Scheduled System Maintenance:
Some services will be unavailable Sunday, March 29th through Monday, March 30th. We apologize for the inconvenience.
By Topic

Turbo multiuser detection for STBC MC-CDMA uplink systems using hybrid particle swarm optimization algorithm

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

The purchase and pricing options are temporarily unavailable. Please try again later.
4 Author(s)
Binbin Xu ; Commun. & Network Lab., Beijing Inst. of Technol., Beijing ; Jianping An ; Ronghua Zhou ; Aihua Wang

We propose in this paper a near-optimal and reduced-complexity turbo multiuser receiver for space-time block-coded (STBC) multi-carrier code division multiple access (MC-CDMA) uplink systems over frequency selective multi-input multi-output (MIMO) fading channels. Since optimal soft-in soft-out (SISO) multiuser detector based on a posteriori probability (APP) algorithm has an exponential computational complexity, a novel SISO multiuser detector employing hybrid particle swarm optimization (PSO) algorithm is developed. The proposed hybrid algorithm which takes the virtue of PSO and the Hopfield neural network (HNN) has better global search ability and faster convergence comparing with other heuristic algorithms. The proposed receiver can achieve bit-error-rate (BER) performance close to that of optimal APP algorithm with significantly lower complexity.

Published in:

Communications and Networking in China, 2008. ChinaCom 2008. Third International Conference on

Date of Conference:

25-27 Aug. 2008