference


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    Citations: 28
  • Parker BM, Schormans J, Gilmour SG (2015). Utility based framework for optimal network measurement. nameOfConference


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    Citations: 0
  • Xu L, Luan Y, Chao K et al. (2014). Channel-aware optimised traffic shifting in LTE-Advanced relay networks. nameOfConference


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    Citations: 10
  • Wahid AA, Schormans J (2013). Bounding the maximum sampling rate when measuring PLP in a packet buffer. nameOfConference


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    Citations: 1
  • Zhong B, Schormans J, Bodanese E (2013). Evaluating QoE in Cognitive Radio Networks for Improved Network and User Performance. nameOfConference


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    Citations: 4
  • Song G, Yang L, Wu J et al. (2013). Performance comparisons between cellular-only and cellular/WLAN integrated systems based on analytical models. nameOfConference


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    Citations: 0
  • Xu L, Chen Y, Chai KK et al. (2013). Self-organising cluster-based cooperative load balancing in OFDMA cellular networks. nameOfConference


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    Citations: 0
  • Xu L, Chen Y, Chai KK et al. (2013). User Relay assisted Traffic Shifting in LTE-Advanced Systems. 77th IEEE Vehicular Technology Conference (VTC2013-Spring)


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  • Song G, Wu J, Schormans J et al. (2012). Erlang's fixed-point approximation for performance analysis of HetNets. nameOfConference


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    Citations: 1
  • Song G, Wu J, Schormans J et al. (2012). A Performance Study of Hierarchical Heterogeneous Wireless Integrated Networks. nameOfConference

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    Citations: 3
  • Song G, Wu J, Schormans J et al. (2012). A performance study of hierarchical heterogeneous wireless integrated networks. nameOfConference

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    Citations: 6
  • Lexi Xu, Yue Chen, Kok Keong Chai et al. (2012). Cooperative load balancing for OFDMA cellular networks. European Wireless, 2012. EW. 18th European Wireless Conference

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  • Parker BM, Gilmour SG, Schormans JA (2011). Design of Experiments for Categorical Repeated Measurements in Packet Communication Networks. nameOfConference


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    Citations: 2
  • SCHORMANS JA, Parker BM, Gilmour SG (2011). Design of Experiments for Categorical Repeated Measurements in Packet Communication Networks. nameOfConference


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  • Wijeratne V, Schormans J (2011). PACKET-DELAY INVARIANCE TO SCHEDULING UNDER CONGESTION. nameOfConference

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  • Xu L, Chen Y, Schormans J et al. (2011). User-Vote Assisted Self-Organizing Load Balancing for OFDMA Cellular Systems. nameOfConference


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    Citations: 9
  • Kausar R, Chen Y, Chai KK et al. (2010). QoS aware mixed traffic packet scheduling in OFDMA-based LTE-advanced networks. nameOfConference

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    Citations: 6
  • Mondragon R, Moore A, Pitts J et al. (2009). Analysis, simulation and measurement in large-scale packet networks. nameOfConference


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    Citations: 2
  • Ariffin SHS, Schormans JA, Ma AHI (2009). Application of the generalised ballot theorem for evaluation of performance in packet buffers with non-first in first out scheduling. nameOfConference


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  • Parker BM, Gilmour SG, Schormans J (2009). Measurement of packet loss probability by optimal design of packet probing experiments. nameOfConference


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  • Schormans J (2009). Simulation, Analysis and Measurement of Broadband Network Traffic. nameOfConference


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  • Amaradasa V, Schormans J, Pitts J et al. (2009). Evaluating overflow probability for voice over internet protocol buffer dimensioning. nameOfConference


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  • SCHORMANS JA, Song, Cuthbert LG (2009). Queueing Network Topology for Modelling Cellular/Wireless LAN Interworking Systems. nameOfConference

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  • Lu S, Schormans JA (2008). Time-stepped approach for accelerated simulation of mobile ad hoc networks. nameOfConference


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    Citations: 2
  • Pitts JM, Schormans JA (2008). AN ANALYTICAL STUDY OF PRECEDENCE AND QOE FOR VOICE SERVICE IN DEGRADED IP NETWORKS. nameOfConference


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  • Song GZ, Cuthbert L, Schormans J (2008). Modelling Cellular/Wireless LAN Integrated Systems with Multi-Rate Traffic Using Queueing Network. nameOfConference


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  • Song GZ, Cuthbert L, Schormans J (2008). Open Networks of Loss Systems in the Modelling of Tow-Tier Heterogeneous Hierarchical Overlay Wireless Networks. nameOfConference


