Performance Bounds for Space–Time Block Codes With Receive Antenna Selection

Zeng, Xiang Nian; Ghrayeb, Ali

doi:10.1109/tit.2004.833363

Cited by 85 publications

(42 citation statements)

References 24 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The result of Theorem 2 is not surprising by recognizing the similarity of DCS detection and antenna selection techniques for MIMO systems [22]- [26]. The above theories and speculation about DCS decoding performance will be verified by simulations in Section V.…”

Section: B Suboptimal Diversity Channel Selection (Dcs) Decodingmentioning

confidence: 69%

See 1 more Smart Citation

Signal Space Diversity Techniques with Fast Decoding Based on MDS Codes

Shang

Wang

Xia

2010

IEEE Trans. Commun.

View full text Add to dashboard Cite

Abstract-In wireless communication systems, signal space diversity techniques are usually adopted to combat channel fading by exploiting time diversity, frequency diversity, spatial diversity or a combination of them. Most existing schemes to achieve signal space diversity are based on linear constellation spreading. In this paper, we propose a novel nonlinear signal space diversity technique based on maximum distance separable (MDS) codes. The new technique provides a design flexibility for almost any number of diversity channels and desired diversity orders. We also propose a simple and suboptimal diversity channel selection (DCS) decoding for our new scheme. DCS decoding can greatly reduce the decoding complexity at a cost of marginal performance loss relative to the optimal detection while keeping the diversity order. Simulation results show that with the same throughput but a lower decoding and implementation complexity, our scheme can have superior performance than the optimal linear spreading schemes over either independent fading or additive white Gaussian noise (AWGN) channels.

show abstract

Section: B Suboptimal Diversity Channel Selection (Dcs) Decodingmentioning

confidence: 69%

“…One can easily show that the detection performance for Phase I possesses a diversity order − + 1 by applying certain results of order statistics [22]. Furthermore, since still keeps a minimum Hamming distance , the decoding of Phase II has a diversity order .…”

Section: B Suboptimal Diversity Channel Selection (Dcs) Decodingmentioning

confidence: 99%

Signal Space Diversity Techniques with Fast Decoding Based on MDS Codes

Shang

Wang

Xia

2010

IEEE Trans. Commun.

View full text Add to dashboard Cite

show abstract

“…When we verify and assess BER performance of communication systems, Chernoff upper bounds is a kind of effective tool [30]. Therefore, in this paper, we explicitly derive Chernoff upper bounds on the bit error probability and study their diversity order.…”

Section: International Journal On Smart Sensing and Intelligent Systementioning

confidence: 99%

Performance Bound Analysis on Transmit Antennas Selection Systems Considering Erroneous Channel Information

Zhuang

2015

International Journal on Smart Sensing and Intelligent Systems

View full text Add to dashboard Cite

show abstract

“…In [6], the distribution theory of transformation of random vectors was discussed. In [7], performance bounds were derived for STBC with GSC at the receiver side.…”

Section: Introductionmentioning

confidence: 99%