期刊
IEEE COMMUNICATIONS LETTERS
卷 23, 期 12, 页码 2340-2343出版社
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/LCOMM.2019.2943316
关键词
Resource management; Throughput; Device-to-device communication; Interference; Partitioning algorithms; Uplink; Games; Vehicular communications; D2D communications; resource allocation
资金
- Natural Science Foundation of China [61601300]
- Shenzhen Overseas High-level Talents Innovation and Entrepreneurship [KQJSCX20180328093835762]
- Tencent Rhinoceros Birds Scientic Research Foundation for Young Teachers of Shenzhen University
In this letter, we propose a suboptimal resource allocation scheme for the uplink vehicular communications networks. Our aim is to maximize the minimum throughput of all vehicle-to-vehicle (V2V) links under the constraints of the minimum vehicle-to-infrastructure (V2I) link throughput requirements. The optimization problem has a non-linear and non-convex objective function and we cannot obtain the optimal solutions directly. To solve this problem, we first propose a V2V partitioning method from the view point of game theory. Then, an efficient power allocation algorithm is developed to obtain the optimal power allocation solutions by exploiting the D.C. (difference of convex functions) structure of the objective function. Simulation results demonstrate the effectiveness of the proposed resource allocation algorithms.
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