Lecturer: Dr W Guo MEng (Camb), MA, PhD (Camb)
Background: The need to convey information has always existed between organisms. Today, the flow of information is on an unprecedented scale and a key part of this global information exchange system is the wireless network. The module will examine the historical evolution of wireless communication networks and its direction for the future years to come. In particular, the module focuses on the architecture of networks, its key components, the industrial performance metrics, and both simulation and mathematical modeling techniques used to design and optimise networks.
Aims: This module aims to provide the student with an advanced understanding of wireless communication systems and networks. It will cover the emerging challenges related to wireless data transfer, namely: data capacity growth, cost- and energy-efficiency, large-scale modeling, and network integration. There is also a focus on urban areas, where there is an exponentially growing demand density for wireless data.
The topics tackled will be:
- Introduction to Advanced Wireless Networks in Urban Areas
Driving factors behind mobile data growth and challenges related to cost and interference. Basics of wireless data transmission in terms of propagation channel, link budget, and deployment.
- Network Architecture & Development
Evolution from 2G to 3G to 4G to 4G Advanced in terms of physical layer and architecture. Heterogeneous radio network deployment and integration.
- Performance Metrics:
Signal and interference power, capacity and throughput, outage probability, quality-of-service, quality-of-experience, cost- and energy-efficiency and consumption.
- Large-scale Network Modelling:
A software (MATLAB) and mathematical (stochastic geometry) approach, with consideration to Monte-Carlo sampling, wrap-around, user mobility modelling techniques.
- Radio Resource Management:
Multi-user scheduling in different wireless networks, antenna tilting and both hard and soft frequency reuse techniques.
- Multi-hop Networks:
Macro- and micro-level signal diversity, data extinction probability, and repetition cooperative networks.
- Power Management and Low Energy Wireless Networks:
Sleep mode, adaptive antenna basestations, heterogeneous network;
- Application of wireless communication in Smart Cities/Living and Smart Grids:
Machine-2-machine communication, home energy usage monitoring and mobile sensing applications;
Cellular Network Layout
Pre-requisit and Accompanying Modules: There are no pre-requisit modules, but students should be comfortable with basic probability, numerical-based software programming, and some understanding of signal processing and electromagnetic waves.
It is adviced by the lecturer to take this module with the following to maximise understanding: ES9R8 Wireless Communications (a fundamental understanding of physical signal transmission and propagation), and CS345 Sensor Networks and Mobile Data Communications (a high level understanding of a wide variety of wireless networks).
Learning Outcomes: At completion, students will be able to:
- Gained knowledge of modern techniques for wireless network design and modeling.
- Understand the key performance metrics of wireless networks
- Understand the incentives and barriers to integration
- Analyze the benefits of emerging technologies on existing networks
- Network Basics: Advanced Cellular Network Planning and Optimisation: 2G/2.5G/3G...Evolution to 4G, A. Mishra, Wiley, 2006
- 4G LTE Networks: LTE for UMTS: OFDMA and SC-FDMA Based Radio Access, H. Holma and A. Toskala, Wiley, 2009
- Future Technologies: Heterogeneous Cellular Networks: Theory, Simulation, and Deployment, X. Chu and D. Lopez-Perez, and Y. Yang and F. Gunnarsson, Cambridge University Press, 2013
- Mathematical Modeling: Stochastic Geometry for Wireless Networks, M. Haenggi, Cambridge University Press, 2013
- Communication Theory: Fundamentals of Wireless Communication, D. Tse and P. Viswanath, Cambridge University Press, 2005
1. Assignment 60%
2. Test 40%