{"title":"Energy-efficient joint power control and channel allocation for D2D communication underlaying cellular network","authors":"Langlue Wei, Zheng Guan","doi":"10.1016/j.phycom.2024.102552","DOIUrl":null,"url":null,"abstract":"<div><div>The Device-to-device (D2D) communication technology can significantly improve the efficiency of wireless spectrum resources and expand the communication system’s capacity. In order to enhance the energy efficiency (EE) of D2D communication, a two-stage cross-layer optimization approach in which joint power control and channel allocation is proposed. In this work, the optimization objective is to maximize the total EE of D2D users (DUEs) to enable green D2D communications in cellular networks. The proposed resource allocation problems are NP-hard, which is typically difficult to solve directly. We decouple the EE optimization problem of joint power control and channel allocation into two sub-problems: Power Control and Channel Allocation. First, the Improved Grey Wolf Optimization (IGWO) algorithm is proposed to obtain the optimal transmission power of DUEs and Cellular users (CUEs) in the first phase. Then, the Hungarian Algorithm (HA) is utilized to accomplish optimal channel match for DUEs and CUEs in the second phase. Compared to other alternative algorithms, the simulation results show that the suggested scheme effectively improves the system’s EE.</div></div>","PeriodicalId":48707,"journal":{"name":"Physical Communication","volume":"68 ","pages":"Article 102552"},"PeriodicalIF":2.0000,"publicationDate":"2024-11-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Physical Communication","FirstCategoryId":"94","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S1874490724002702","RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"ENGINEERING, ELECTRICAL & ELECTRONIC","Score":null,"Total":0}
引用次数: 0
Abstract
The Device-to-device (D2D) communication technology can significantly improve the efficiency of wireless spectrum resources and expand the communication system’s capacity. In order to enhance the energy efficiency (EE) of D2D communication, a two-stage cross-layer optimization approach in which joint power control and channel allocation is proposed. In this work, the optimization objective is to maximize the total EE of D2D users (DUEs) to enable green D2D communications in cellular networks. The proposed resource allocation problems are NP-hard, which is typically difficult to solve directly. We decouple the EE optimization problem of joint power control and channel allocation into two sub-problems: Power Control and Channel Allocation. First, the Improved Grey Wolf Optimization (IGWO) algorithm is proposed to obtain the optimal transmission power of DUEs and Cellular users (CUEs) in the first phase. Then, the Hungarian Algorithm (HA) is utilized to accomplish optimal channel match for DUEs and CUEs in the second phase. Compared to other alternative algorithms, the simulation results show that the suggested scheme effectively improves the system’s EE.
期刊介绍:
PHYCOM: Physical Communication is an international and archival journal providing complete coverage of all topics of interest to those involved in all aspects of physical layer communications. Theoretical research contributions presenting new techniques, concepts or analyses, applied contributions reporting on experiences and experiments, and tutorials are published.
Topics of interest include but are not limited to:
Physical layer issues of Wireless Local Area Networks, WiMAX, Wireless Mesh Networks, Sensor and Ad Hoc Networks, PCS Systems; Radio access protocols and algorithms for the physical layer; Spread Spectrum Communications; Channel Modeling; Detection and Estimation; Modulation and Coding; Multiplexing and Carrier Techniques; Broadband Wireless Communications; Wireless Personal Communications; Multi-user Detection; Signal Separation and Interference rejection: Multimedia Communications over Wireless; DSP Applications to Wireless Systems; Experimental and Prototype Results; Multiple Access Techniques; Space-time Processing; Synchronization Techniques; Error Control Techniques; Cryptography; Software Radios; Tracking; Resource Allocation and Inference Management; Multi-rate and Multi-carrier Communications; Cross layer Design and Optimization; Propagation and Channel Characterization; OFDM Systems; MIMO Systems; Ultra-Wideband Communications; Cognitive Radio System Architectures; Platforms and Hardware Implementations for the Support of Cognitive, Radio Systems; Cognitive Radio Resource Management and Dynamic Spectrum Sharing.