Convex Optimization Based Robust Spatial Multiplexing Techniques for Downlink Multiuser Wireless Systems
Overview
| Title: | Convex Optimization Based Robust Spatial Multiplexing Techniques for Downlink Multiuser Wireless Systems |
| Duration: | 2008 - 2012 |
| Sponsor: | EPSRC |
Abstract
The overarching objective is to advance fundamentally the state of the art in array signal processing and optimization methods for the enhancement of capacity and coverage of a multiuser wireless system through the exploitation of advanced spatial diversity techniques. The focus is to provide novel transmitter diversity and spatial multiplexing techniques which are resilient to errors in the channel state information by designing them within a convex optimization framework such as second order cone programming and semidefinite programming.
People
Publications
K. Cumanan, L. Musavian, S. Lambotharan and A. Gershman, “SINR Balancing Technique for Downlink Beamforming in Cognitive Radio Networks,” accepted for publication in IEEE Signal Processing Letters 2009.
L. Musavian and S. Lambotharan, “Power Allocation in Service-Outage Constrained Spectrum-Sharing Channels,” to be presented in the First UK-India International Workshop on Cognitive Wireless Systems, UKIWCWS 2009, IIT Delhi, India, Dec. 2009.
Y. Rahulamathavan, K. Cumanan, L. Musavian and S. Lambotharan, Optimal Subcarrier and Bit Allocation Techniques for Cognitive Radio Networks using Integer Linear Programming,” IEEE Statistical Signal Processing Workshop, Cardiff, Sept. 2009.