Beijing Key Laboratory of Work Safety Intelligent Monitoring, School of Electronic Engineering, Beijing University of Posts and Telecommunications, Beijing 100876, China.
Sensors (Basel). 2018 Oct 8;18(10):3362. doi: 10.3390/s18103362.
The simultaneous wireless information and power transfer (SWIPT) technique has been regarded as an appealing approach to prolong the lifetime of wireless sensor networks. However, co-channel interferences with SWIPT in wireless networks have not been investigated from a green communication perspective. In this paper, joint transmit and receive beamforming design for a full-duplex multiple-input multiple-output amplify-and-forward relay system with simultaneous wireless information and power transfer in WSNs is investigated. Multiple co-channel interferers are considered at the relay and destination sensor nodes. To minimize the mean-squared-error of the system, joint source and relay beamforming optimization is proposed while guaranteeing the transmit power constraints and destination's energy harvesting constraint. An iterative algorithm based on alternating optimization with successive convex approximation which converges to a local optimum is proposed to solve the non-convex problem. Moreover, a low-complexity scheme is derived to reduce the computational complexity. Simulations for MSE versus iterations and MSE versus signal-to-noise ratio (SNR) demonstrate the convergence and good performance of the proposed schemes.
同时无线信息与功率传输（SWIPT）技术被认为是延长无线传感器网络生命周期的一种有吸引力的方法。然而，从绿色通信的角度来看，无线网络中的同频干扰与 SWIPT 之间的关系尚未得到研究。本文研究了在 WSN 中具有同时无线信息与功率传输的全双工多输入多输出放大转发中继系统的联合发射和接收波束形成设计。在中继和目的传感器节点处考虑了多个同频干扰器。为了最小化系统的均方误差，在保证发射功率约束和目的能量收集约束的同时，提出了联合源和中继波束形成优化。提出了一种基于交替优化和连续凸逼近的迭代算法，该算法收敛于局部最优解。此外，还推导了一种低复杂度的方案来降低计算复杂度。MSE 与迭代次数和 MSE 与信噪比（SNR）的仿真表明了所提出方案的收敛性和良好性能。
