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Joint grid energy-throughput optimization for hybrid energy small cell access points

机译:混合能源小型蜂窝接入点的联合电网能量吞吐量优化

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We consider a multiantenna small-cell network where access-points serving multiple users on the downlink and uplink channels. The access point is powered by both renewable and non-renewable energy sources. Its objective is to jointly maximize the throughput of the downlink users and minimize the amount of energy drawn from the non-renewable energy source while guaranteeing the quality of service to both downlink and uplink users. The quality of service of uplink user is achieved if all the received packets are decoded in a given time. Further, we assume that the energy used for sampling and decoding the received packets is not negligible due to the access point small range of operation. With this perspective, the optimal transmit power allocation and received packet decoding policy are investigated in offline and online settings. The joint optimization problem is solved using the dual decomposition method to find the optimal policy. Numerical simulations are conducted to evaluate the performance of the proposed offline and online algorithms. Simulation results shown significant gains compared to the greedy method.
机译:我们考虑一个多天线小蜂窝网络,其中接入点在下行链路和上行链路信道上为多个用户提供服务。接入点由可再生和不可再生能源供电。其目标是在保证下行链路和上行链路用户的服务质量的同时,共同最大化下行链路用户的吞吐量,并最大程度地减少从不可再生能源获取的能量。如果所有接收到的数据包在给定时间内被解码,则可以实现上行链路用户的服务质量。此外,由于接入点的工作范围较小,我们假设用于采样和解码接收到的数据包的能量不可忽略。从这个角度出发,可以在离线和在线设置下研究最佳发射功率分配和接收数据包解码策略。使用对偶分解方法来求解联合优化问题,以找到最优策略。进行数值模拟以评估所提出的离线和在线算法的性能。与贪婪方法相比,仿真结果显示出显着的收益。

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