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  • PITTS JM, Schormans JA, Yang Q (2007). Whole System Modelling and What-If QoS Evaluation of Enterprise VoIP Networks. Networking and Electronic Commerce Research Conference 2007 (NAEC 2007), Italy, October 2007

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  • Hasib M, Schormans J, Timotijevic T (2007). Accuracy of packet loss monitoring over networked CPE. nameOfConference


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    Citations: 6
  • Stewart R, Xiaoguang L, Schormans JA et al. (2007). A cross layer analysis for voice over WiFi communications in multihop wireless networks. nameOfConference


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  • Pitts JM, Yang Q, Schormans JA (2007). Using AF-PHB BOUDICCA configuration for reliable real-time precedence-based SLAs in degraded IP networks. nameOfConference


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  • Pitts JM, Wang X, Yang Q et al. (2006). Excess-rate queuing theory for M/M/1/RED with application to VolP QoS. nameOfConference


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    Citations: 5
  • SCHORMANS JA, Amaradasa V (2006). Accelerated Simulation of a GPS Scheduler Using Traffic Aggregation. HETNETs '06 - 4th International Working Conference, Performance Modelling and Evaluation of Heterogeneous Networks, Ilkley, West Yorkshire, UK - September 2006

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  • SCHORMANS JA, Chen X, Raza A (2006). Advanced Receiver Algorithms for Multi-Layered Space-Time Block Codes. Ultra Wideband Systems, Technologies and Applications, 2006. The Institution of Engineering and Technology Seminar on April 2006


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  • Pitts JM, Schormans JA (2006). Configuring IP QoS mechanisms for graceful degradation of real-time services. nameOfConference


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  • SCHORMANS JA, Lu S (2006). SSIM: A Multi-Resolution Fluid Traffic Simulator for MANETs. The Third International Conference on Mobile Computing and Ubitquitous Networking (ICMU2006)

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  • PITTS JM, Schormans JA (2005). Configuring Packet Transport of Emerging Real-Time Services for Graceful Degraduation Under Congestion. IEEE Bandwidth Management Workshop XI, October 2005

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  • Hasib M, Schormans J, Pitts J (2005). Erratum: Probing limitations for packet loss probability measurement on buffered access links (Electronics Letters (2004) 40:20 (1315-1316)). nameOfConference

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  • Hasib M, Schormans J, Pitts J (2005). Probing limitations for packet loss probability measurement on buffered access links (vol 40, pg 1315, 2004). nameOfConference


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  • Ma AHI, Schormans JA (2005). Fast, stable simulation of power-law packet traffic using concatenated acceleration techniques. nameOfConference


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    Citations: 3
  • Schormans J (2005). Ubiquitous packet networking and data compression. nameOfConference


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  • Leung CM, Schormans JA (2005). Measurement-based end to end latency performance prediction for SLA verification. nameOfConference


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    Citations: 2
  • SCHORMANS JA, Amaradasa V (2005). Future Simulation Acceleration of Packet Networks Using GPS Scheduling. PGNET '05 - 6th Annual PostGraduate Symposium on the Convergence of Telecommunications, Networking & Broadcasting, Liverpool, UK - 2005

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  • Hasib M, Schormans J, Pitts J (2004). Probing limitations for packet loss probability measurement on buffered access links. nameOfConference


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  • Schormans JA, CHEN X, Raza A (2004). Layered Sapce-Time Block Codes with Interactive Decoding. London Communications Symposium 2004, London, UK - 13-14 September 2004

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  • Raza A, Schormans JA, Chen X (2004). KIL-BLAST: diversity and multiplexing trade-off for layered space-time architectures with channel estimation error. nameOfConference


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  • SCHORMANS JA, Ariffen SHS (2004). A Buffer with Two Priority Inputs. 2004 IEEE International Conference on Communications (ICC, Paris, June 2004)

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  • Pitts JM, SCHORMANS JA (2004). So You Think You Can Measure IP QoS?. 2nd IEE Conference on QoS in IP Networks, Savoy Place, 2-3 March 2004

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  • PITTS JM, Schormans JA (2004). So you think you can measure IP QoS. IEE Telecommunications QoS Conference, March 2004

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  • Timotijevic T, Leung CM, Schormans J (2004). Accuracy of measurement techniques supporting QoS in packet-based intranet and extranet VPNs. nameOfConference


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    Citations: 6
  • Schormans J (2004). Superhighways technology and broadband VPN. nameOfConference


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  • Ariffin SHS, Schormans JA (2004). Efficient accelerated simulation technique for packet switched networks: A buffer with two priority inputs.. nameOfConference


