Outage performance analysis and resource allocation algorithm for energy harvesting D2D communication system
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Outage performance analysis and resource allocation algorithm for energy harvesting D2D communication system Na Su1,2 • Qi Zhu1,2
Springer Science+Business Media, LLC, part of Springer Nature 2020
Abstract In this paper, we consider an energy harvesting device-to-device (D2D) communication system, where D2D transmitter can use mode A to directly communicate with D2D receiver or use mode B as a relay to assist cellular communication while communicating with D2D receiver by adopting non-orthogonal multiple access technology. Firstly, the outage probability expression in two modes is derived, and the communication mode is determined according to outage performance. Then, assuming that the full system information is available, the channel allocation and relay selection are completed by Kuhn– Munkres algorithm, and the offline power allocation of D2D users is realized by reinforcement learning. Next, the offline optimization results are taken as the training data set to train the neural network, and the optimal model of the transmission power is obtained. Considering the transmission power constraint, the online power allocation optimization algorithm is further proposed. Numerical results demonstrate the accuracy of derived outage probability, and the proposed resource allocation algorithm can improve the performance of hybrid system. Keywords D2D communication Energy harvesting Resource allocation Reinforcement learning Artificial network
1 Introduction Device-to-device (D2D) communications can establish direct communication links between adjacent users without passing through base station (BS) or other core networks [1]. It can reduce traffic loads of the BS, the transmission power of D2D users, and the end-to-end transmission delay. More users can access networks by adopting underlaying D2D communication, which can improve the spectrum efficiency and capacity of the overall network [2].
& Qi Zhu [email protected] Na Su [email protected] 1
Jiansu Key Laboratory of Wireless Communications, Nanjing University of Posts and Telecommunications, 66 Xinmofan Road, Gulou Strict, Nanjing 210003, China
2
Engineering Research Center of Health Service System Based on Ubiquitous Wireless Networks, Nanjing University of Posts and Telecommunications, Ministry of Education, Nanjing, China
However, underlaying D2D communication will generate mutual interference between D2D users and cellular users. Therefore, reasonable resource allocation is essential in the heterogeneous network where cellular communication and D2D communication coexist. The centralized and distributed power control algorithms are proposed in [3] to maximize the signal-to-interference-plus-noise ratio (SINR) of cellular users while guaranteeing the quality of service (QoS) of D2D users. In order to maximize the energy efficiency (EE) of D2D users, the transmission power and the channel allocation are optimized in [4] by Lambert function and Gale–Shapley algorithm, respectively. In [5], the D2D users’ tr
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