DocumentCode
3069208
Title
A High-Rate Full-Diversity 2x2 Space-Time Code with Simple Maximum Likelihood Decoding
Author
Sezginer, Serdar ; Sari, Hikmet
Author_Institution
Sequans Commun., Paris
fYear
2007
fDate
15-18 Dec. 2007
Firstpage
1132
Lastpage
1136
Abstract
Multiple-input multiple-output (MIMO) techniques have become an essential part of broadband wireless communications systems. For example, the recently developed IEEE 802.16e specifications for broadband mobile wireless access include three MIMO profiles employing 2times2 space-time codes (STCs) and two of those, namely, Alamouti´s STC for transmit diversity, and the 2times2 spatial multiplexing (SM) scheme, are mandatory on the downlink of Mobile WiMAX systems. The first of these has full diversity but it is only half rate, while the second is full rate but suffers from diversity loss. In this paper, we develop a full-diversity STC of size 2times2, which represents an interesting trade-off between these two schemes. More specifically, the presented code is of rate 3/4, it has full diversity, and it leads to simple maximum-likelihood (ML) detection whose complexity grows only linearly with the size of the signal constellation. This makes it a suitable candidate for future evolutions of broadband wireless systems toward higher data rates and performance.
Keywords
MIMO communication; WiMax; broadband networks; maximum likelihood decoding; maximum likelihood detection; mobile radio; space-time codes; IEEE 802.16e specification; broadband wireless communications system; maximum likelihood decoding; maximum-likelihood detection; mobile WiMAX system; multiple-input multiple-output techniques; signal constellation; space-time code; spatial multiplexing scheme; Broadband communication; Constellation diagram; Downlink; MIMO; Maximum likelihood decoding; Maximum likelihood detection; Samarium; Space time codes; WiMAX; Wireless communication; MIMO systems; Mobile WiMAX; maximum likelihood detection; space-time codes;
fLanguage
English
Publisher
ieee
Conference_Titel
Signal Processing and Information Technology, 2007 IEEE International Symposium on
Conference_Location
Giza
Print_ISBN
978-1-4244-1835-0
Electronic_ISBN
978-1-4244-1835-0
Type
conf
DOI
10.1109/ISSPIT.2007.4458067
Filename
4458067
Link To Document