{"title":"Efficient UAV deployment and resource optimization for enhanced data rates in CDRT-NOMA","authors":"Kota Nageswara Rao , Kalpana Naidu","doi":"10.1016/j.phycom.2025.102696","DOIUrl":null,"url":null,"abstract":"<div><div>This paper investigates the integration of unmanned aerial vehicle (UAV) relay-supported coordinated direct and relay transmission non-orthogonal multiple access (CDRT-NOMA) networks to enhance the offloading data rate for diverse user types. The proposed framework aims to improve connectivity for data-intensive users served by ground base stations (GBS) and edge users who lack direct GBS access due to obstacles. To achieve this, we introduce a low-complexity resource allocation algorithm for optimal power distribution at both GBS and UAV relay nodes, a heuristic-based optimization approach for UAV positioning with joint decoding strategy optimization, and a user pairing algorithm to enhance spectral efficiency while mitigating interference in CR-NOMA networks. Comprehensive performance evaluations against an exhaustive optimization benchmark demonstrate that the proposed methods significantly improve data rates and overall system efficiency, validating the effectiveness of UAV-assisted CDRT-NOMA in ensuring efficient resource utilization and seamless connectivity.</div></div>","PeriodicalId":48707,"journal":{"name":"Physical Communication","volume":"71 ","pages":"Article 102696"},"PeriodicalIF":2.0000,"publicationDate":"2025-05-01","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/S1874490725000990","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
This paper investigates the integration of unmanned aerial vehicle (UAV) relay-supported coordinated direct and relay transmission non-orthogonal multiple access (CDRT-NOMA) networks to enhance the offloading data rate for diverse user types. The proposed framework aims to improve connectivity for data-intensive users served by ground base stations (GBS) and edge users who lack direct GBS access due to obstacles. To achieve this, we introduce a low-complexity resource allocation algorithm for optimal power distribution at both GBS and UAV relay nodes, a heuristic-based optimization approach for UAV positioning with joint decoding strategy optimization, and a user pairing algorithm to enhance spectral efficiency while mitigating interference in CR-NOMA networks. Comprehensive performance evaluations against an exhaustive optimization benchmark demonstrate that the proposed methods significantly improve data rates and overall system efficiency, validating the effectiveness of UAV-assisted CDRT-NOMA in ensuring efficient resource utilization and seamless connectivity.
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.