Title :
A Quasi-Random Approach to Space–Time Codes
Author :
Wu, Keying ; Ping, Li
Author_Institution :
Res. & Innovation Center, Alcatel Shanghai Bell Co., Ltd., Shanghai
fDate :
3/1/2008 12:00:00 AM
Abstract :
This paper presents a quasi-random approach to space-time (ST) codes. The basic principle is to transmit randomly interleaved versions of forward error correction (FEC)-coded sequences simultaneously from all antennas in a multilayer structure. This is conceptually simple, yet still very effective. It is also flexible regarding the transmission rate, antenna numbers, and channel conditions (e.g., with intersymbol interference). It provides a unified solution to various applications where the traditional ST codes may encounter difficulties. We outline turbo-type iterative joint detection and equalization algorithms with complexity (per FEC-coded bit) growing linearly with the transmit antenna number and independently of the layer number. We develop a signal-to-noise-ratio (SNR) evolution technique and a bounding technique to assess the performance of the proposed code in fixed and quasi-static fading channels, respectively. These performance assessment techniques are very simple and reasonably accurate. Using these techniques as a searching tool, efficient power allocation strategies are examined, which can greatly enhance the system performance. Simulation results show that the proposed code can achieve near-capacity performance with both low and high rates at low decoding complexity.
Keywords :
forward error correction; iterative decoding; random codes; space-time codes; forward error correction; iterative decoding; quasi-random code; space-time codes; Diversity methods; Forward error correction; Interleaved codes; Intersymbol interference; Iterative decoding; Nonhomogeneous media; Parity check codes; Signal design; Signal to noise ratio; Transmitting antennas; Equalization; forward error correction (FEC); iterative decoding; power allocation; quasi-random code; space–time (ST) code;
Journal_Title :
Information Theory, IEEE Transactions on
DOI :
10.1109/TIT.2007.915889