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.
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.
Current and recent PhD students
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
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
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
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
< tr style="box-sizing: border-box;">
ATM NETWORKS: MANAGING THE RESOURCES AND CONTROLLING THE TRAFFIC
|< p style="box-sizing: border-box; margin-top: 0px; margin-bottom: 10px;">My current Research Grants
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)
IPv4 and IPv6 Performance and QoS - 46PaQ
IPv4 and IPv6 Performance and QoS - 46 PaQ
Whole System Modelling Of Large-Scale Communication Networks For What-If Evaluation
ATM NETWORKS: MANAGING THE RESOURCES AND CO NTROLLING THE TRAFFIC.
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:
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