Optimal Online Transmission Policy For Energy-Constrained Wireless-Powered Communication Networks
ICC 2019 - 2019 IEEE International Conference on Communications (ICC)(2019)
摘要
This work considers the design of online transmission policy in a wireless-powered communication system with a given energy budget. The system design objective is to maximize the long-term throughput of the system exploiting the energy storage capability at the wireless-powered node. We formulate the design problem as a constrained Markov decision process (CMDP) problem and obtain the optimal policy of transmit power and time allocation in each fading block via the Lagrangian approach. To investigate the system performance in different scenarios, numerical simulations are conducted with various system parameters. Our simulation results show that the optimal policy significantly outperforms a myopic policy which only maximizes the throughput in the current fading block. Moreover, the optimal allocation of transmit power and time is shown to be insensitive to the change of modulation and coding schemes, which facilitates its practical implementation.
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关键词
optimal allocation,current fading block,myopic policy,system parameters,system performance,time allocation,transmit power,optimal policy,constrained Markov decision process problem,wireless-powered node,energy storage capability,long-term throughput,system design objective,wireless-powered communication system,energy-constrained wireless-powered communication networks,optimal online transmission policy
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