Energy Efficient Topology Management for Beyond Next Generation Broadband Systems

In beyond next generation mobile broadband systems, researchers are considering multi-hop networks in order to deliver high throughput densities or extend the coverage area at low cost. This requires a large number of fixed base stations in the service area. Currently, these kinds of base stations are designed for best performance, where energy efficiency is not primarily considered. The purpose of this project is to reduce the overall energy consumption by topology management for the networks with a large number of base stations deployed.

This project will focus on the topology management strategies for switching on/off parts of base stations in order to achieve energy saving when the system traffic is at low or middle level (eg. in the evening or the areas with low offered traffic densities). Both distributed and centralized dynamic topology management techniques and cognitive radio techniques (including reinforcement learning) will be developed to reduce the energy consumption of the networks. These strategies will be applied to the beyond next generation wireless broadband architectures.

A mixture of simulation and analysis will be used to assess performance. Markov analysis and set theory will be particularly important analytical tools. This work will integrate closely with other activities within the group.

Key objectives

To understand the architecture of beyond next generation broadband systems
To investigate how dynamic topology management techniques, cognitive radio techniques (including reinforcement learning) can benefit the system energy consumption while keeping the system performance at a good level.
To simulate/analyse the energy efficient topology management strategies with high throughput density wireless communications architectures and compare with existing solutions

Outputs

Energy efficient dynamic and learning based topology management strategies for beyond next generation wireless broadband systems
Simulation and analysis show relative performance of the schemes
Contributions to conference and journal papers

Energy Efficient Topology Management for Beyond Next Generation Broadband Systems

Key objectives

Outputs

Members

Dates

Research