Energy-Efficient Device-to-Device Communications for Green Smart Cities
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影响因子：10.215
DOI码：10.1109/TII.2017.2789304
所属单位：School of ComputerScience and Information Engineering, Hefei University of Technology
发表刊物：IEEE Transactions on Industrial Informatics
项目来源：National Science Foundation of China under Grants 61571178, 61601192, and 61202459, Fundamental Rese
关键字：Convex approximation, device-to-device (D2D) communications, energy consumption, green communications, resource allocation, smart city
摘要：To afford effective service of real-time monitoring and responses for smart cities, it is desired to provide ubiquitous network connections and high data rate services. However, the huge demands for ubiquitous high data rate wireless communications have caused a sharp increase in energy consumption and green house gas emission. In order to realize a sustainable smart city, it is critical to incorporate green communication technique into smart city developments. Device-to-device (D2D) communication has been recognized as one of the key technologies to improve data rate and reduce power consumption, which allows two physically nearby located user equipments to communicate directly with each other. In this paper, with the target of achieving green communications through D2D, we investigate the joint optimization of uplink subcarrier assignment (SA) and power allocation (PA) in D2D underlying cellular networks. Specifically, the problem formulation is to minimize the energy cost of all users in the system while guaranteeing the required data rate of both the D2D user equipments (DUEs) and cellular user equipments. Such an optimization problem is in general a mixed-integer nonlinear programming problem that is NP-hard. To make this problem tractable, we decompose it into the SA and PA subproblems. In particular, we design a heuristic algorithm to assign subcarrier by assuming that the transmit power is evenly allocated over all subcarriers. After that, we solve the PA subproblem by exploiting the difference between the concave function (D.C.) structure of the constraints and transform it into a convex optimization problem. Simulation results demonstrate the remarkable improvement in terms of power consumption by using our algorithms.
合写作者：Hui Li,Lei Xu,Tao Jiang
第一作者：Caihong Kai
论文类型：期刊论文
通讯作者：Yuzhou Li
学科门类：工学
文献类型：J
卷号：14
期号：4
页面范围：1542 - 1551
ISSN号：1941-0050
是否译文：否
发表时间：2018-01-03
收录刊物：SCI、EI