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  • SCHORMANS JA, LEUNG CM (2004). Measurement for Guaranteeing QoS in Braodband Multiservice Networks. nameOfConference

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  • SCHORMANS JA, Leung CM (2004). Measurement for guaranteeing QoS in broadband multiservice networks. nameOfConference

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  • Schormans J, Liu E, Stewart R et al. (2003). Analytical technique for accelerating the simulation of packet networks. nameOfConference


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    Citations: 2
  • SCHORMANS JA, Timotijevic T (2003). Bandwidth Overhead of Measurement Technology Used for Guaranteeing QoS in Packet Networks. International Network Optimization Conference (INOC), Paris, France, October 2003

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  • Ma A, Schormans J, Cuthbert L (2003). Aggregation technique for networks with power law traffic and application to accelerated simulation. nameOfConference


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    Citations: 5
  • Timotijevic T, Schormans J (2003). Bandwidth overhead of probe technology guaranteeing QoS in packet networks. nameOfConference


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    Citations: 4
  • Leung CM, Schormans JA, Pitts JM et al. (2003). Accurate decay rate prediction for burst-scale queueing in packet buffers. nameOfConference


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  • SCHORMANS JA, Ariffin SHS (2003). Accelerated Simulation Method for Power-Law Traffic and Non-FIFO Scheduling. London Communications Symposium, University College, London, 2003

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  • Schormans JA, Timotijevic T (2003). Evaluating the accuracy of active measurement of delay and loss in packet networks. nameOfConference

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  • SCHORMANS JA, Hasib M (2003). Limitations of Passive and Active Measurement in Packet Networks. London Communications Symposium, University College London, 2003

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  • Lu S, SCHORMANS JA (2003). Simulation Acceleration Techniques for Mobile Ad Hoc Networks. London Communications Symposium, University College London, 2003

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  • Leung CM, Schormans JA, Ma AHI (2002). Measurement-based queue length distribution estimation for power-law traffic. nameOfConference


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    Citations: 2
  • SCHORMANS JA, Al-Hammadi AS (2002). A Neural Network Techniques in ATM Congestion Control. MESM'02, 28-30 September 2002, American University Sharjah, Sharjah, UAE

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    Citations: 0
  • Leung CM, Schormans JA (2002). Measurement-based traffic characteristic estimation for QoS-oriented IP networks. nameOfConference

    DOI: doi

    QMRO: qmroHref

    Citations: 2
  • Schormans JA, CHEN X, Raza A (2002). Space-time Block Coded OFDM without Guarded Intervals. 9th IEEE International Conference on Telecommunications, Beijing, China - 23-26 June 2002

    DOI: doi

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    Citations: 0
  • SCHORMANS JA, Ma HI (2002). Accelerated Simulation Modelling of Power-law Traffic via Aggregation. ITC2002, Beijing. China

    DOI: doi

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    Citations: 0
  • SCHORMANS JA, Ma HI (2002). Efficient Simulation Modelling for Long Range Dependent Traffic. Presented at the Fourth Workshop on Rare Simulation and related Combinatorial Optimization Problems (RESIM/COP'02), April 11-12, 2002, Madrid, Spain

    DOI: doi

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    Citations: 0
  • Ma AHI, Schormans JA (2002). Hybrid technique for analysis of multiplexed power-law traffic in broadband networks. nameOfConference


    QMRO: qmroHref

    Citations: 2
  • Miah B, Scharf EM, Cuthbert LG et al. (2002). A new charging scheme for ATM based on QoS. nameOfConference


    QMRO: qmroHref

    Citations: 0
  • SCHORMANS JA, Al-Hammadi AS (2002). A Neuro-Fuzzy Congestion Controller in a Prioritised ATM Switch. First International ICSC Conference on Neuro-Fuzzy Technologies, January 16-19, 2002 at University of Havana, Cuba

    DOI: doi

    QMRO: qmroHref

    Citations: 0
  • SCHORMANS JA, Leung CM (2002). "Measurement-Based Traffic Characteristic Estimation for QoS Oriented IP Networks.". nameOfConference

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    QMRO: qmroHref

    Citations: 0
  • Pitts JM, Schormans JA, Woolf M et al. (2002). End to end performance in real time IP networks with self-similar behaviour. nameOfConference

    DOI: doi

    QMRO: qmroHref

    Citations: 0
  • Pitts JM, ARROWSMITH DK, Schormans JA et al. (2002). End-to-end performance in real time IP networks with self-similar behavior.. nameOfConference


