首页|Power and rate adaption in wireless communication systems with energy harvesting-based on soft decision decoding
Power and rate adaption in wireless communication systems with energy harvesting-based on soft decision decoding
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In this paper,the online power control and rate adaptation for a wireless communication system with energy harvesting(EH)are investigated,in which soft decision decoding is adopted by the receiver.To efficiently utilize the harvested energy and maximize the actual achievable transmission rate under the constraints of the available channel codes and modulation schemes,the transmit power,code rate and modulation order are jointly optimized.The Lyapunov framework is used to transform the long-term optimization problem into a per time slot optimization problem.Since there is no theoretical formula for the error rate of soft decision decoding,the optimization problem cannot be solved analytically.A table to find the optimal modulation order and code rate under the different values of signal-to-noise ratio(SNR)is built first,and then a numerical 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 theoretical channel capacity,the proposed algorithm can achieve a higher actual transmission rate.
energy harvestingpower controlrate adaptionsoft decision decodingLyapunov framework
Lei Weijia、Yu Shunhong、Liu Meiding
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School of Communications and Information Engineering,Chongqing University of Posts and Telecommunications,Chongqing 400065,China
Chongqing Key Lab of Mobile Communication Technology,Chongqing 400065,China
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