The Journal of China Universities of Posts and Telecommunications ›› 2024, Vol. 31 ›› Issue (4): 70-82.doi: 10.19682/j.cnki.1005-8885.2024.1017

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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

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