    QMRO: qmroHref

    Citations: 0
  • Leung CM, Schormans JA (2002). Measurement-based end to end latency performance prediction for SLA verification. nameOfConference


    QMRO: qmroHref

    Citations: 0
  • SCHORMANS JA, Leung CM (2002). Non-intrusive Measurement for QoS Inference. PGNET2002

    DOI: doi

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    Citations: 0
  • SCHORMANS JA, Ariffin S (2002). ON/OFF Pareto Distributed Source at Burst Level: A Study of Fast Simulation Methods for Packet Network. PGNET2002

    DOI: doi

    QMRO: qmroHref

    Citations: 0
  • SCHORMANS J, Pitts JM (2002). Overflow Probability in Shared Cell Switched Buffers. nameOfConference


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    Citations: 0
  • CUTHBERT LG, Schormans JA, Phillips CI et al. (2001). Applications of Neural Networks to Accelerated Simulation of Internet Type WANs. 17th International Telecommunications Congress, Brazil

    DOI: doi

    QMRO: qmroHref

    Citations: 0
  • Schormans JA, Pitts JM (2001). From Erlangs to excess rate. nameOfConference

    DOI: doi

    QMRO: qmroHref

    Citations: 3
  • SCHORMANS JA, Stewart RA (2001). Accurate Dimensioning of Service Level Agreements in Voice over IP Networks.. nameOfConference

    DOI: doi

    QMRO: qmroHref

    Citations: 0
  • Pitts JM, Schormans JA, Scharf EM et al. (2001). Tight bounds for the tail of the packet waiting time distribution in buffered networks. nameOfConference


    QMRO: qmroHref

    Citations: 2
  • Stewart R, Schormans J (2001). Accurate dimensioning of service level agreements in voice-over-IP networks. nameOfConference

    DOI: doi

    QMRO: qmroHref

    Citations: 0
  • Cuthbert LG, Pitts JM, SCHORMANS JA et al. (2001). A Hybrid Technique for Accelerated Simulation of ATM Networks and Network Elements. nameOfConference


    QMRO: qmroHref

    Citations: 0
  • Al-Hammadi A, Schormans J (2001). Fuzzy congestion controller in a prioritised ATM switch. nameOfConference


    QMRO: qmroHref

    Citations: 2
  • Pitts JM, Schormans JA, Phillips CI et al. (2001). Accurate delay bounds for real-time IP services in presence of variable packet size. nameOfConference


    QMRO: qmroHref

    Citations: 2
  • SCHORMANS JA, Ma H (2001). A Fast Simulation Method for Modelling IP Networks. IEE 17th UK Teletraffic Symposium, Dublin 2001

    DOI: doi

    QMRO: qmroHref

    Citations: 0
  • SCHORMANS JA, Stewart R (2001). Prediction Bounds for End-to-End Delay Analysis in Enterprise IP Networks. IEE 17th UK Teletraffic Symposium, Dublin, 2001

    DOI: doi

    QMRO: qmroHref

    Citations: 0
  • SCHORMANS JA, Stewart R, Pitts JM et al. (2000). Analysis of local internet / enterprise networking multiplexer for on-off VoIP sources. nameOfConference


    QMRO: qmroHref

    Citations: 0
  • SCHORMANS JA, Timotijevic T (2000). ATM Level Performance Analysis on a DS-CDMA Satellite Link using DTX. nameOfConference

    DOI: doi

    QMRO: qmroHref

    Citations: 0
  • Liu EJ, Schormans J, Cuthbert L et al. (2000). A novel fast simulation method for ATM networks. nameOfConference


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    Citations: 0
  • SCHORMANS JA (2000). Access flow control scheme for ATM networks using adaptive linear prediction. nameOfConference

    DOI: doi

    QMRO: qmroHref

    Citations: 0
  • SCHORMANS JA, Pitts JM, Scharf E et al. (2000). Buffer Overflow Probability for Multiplexed On-Off VoIP Sources. nameOfConference


    QMRO: qmroHref

    Citations: 0
  • SCHORMANS JA, Pitts JM, Ma A et al. (2000). Design rules and equivalent capacity for a Pareto source. nameOfConference

    DOI: doi

    QMRO: qmroHref

    Citations: 0
  • SCHORMANS J, Pitts JM, Mondragon R et al. (2000). Design rules for buffering overlapping Pareto processes in packetised networks. nameOfConference


    QMRO: qmroHref

    Citations: 0
  • SCHORMANS JA, Awadalla H, Cuthbert LG (2000). Resource allocation strategy for ATM-based satellite systems. nameOfConference

    DOI: doi

    QMRO: qmroHref

    Citations: 0