In this paper, the space-time code selection technique for multiple-inputs single-output systems is optimized using particle swarm optimization. We considered both variable-rate and constant-rate strategies. For a variable-rate technique, we address the problems of minimizing the bit-error rate for a given throughput objective and maximizing the throughput for a given bit-error rate objective. For a constant-rate technique, we address the problem of minimizing the bit-error rate. Results show that it is possible to find BER and throughput values close to those required when using a variable-rate technique with optimized threshold levels. For the constant-rate technique, we obtain considerable energy to noise gains when using optimized threshold levels.

中文翻译：

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通过粒子群优化选择时空代码

本文采用粒子群算法对多输入单输出系统的时空码选择技术进行了优化。我们同时考虑了可变利率和恒定利率策略。对于可变速率技术，我们解决了以下问题：对于给定的吞吐量目标，最小化误码率；对于给定的误码率目标，最大化吞吐量。对于恒定速率技术，我们解决了最小化误码率的问题。结果表明，当使用具有优化阈值水平的可变速率技术时，可以找到接近所需的BER和吞吐量值。对于恒定速率技术，当使用优化的阈值水平时，我们会获得可观的能量到噪声增益。