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Joint Network Admission Control, Mode Assignment, and Power Allocation in Energy Harvesting Aided D2D Communication

机译:联合网络准入控制,模式分配和能量收集辅助D2D通信中的功率分配

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摘要

Green communication with sustainable energy is being considered for 5G cellular network and Internet of Things (IoT) mainly with focus on energy harvesting (EH) to prolong network lifetime. Moreover, device-to-device (D2D) communication on shared channels is also considered as a promising technology to achieve high data rates, ultralow latency communication, and high spectral efficiency. In this paper, we investigated resource allocation in EH-aided D2D communication underlying 5G cellular along with enabling IoT services. The objective is to maximize throughput of the network subject to the joint constraints on user performance, number of admitted users for equity and fair usage, mode assignment (cellular or D2D) as per available energy, and transmit power allocation along with EH techniques, which results in a mixed integer nonlinear programming problem. We have proposed a low complexity and efficient algorithm, adaptive resource allocation and energy sentient network (ARA-ESN) using branch-cut, branch-bound, and mesh adaptive direct search (MADs) solutions, where cellular or D2D communication is based on available energy and user performance criteria along with EH through ambient energy and radio frequency (RF) energy transfer techniques. We have applied the outer approximation based linearization technique that guarantees the convergence to the optimal solution. The results show that ARA-ESN branch-cut outperforms ARA-ESN branch-bound and ARA-ESN MADs. Moreover, we have also observed that ambient harvesting increases performance of network due to better acquisition of energy as compared to RF energy transfer.
机译:具有可持续能源的绿色通信是考虑5G蜂窝网络和物联网(物联网),主要是专注于延长网络寿命的能量收集(EH)。此外,共享信道的设备到设备(D2D)通信也被认为是实现高数据速率,超级延迟通信和高光谱效率的有希望的技术。在本文中,我们调查了互联网D2D通信中的资源分配,以及启用物联网服务。目的是将网络的吞吐量最大限度地通过对用户性能的联合限制,承认用户的数量和公平使用,模式分配(Cellular或D2D)的数量,以及传输功率分配以及EH技术,导致混合整数非线性编程问题。我们提出了使用分支,分支绑定和网格自适应直接搜索(MADS)解决方案的低复杂性和高效的算法,自适应资源分配和能量赋予网络(ARA-ESN),其中蜂窝或D2D通信基于可用能量和用户性能标准以及EH通过环境能量和射频(RF)能量传递技术。我们应用了基于外近似的线性化技术,可确保收敛到最佳解决方案。结果表明,ARA-ESN分支削减优于ARA-ESN分支机构和ARA-ESN MADS。此外,我们还观察到,与RF能量转移相比,由于更好地收购能量,环境收获增加了网络的性能。

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