Power allocation of distributed space-frequency coding for OFDM-based hybrid relay selection

Sileh, Ibrahim Khalil, Xiang, Wei, and Maxwell, Andrew (2014) Power allocation of distributed space-frequency coding for OFDM-based hybrid relay selection. In: Proceedings of the 7th International Conference on Signal Processing. From: ICSPCS 2013: 7th International Conference on Signal Processing, 16-18 December 2013, Gold Coast, QLD, Australia.

[img] PDF (Published Version) - Published Version
Restricted to Repository staff only

View at Publisher Website: http://dx.doi.org/10.1109/ICSPCS.2013.67...
 
1


Abstract

Cooperative communications in conjunction with orthogonal frequency division multiplexing (OFDM) has recently emerged as a promising technique to mitigate multi-path fading and provides high spectral efficiency in broadband wireless communications systems. In this paper, we investigate resource allocation of an OFDM modulation scheme combined with distributed space-frequency codes (DSFC) based upon a hybrid relay selection protocol. The optimum problem is divided into two suboptimal problems. The first one is to optimize the power allocation between the source and relay nodes under a sum power constraint. Then the relay power is optimized for the selected relay nodes according to the channel power gain of the second time slot. Simulation results show that a substantial improvement in terms of bit error rate (BER) and capacity performance can be achieved in comparison with conventional relaying protocols.

Item ID: 43256
Item Type: Conference Item (Research - E1)
ISBN: 978-1-4799-1319-0
Keywords: Alamouti code, DSFC, hybrid relay protocol, OFDM, power allocation
Date Deposited: 24 Feb 2016 07:47
FoR Codes: 09 ENGINEERING > 0906 Electrical and Electronic Engineering > 090699 Electrical and Electronic Engineering not elsewhere classified @ 100%
SEO Codes: 89 INFORMATION AND COMMUNICATION SERVICES > 8901 Communication Networks and Services > 890199 Communication Networks and Services not elsewhere classified @ 100%
Downloads: Total: 1
More Statistics

Actions (Repository Staff Only)

Item Control Page Item Control Page