Wei Guofeng, Zhang Bangning, Ding Guoru, Zhao Bing, Wei Yimin, Guo Daoxing
College of Communications Engineering, Army Engineering University, Nanjing 210007, China.
Sensors (Basel). 2020 Apr 3;20(7):2005. doi: 10.3390/s20072005.
For massive multiple-input multiple-output (MIMO) distributed wireless sensor networks, this paper investigates the role of multi-antenna sensors in improving network perception performance. First, we construct a distributed multi-antenna sensor network based on massive MIMO. By using the anti-fading characteristics of multi-antennas, it is better to achieve accurate detection than the single-antenna sensor network. Based on this, we derive a closed-loop expression for the detection probability of the best detector. Then, we consider the case that the sensor power resources are limited, and thus we want to use finite power to achieve higher detection probability. For this reason, the power was optimized by the alternating direction method of multipliers (ADMM). Moreover, we also prove that only statistical channel state is needed in large-scale antenna scenarios, which avoid the huge overhead of channel state information. Finally, according to the simulation results, the multi-antenna sensor network has better detection performance than the single-antenna sensor network which demonstrates the improved performance of the proposed schemes and also validates the theoretical findings.
对于大规模多输入多输出（MIMO）分布式无线传感器网络，本文研究了多天线传感器在提高网络感知性能方面的作用。首先，我们构建了基于大规模MIMO的分布式多天线传感器网络。通过利用多天线的抗衰落特性，比单天线传感器网络能更好地实现精确检测。基于此，我们推导了最佳检测器检测概率的闭环表达式。然后，我们考虑传感器功率资源有限的情况，因此希望用有限功率实现更高的检测概率。为此，通过乘子交替方向法（ADMM）对功率进行了优化。此外，我们还证明在大规模天线场景中仅需统计信道状态，这避免了信道状态信息的巨大开销。最后，根据仿真结果，多天线传感器网络比单天线传感器网络具有更好的检测性能，这证明了所提方案性能的提升，也验证了理论结果。
