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Optimal Mode Selection With Uplink Data Rate Maximization for D2D-Aided Underlaying Cellular Networks

Sun, Jian (Beijing Engineering and Technology Center for Convergence Networks and Ubiquitous Services, School of Computer and Communication Engineering, University of Science and Technology Beijing, Beijing, China ) ; Liu, Tong (Department of Information and Communication Engineering, Harbin Engineering University, Harbin, China ) ; Wang, Xianxian (Beijing Engineering and Technology Center for Convergence Networks and Ubiquitous Services, School of Computer and Communication Engineering, University of Science and Technology Beijing, Beijing, China ) ; Xing, Chengwen (School of Information and Electronics, Beijing Institute of Technology, Beijing, China ) ; Xiao, Hailin (Key Laboratory of Cognitive Radio and Information Processing, Ministry of Education, Guilin University of Electronic Technology, Guilin, China ) ; Vasilakos, Athanasios V. (Department of Computer Science, Electrical and Space Engineering, Luleå ) ; Zhang, Zhongshan (University of Technology, Skellefteå, Sweden ) ;
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    The device-to-device (D2D) communication has been regarded as an effective technique for complementing and enhancing the conventional cellular systems owing to its capability of substantially improving both the spectral and power efficiencies of wireless networks. However, the severe interference imposed on the conventional cellular users (CUs) by the geographically close-by D2D pairs may cause a significant performance erosion in the D2D-aided underlaying cellular networks (CNs). In this paper, performance analysis for the D2D-aided underlaying CNs in terms of throughput is provided. We first derive the closed-form expressions of the coverage probability for both the conventional cellular links and the D2D links, followed by giving out the approximated expressions of the ergodic data rate for both an individual cellular/D2D link and the whole underlaying network. Furthermore, the key parameters (e.g., the density of D2D users (DUs) or CUs, and the average geographical distance between a pair of D2D peers) significantly impacting the channel capacity are adaptively adjusted for maximizing the sum data rate of the proposed underlaying networks. In addition, both theoretical analysis and simulation results reveal the attainability of the maximal throughput by optimizing the critical parameters, such as the density of DUs, provided that the scale factor between the DUs and sum users (i.e., comprising both conventional CUs and DUs) can be effectively balanced subject to the constraints specified in the proposed scheme.


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