Affiliations: [a] Guangzhou Power Supply Bureau, Guangdong Power Grid Co., Ltd., Guangzhou, China
| [b] School of Automation, Wuhan University of Technology, Wuhan, China
| [c] School of Energy and Power Engineering, Wuhan University of Technology, Wuhan, China
Correspondence:
[*]
Corresponding author. School of Energy and Power Engineering, Wuhan University of Technology, Wuhan, China. E-mail: ruolitang@hotmail.com.
Abstract: Due to the increasingly demand of wireless broadband applications in modern society, the device-to-device (D2D) communication technique plays an important role for improving communication spectrum efficiency and quality of service (QoS). This study focuses on the optimal allocation of link resource in D2D communication systems using intelligent approaches, in order to obtain optimal energy efficiency of D2D-pair users (DP) and also ensure communication QoS. To be specific, the optimal resource allocation (ORA) model for ensuring the cooperation between DP and cellular users (CU) is established, and a novel coding strategy of ORA model is also proposed. Then, for efficiently optimizing the ORA model, a novel swarm-intelligence-based algorithm called the dynamic topology coevolving differential evolution (DTC-DE) is developed, and the efficiency of DTC-DE is also tested by a comprehensive set of benchmark functions. Finally, the DTC-DE algorithm is employed for optimizing the proposed ORA model, and some state-of-the-art algorithms are also employed for comparison. Result of case study shows that the DTC-DE outperforms its competitors significantly, and the optimal resource allocation can be obtained by DTC-DE with robust performance.
Keywords: Device-to-device communication, intelligent communication system, communication resource allocation, differential evolution, swarm intelligence
