Wireless communication enables people to communicate from anywhere to anywhere, at any time.
Our research effort has been devoted to physical and multiple access layer designs for future systems,
including massive antenna systems, advanced coding techniques and efficient signal processing algorithms.
Our current focus is the 5th generation (5G) systems that are planned to meet the rapidly increasing
demand for wireless communications.
Prof. Ping Li
Sparse Recovery and Related Problems
Sparse recovery refers to extracting a high-dimensional vector with few non-zero entries from a
small number of linear measurements, i.e., finding the sparse x from the observed b. In this research,
we exploit non-convex optimization techniques to achieve better recovery performance. Other related
problems include matrix / tensor completion and phase retrieval.
Prof. H C So
Large-Scale Distributed Antenna Systems
The distributed antenna system (DAS) has become a promising candidate for next-generation (5G) mobile communication systems.
The appealing features of distributed antennas have attracted considerable attention from both industry and academia,
and been applied to the cutting-edge technologies such as small cells and the Cloud Radio Access Network (C-RAN).
Our research mainly focuses on modeling and performance analysis of large-scale DASs, including characterization of capacity
scaling laws and optimal resource allocation.
Dr. Lin Dai
Interference Analysis and Mitigation for Heterogeneous Networks
Heterogeneous network with small cells is a promising approach to increase capacity manifold for the
new generation of communications. However, the bandwidth sharing and densification of small cells caused
co-tier and cross-tier interferences. This research is to analyze the statistical properties of interferences
and mitigation methods in two-tier networks with multi-antenna over multipath fading channels.
Dr. S H Leung
Multiple Access and Interference Management in Wireless Networks
Our research focuses on two major problems at the physical and medium access layers, namely, how to
allocate resource among different users and how to mitigate interference caused by simultaneous signal transmissions.
We approach and solve these problems by applied mathematics such as distributed algorithms, combinatorial analysis,
and optimization theory.
Dr. Albert C W Sung
Our research group is based on solving both theoretical and applied problems arising
in communications and signal processing areas. These include feedback communication systems,
multiple-input multiple-output (MIMO) transmission beamforming, array processing, closed-loop
channel sounding and signal adaptation, and precoder/combiner optimization. We contribute by
providing novel adaptive techniques. The fundamental tools whose use we advocate include non-linear
optimization, measure theory, and statistical signal processing.
Dr. TaeJoon Kim
Modern wireless communications have profound impact on our daily life and our society. Our team focuses on future cellular communication systems, signal processing algorithms and emerging communication techniques. Our team members have contributed innovative transmission, detection and signal processing schemes. Applications include wireless speech and data communications, wireless positioning systems, visible light communications and distributed storage systems.
The team is devoted to the research on: wireless communications; wireless sensor networks; information theory; coding theory and techniques; signal processing theory and methods; visible light communications; and data storage systems.
The team consists of the following faculty members:
Dr Lin Dai,
Dr Taejoon Kim,
Dr S H Leung,
Prof Ping Li,
Prof H C So, and
Dr Albert C W Sung.
Last Updated : 10 Jan 2017