Joint Antenna and User Selection Algorithm for Uplink of Multiuser MIMO Systems using Sequential Monte Carlo Optimization

Authors:
Yangyang Zhang;Chunlin Ji;Wasim Q. Malik;Yi Liu;Dominic C. O'Brien;David J. Edwards
Affiliations:
Department of Engineering Science, University of Oxford, UK;Institute of Statistics and Decision Sciences, Duke University, USA;Department of Engineering Science, University of Oxford, UK;Department of Engineering Science, University of Oxford, UK;Department of Engineering Science, University of Oxford, UK;Department of Engineering Science, University of Oxford, UK
Venue:
SSP '07 Proceedings of the 2007 IEEE/SP 14th Workshop on Statistical Signal Processing
Year:
2007

Citing 0
Cited 2

Particle Filter with Swarm Move for Optimization

Proceedings of the 10th international conference on Parallel Problem Solving from Nature: PPSN X
EDA-Based Scheduling of Users in the MIMO Multiple Access Channel

Wireless Personal Communications: An International Journal

Quantified Score

Hi-index	0.00

Visualization

Abstract

A cross-layer optimization design is developed for the uplink of multiuser multiple-input multiple-output (MIMO) systems, in which the user-based selection scheduling is executed at the medium access control (MAC) layer, while the antenna selection is performed at the physical (PHY) layer. In order to obtain the optimal cross-layer design, a framework based on sequential Monte Carlo (SMC) optimization is presented to jointly consider the user and antenna selection. With the proposed joint user and antenna selection algorithm, the sum capacity of the multiuser MIMO uplink converges to within 99% of that obtained by exhaustive search method, while the complexity is substantial low.