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Full-Rate 2x1 Space-Time Codes with High Diversity Gain

Qiang Feng, Hongyi Yu, Bo Yang

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Abstract

Alamouti scheme provides a diversity gain no more than 2 over time-selective fading channels under the circumstances of 2×1 MIMO. A full-rate space-time code, space-time codes for time-selective fading (STC-TS), is proposed to provide more diversity gain when the channels fade fast. While the transmission lasts 2N (N>1) symbol periods, the diversity gain is almost 2N. What's more, the optimization of parameters is performed according to minimizing the upper bound of pairwise error probability (PEP) when N=2 and BPSK is employed. Simulation shows that the diversity order of STC-TS is almost 4 when N=2 if channels fade fast enough.

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What this paper is about

Alamouti scheme provides a diversity gain no more than 2 over time-selective fading channels under the circumstances of 2×1 MIMO. A full-rate space-time code, space-time codes for time-selective fading (STC-TS), is proposed to provide more diversity gain when the channels fade fast. While the transmission lasts 2N (N>1) symbol periods, the diversity gain is almost 2N. What's more, the optimization of parameters is performed according to minimizing the upper bound of pairwise error probability (PEP) when N=2 and BPSK is employed. Simulation shows that the diversity order of STC-TS is almost 4 when N=2 if channels fade fast enough.

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Available abstract

Alamouti scheme provides a diversity gain no more than 2 over time-selective fading channels under the circumstances of 2×1 MIMO. A full-rate space-time code, space-time codes for time-selective fading (STC-TS), is proposed to provide more diversity gain when the channels fade fast. While the transmission lasts 2N (N>1) symbol periods, the diversity gain is almost 2N. What's more, the optimization of parameters is performed according to minimizing the upper bound of pairwise error probability (PEP) when N=2 and BPSK is employed. Simulation shows that the diversity order of STC-TS is almost 4 when N=2 if channels fade fast enough.

Key concepts: Pairwise error probability, Diversity gain, Fading, Algorithm, Code (set theory), Upper and lower bounds, Computer science, Code rate

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