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A Novel Joint Power and Feedback Bit Allocation Interference Alignment Scheme for Wireless Sensor Networks

机译：无线传感器网络的一种新型联合功率和反馈比特分配干扰对准方案

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摘要

It is necessary to improve the energy efficiency of batteries in wireless sensor networks (WSNs). The multiple-input multiple-output (MIMO) technique has become an important means to ameliorate WSNs, and interference management is the core of improving energy efficiency. A promising approach is interference alignment (IA), which effectively reduces the interference and improves the throughput of a system in the MIMO interference channels. However, the IA scheme requires perfect channel state information (CSI) at all transceivers in practice, which results in considerable feedback overhead. Thus, limited IA feedback has attracted much attention. In this paper, we analyze the throughput loss of the K-user MIMO interference channels when each transmitter delivers multiple streams in one slot, and derives the upper-bound of the system interference leakage and throughput loss. Then, to reduce the interference leakage and throughput loss for the MIMO interference alignment with limited feedback, a joint power and feedback bit allocation optimization scheme is proposed. The simulation results show that, compared with the conventional schemes, the presented optimal scheme achieves less residual interference and better performance in the system throughput.
机译：有必要提高无线传感器网络（WSN）中电池的能源效率。多输入多输出（MIMO）技术已成为改善WSN的重要手段，而干扰管理是提高能源效率的核心。一种有前途的方法是干扰对齐（IA），它可以有效减少干扰并提高MIMO干扰信道中系统的吞吐量。但是，实际上，IA方案在所有收发器上都需要完美的信道状态信息（CSI），这会导致相当大的反馈开销。因此，有限的IA反馈引起了很多关注。在本文中，我们分析了当每个发射机在一个时隙中传送多个流时，K用户MIMO干扰信道的吞吐量损失，并得出系统干扰泄漏和吞吐量损失的上限。然后，为了减少具有有限反馈的MIMO干扰对准的干扰泄漏和吞吐量损失，提出了一种联合功率和反馈比特分配的优化方案。仿真结果表明，与常规方案相比，所提出的最优方案在系统吞吐率上实现了更少的残留干扰和更好的性能。

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