Hits:
Impact Factor:10.215
DOI number:10.1109/TII.2017.2789304
Affiliation of Author(s):School of ComputerScience and Information Engineering, Hefei University of Technology
Journal:IEEE Transactions on Industrial Informatics
Funded by:National Science Foundation of China under Grants 61571178, 61601192, and 61202459, Fundamental Rese
Key Words:Convex approximation, device-to-device (D2D) communications, energy consumption, green communications, resource allocation, smart city
Abstract: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.
Co-author:Hui Li,Lei Xu,Tao Jiang
First Author:Caihong Kai
Indexed by:Journal paper
Correspondence Author:Yuzhou Li
Discipline:Engineering
Document Type:J
Volume:14
Issue:4
Page Number:1542 - 1551
ISSN No.:1941-0050
Translation or Not:no
Date of Publication:2018-01-03
Included Journals:SCI、EI