基于5G毫米波协作通信的小单元无线能量信标优化部署策略

Optimization Deployed Strategy of Wireless Power Beacon Based on 5G Millimeter Wave Cooperative Communication Small Cell

关键词:  无线携能通信  移动边缘计算  设备间通信  任务卸载  功率分配

Key words:  Simultaneous Wireless Information and Power Transfer (SWIPT)  mobile edge computing  communication between devices  task uninstallation  power splitting

摘要:

为实现第五代移动通信(5G)无线网络中高频谱效率与低能耗的绿色通信目的，本文研究了基于毫米波(mmWave)协作通信小单元下无线能量信标(Power Beacons，PB)的优化部署策略。该策略构建了一个高低频混合组网的能量受限型用户设备(User Equipment Devices，UE) 毫米波协作通信的小单元网络模型，通过设计一个“需求-选择-建链”模式的新型建链协议，将通信毫米波定向传输技术应用于该建链过程中。在此模型基础上，以提高边缘系统频谱效率和能量收集覆盖率为目标，通过最小化固定充电的能量信标数量，在实现系统能耗最小化问题基础上保证系统的正常运行。针对该最优化问题是一个混合整数规划的多项式复杂程度的非确定性(Non-deterministic Polynomial Hard，NP-难)问题，设计一个具有常数因子的贪心算法近似求解优化问题。理论分析证明了该算法的可行性。仿真结果表明，本研究提出的优化部署策略能有效优化能量信标部署，在同等覆盖率与区域频谱效率增益下能耗最低。

Abstract:

In order to achieve the purpose of green communication with high spectral efficiency and low energy consumption in the fifth-generation mobile communication (5G) wireless network,the optimal deployment strategy of wireless Power Beacon (PB) based on mmWave cooperative communication small cell is studied experimentally.This strategy constructs a small cell network model of energy-constrained User Equipment Devices (UE) millimeter-wave cooperative communication in high and low frequency hybrid networks.By designing a new chain-building protocol with a “demand-selection-chain-building” mode,the communication millimeter-wave directional transmission technology is applied to the chain-building process.On the basis of this model,in order to improve the spectrum efficiency and energy collection coverage of the edge system,the normal operation of the system is ensured on the basis of minimizing the energy consumption of the system by minimizing the number of fixed charging energy beacons.The optimization problem is a Non-deterministic Polynomial Hard (NP-hard) problem with polynomial complexity of mixed integer programming.A greedy algorithm with constant factor is designed to solve the optimization problem approximately.Theoretical analysis proves the feasibility of the algorithm. The simulation results show that the proposed strategy can effectively optimize the PBs deployment,and the energy consumption is the lowest under the same coverage and regional spectrum efficiency gain.