Mobile Communications
The current evolution from the fourth generation (4G) to the fifth generation (5G) mobile communication systems has to tackle the challenge of meeting the tremendous growth of the amount of data demand from the users and devices. By the Cisco Global Mobile Data Traffic Forecast, the amount of data will reach 49 Exabytes by year 2021, with a compound annual growth rate (CAGR) of 47%. A number of technical solutions, such as massive antennas, ultra-dense networks, device-to-device communications, and new access schemes, have been proposed to address the challenge. Performance optimisation of mobile communications with respect to the new technical concepts and solutions calls for original research.
Resource Optimisation
The research investigates optimisation models and solution algorithms for a wide range of resource allocation problems in 4G and 5G networks. One example is characterisation and solution of optimal resource allocation among the users in a mobile network, taking into account the interference between the network base stations, such that the spectrum efficiency is maximised. Another topic is mathematical analysis and methods for optimally performing non-orthogonal resource allocation (i.e., the same time and frequency resource is reused by multiple users of the same base station) for 5G systems.
Caching
Caching popular contents is an important concept in mobile edge computing. With caching, network users can obtain their requested contents from the edge nodes so as to improve the network performance in terms of energy efficiency and downloaded delay. The caching performance depends heavily how optimal the content caching is with respect to user demand as well as mobility. Our research deals with cost-optimal caching in presence of user mobility for large-scale networking scenarios. Another topic under study is dynamic optimisation of cache content.
Related Research Papers
- Cost-Optimal Caching for D2D Networks with User Mobility: Modeling, Analysis, and Computational Approaches. Accepted for publication inIEEE Transactions on Wireless Communications.
- Efficient Minimum-Energy Scheduling with Machine-Learning based Predictions for Multiuser MISO Systems. (Will appear in IEEE International Conference on Communication (ICC) 2018)
- A Deep Learning Approach for Optimizing Content Delivering in Cache-Enabled HetNet
- Device Caching for Network Offloading: Delay Minimization with Presence of User Mobility
- Resource Optimization with Load Coupling in Multi-cell NOMA
- User-centric Performance Optimization with Remote Radio Head Cooperation in C-RAN