论文标题
时空扩散辅助分布的MIMO WSN中的决策融合
Decision Fusion in Space-Time Spreading aided Distributed MIMO WSNs
论文作者
论文摘要
在这封信中，我们在通过无线多访问通道（MAC）报告本地传感器决策之前提出了时空扩散（STS），以在多样性和多重增益之间实现灵活的平衡，并消除MAC场景中固有的内在干扰的任何机会。使用分散矢量扩散传感器决策，利用了多插槽决定的好处，以改善低复杂性多样性增益和机会性吞吐量。另一方面，在报告渠道的接收方面，我们制定并比较了最佳和次级融合规则，以得出可靠的结论。显示结果证明了绩效的增长，而STS的传输从最小的3次到最多6倍，超过了6次，而无需STS。
In this letter, we propose space-time spreading (STS) of local sensor decisions before reporting them over a wireless multiple access channel (MAC), in order to achieve flexible balance between diversity and multiplexing gain as well as eliminate any chance of intrinsic interference inherent in MAC scenarios. Spreading of the sensor decisions using dispersion vectors exploits the benefits of multi-slot decision to improve low-complexity diversity gain and opportunistic throughput. On the other hand, at the receive side of the reporting channel, we formulate and compare optimum and sub-optimum fusion rules for arriving at a reliable conclusion.Simulation results demonstrate gain in performance with STS aided transmission from a minimum of 3 times to a maximum of 6 times over performance without STS.
