中国邮电高校学报(英文) ›› 2024, Vol. 31 ›› Issue (4): 70-82.doi: 10.19682/j.cnki.1005-8885.2024.1017

• Others • 上一篇    下一篇

Power and Rate Adaption in Wireless Communication Systems with Energy Harvesting–Based on Soft Decision Decoding

雷维嘉1,于顺洪1,刘美玎2   

  1. 1. 重庆邮电大学
    2. 重庆邮电大学通信与信息工程学院
  • 收稿日期:2023-08-31 修回日期:2024-03-29 出版日期:2024-08-31 发布日期:2024-08-31
  • 通讯作者: 刘美玎 E-mail:liumd1102@163.com

Power and Rate Adaption in Wireless Communication Systems with Energy Harvesting–Based on Soft Decision Decoding

  • Received:2023-08-31 Revised:2024-03-29 Online:2024-08-31 Published:2024-08-31
  • Contact: Mei-Ding LIU E-mail:liumd1102@163.com

关键词:

Abstract: In this paper, the online power control and rate adaptation for a wireless communication system with energy harvesting are investigated, in which soft decision decoding is adopted by the receiver. To efficiently utilize the harvested energy and maximize the average actual information transmission rate, transmit power, modulation order and code rate are jointly optimized. The Lyapunov framework is utilized to transform the long-term optimization problem into an optimization problem per time slot. Since there is no theoretical formula for the error rate of soft decision decoding, the optimization problem cannot be analytically solved. A table to find the optimal modulation order and code rate under the different values of signal-to-noise ratio is built first, and then a numeric algorithm to find the solution to the optimization problem is given. The feasibility and performance of the proposed algorithm are demonstrated by simulation. The simulation results show that compared with the algorithms to maximize the theoretic channel capacity, the proposed algorithm can achieve a higher actual transmission rate.

Key words: energy harvesting, power control, rate adaption, soft decision decoding, Lyapunov framework