Advanced signal processing techniques for multi-user multiple-input multiple-output broadband wireless communications.

Lead Research Organisation: Queen's University of Belfast
Department Name: Electronics Electrical Eng and Comp Sci


The field of wireless communications technology is currently undergoing tremendous expansion, which has been brought about by the rapid proliferation of many diverse and exceptionally compelling commercial, governmental, and consumer applications including wireless internet and multimedia communications. As the wireless industry becomes ubiquitous and popular, arguably the most critical condition of current wireless communications systems is the need for a much larger capacity to support multiusers simultaneously. Supporting such requirements using wireless techniques poses significant technical challenges due to the nature of multipath fading wireless channels and co-channel interferences. In this context, multiple-input multiple-output (MIMO) technology has been identified as a key technology because of effectiveness in improving the capacity and range of wireless communications both in mobile cellular and ad hoc local area networks. As a result of the need for quality of service and capacity, as well as the demonstrated benefits of the MIMO architectures, developing multiuser MIMO systems becomes the key driver in this proposed research interest. The overall aim of the research proposed herein is to develop efficient signal processing strategies for next generation cooperative multiuser MIMO broadband cellular and ad hoc networks. The new systems and algorithms developed in this project will enable the future wireless networks to push simultaneously serviceable users as near to the capacity limits as possible. For wireless users, this aim translates into shorter service response times, fewer waits and faster connections.
Description Developed new receiver strategies suitable for improving the performance of single-user multiple-input multiple-output (MIMO) architectures in complex channel environments, particularly, using low complexity iterative receivers (Turbo-MIMO architectures) to achieve near optimal performance using low complexity.

2. Designed and analysed receiver strategies to multiuser MIMO uplink communications scenarios.

3. Designed new precoding strategies suitable for multiuse MIMO broadcast channels (downlink).

4. Development cognitive relay network strategies for cellular and ad hoc networks to improve the capacity and reliability of multiuser communications systems.
Exploitation Route Findings can be used within the downlink systems in 5G to improve multiuser capacity.
Sectors Digital/Communication/Information Technologies (including Software)

Description Impact of the project was created using outcomes (forms of publications) of this proposal; particularly, presentation of research findings at the leading national and international conferences and journal publications in the foremost journals where the ideas will be shared with the largest community of interested and active parties. The publications addressed fundamental algorithmic development, theoretical analysis and simulation based results (analysis). We believe these created impact within academic and research communities.
First Year Of Impact 2008
Sector Digital/Communication/Information Technologies (including Software)
Impact Types Societal,Economic

Description Cognitive radio oriented wireless networks (CROWN)
Amount £400,000 (GBP)
Funding ID CROWN- 233843 
Organisation European Commission 
Department Seventh Framework Programme (FP7)
Sector Public
Country European Union (EU)
Start 05/2009 
End 04/2012
Description DSTL call for MASNET
Amount £60,000 (GBP)
Organisation Defence Science & Technology Laboratory (DSTL) 
Sector Public
Country United Kingdom
Start 01/2016 
End 12/2017
Description Chalmers University Sweden 
Organisation Chalmers University of Technology
Country Sweden 
Sector Academic/University 
PI Contribution We introduce low complexity receivers to DS-CDMA based multiuser systems.
Collaborator Contribution The transmitter design was initiated by the partners.
Impact Publications Pei Xiao, Jinsong Wu, Mathini Sellathurai, T. Ratnarajah, Erik Strom, "Iterative Multi-User Detection and Decoding for DS-CDMA System with Space-Time Linear Dispersion," IEEE Transaction on Vehicular Technology. Vol 58, Page(s):2343 - 2353, June 2009. (citations 6)
Start Year 2008
Description LTE- A Multiuser MIMO 
Organisation Huawei Technologies
Country China 
Sector Private 
PI Contribution Consuting work to LTE Aavanced Multiuser MIMO carried out by the research fellow.
Collaborator Contribution Testing and developing Algorithms
Impact Reports
Start Year 2010
Description Ministry of Defence/ Defence Science and Technology Lab 
Organisation Defence Science & Technology Laboratory (DSTL)
Country United Kingdom 
Sector Public 
PI Contribution The work was carried out under University Defence Research Centre Phase 1 and collaborated with Defence Science and Technology Lab members. We carried out the theoretical and algorithm development tasks.
Collaborator Contribution We have received the Bright Sapphire Synthetic Aperture radar (SAR) dataset from Dr Carolyn Winkworth from DSTL, and subsequently have been in contact with DSTL with regard to some data-reading MATLAB codes, and collaboration on the data.
Impact We developed a demo and software.
Start Year 2012
Description Queen's University Kingston Canada 
Organisation Queen's University
Country Canada 
Sector Academic/University 
PI Contribution This collaboration formed a new space-time coding framework with iterative receivers (low complexity optimal receivers) suitable for multiuser communications. We contributed in receiver development and analysis.
Collaborator Contribution The coding (transmitter design) was developed by the partner institution.
Impact Joint publications: J. Wu, P. Xiao, M. Sellathurai, S. Blostein and T. Ratnarajah, "Joint Complex Diversity Coding and Channel Coding Over Space, Time and Frequency," IEE Journal on Signal Processing, October 2011, pp. 643-651. Wu, P. Xiao, M. Sellathurai, and T. Ratnarajah, "On the Performance of Space-Time Coded Multiuser MIMO Systems with Iterative Receivers," IEEE Vehicular Technology Conference, Barcelona, April 26-29, 2009.
Start Year 2008
Description University of Sydney 
Organisation University of Sydney
Country Australia 
Sector Academic/University 
PI Contribution We analysed down-link and uplink systems of LTE-Advanced Schemes.
Collaborator Contribution The LTE up-link Simulator was provided by the partner organization.
Impact Publications: Z. Lin, P. Xiao, B. Vucetic and M. Sellathurai, "Analysis of Receiver Algorithms for LTE SC-FDMA Based Uplink MIMO Systems," IEEE Transactions on Wireless Communications, Volume 9, Issue 1, 2010, Page(s): 60 - 65 (18 citations). Received contract from Huawei Technology based on this work.
Start Year 2009