• 中国计算机学会会刊
  • 中国科技核心期刊
  • 中文核心期刊

计算机工程与科学 ›› 2024, Vol. 46 ›› Issue (04): 626-634.

• 计算机网络与信息安全 • 上一篇    下一篇

无线携能通信下mmWave协作通信小单元的能效最优策略

卢明妤1,3,李陶深1,2,吕品1   

  1. (1.广西大学计算机与电子信息学院,广西 南宁 530004;2.南宁学院信息工程学院,广西 南宁 530200;
    3.广西医科大学基础医学院,广西 南宁 530021)

  • 收稿日期:2023-06-30 修回日期:2023-09-18 接受日期:2024-04-25 出版日期:2024-04-25 发布日期:2024-04-18
  • 基金资助:
    国家自然科学基金(62062008,61762010);广西科技计划(桂科AD20297125)

An optimal energy efficiency strategy based on mmWave cooperative communication small cell under SWIPT

LU Ming-yu1,3,LI Tao-shen1,2,L Pin1   

  1. (1.School of Computer,Electronics and Information,Guangxi University,Nanning 530004;
    2.School of Information Engineering,Nanning University,Nanning 530200;
    3.School of Basic Medical Science,Guangxi Medical University,Nanning 530021,China)
  • Received:2023-06-30 Revised:2023-09-18 Accepted:2024-04-25 Online:2024-04-25 Published:2024-04-18

摘要: 针对无线携能通信(SWIPT)网络中的能量与信息同时传输阶段的优化问题,以最大化链路能量效率为目标,提出一种SWIPT下mmWave协作通信小单元的能效最优策略。该策略在最小链路传输速率和最小收集能量的联合约束下,在能量受限型用户设备的接收端采用功率分流工作模式,通过优化发射功率控制和功率分流因子,最大化系统链路能量效率。针对原问题是一个非凸的分式规划问题,具有NP难性质,采用Dinkelbach方法将目标函数转化为易于求解的凸优化问题,并设计一个交叉迭代的算法求出最优解。仿真实验结果表明,提出的策略在优化系统能量效率性能上要优于传统功率控制方法和最大发射功率法。

关键词: 无线携能通信, 毫米波协作通信, 能量效率, 优化部署, 能量收集, 功率分流

Abstract: Addressing the optimization problem during the simultaneous energy and information transmission stage in the simultaneous wireless information and power transfer (SWIPT), an optimal energy efficiency strategy based on mmWave cooperative communication small cell is proposed to maximize the link energy efficiency. This strategy, under the joint constraints of minimum link transmission rate and minimum collected energy, employs a power splitting mode at the receiving end of energy- constrained user devices. By optimizing transmit power control and power splitting factors, it aims to maximize the system's link energy efficiency. Recognizing the original problem as a non-convex fractional programming problem with NP-hard characteristics, the Dinkelbach method is utilized to transform the objective function into a convex optimization problem that is easier to solve. An iterative algorithm is designed to find the optimal solution through cross iterations. Simulation results demonstrate that the proposed strategy outperforms traditional power control methods and maximum transmit power approaches in optimizing system energy efficiency.

Key words: simultaneous wireless information and power transfer(SWIPT), millimeter wave coope- rative communication, energy efficiency, deployment optimization, energy harvesting, power splitting