{"title":"An analytical framework for cooperative cognitive radio network for spectrum leasing/sharing","authors":"Bhasker Dappuri , Madhu Babu Sikha , T.G. Venkatesh , Pamarthi Uma Sindhu","doi":"10.1016/j.phycom.2024.102464","DOIUrl":null,"url":null,"abstract":"<div><p>In Cognitive Radio Network (CRN), secondary users (SUs) opportunistically access the channel licensed by the Primary User (PU). Recently there has been growing interest in cooperative cognitive communication, spectrum leasing, and spectrum sharing techniques. These techniques have potential to substantially improve the system utilization of CRN as a whole. In this paper, we develop an elaborate and accurate queueing model for the cooperative channel access mechanisms in CRN. Using the proposed model we derive the queue length distribution of PU, as well as SU and the mean sojourn time of PU, as well as SU. We study the effect of mean arrival time of PU, mean arrival and service time of SU on the derived performance metrics. Through extensive simulation we validate the analytical model. Our analysis brings out the trade-off between the throughput of SU and transmission delay of the PU. Our results offer insight to the design engineer to optimally fix the system parameters of the CRN.</p></div>","PeriodicalId":48707,"journal":{"name":"Physical Communication","volume":"66 ","pages":"Article 102464"},"PeriodicalIF":2.0000,"publicationDate":"2024-08-06","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/S1874490724001824","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
In Cognitive Radio Network (CRN), secondary users (SUs) opportunistically access the channel licensed by the Primary User (PU). Recently there has been growing interest in cooperative cognitive communication, spectrum leasing, and spectrum sharing techniques. These techniques have potential to substantially improve the system utilization of CRN as a whole. In this paper, we develop an elaborate and accurate queueing model for the cooperative channel access mechanisms in CRN. Using the proposed model we derive the queue length distribution of PU, as well as SU and the mean sojourn time of PU, as well as SU. We study the effect of mean arrival time of PU, mean arrival and service time of SU on the derived performance metrics. Through extensive simulation we validate the analytical model. Our analysis brings out the trade-off between the throughput of SU and transmission delay of the PU. Our results offer insight to the design engineer to optimally fix the system parameters of the CRN.
在认知无线电网络(CRN)中,辅助用户(SU)会择机访问主用户(PU)许可的信道。最近,人们对合作认知通信、频谱租赁和频谱共享技术的兴趣与日俱增。这些技术有可能大大提高整个 CRN 的系统利用率。在本文中,我们为 CRN 中的合作信道接入机制开发了一个详细而精确的排队模型。利用提出的模型,我们得出了 PU 和 SU 的队列长度分布,以及 PU 和 SU 的平均停留时间。我们研究了 PU 平均到达时间、SU 平均到达时间和服务时间对推导出的性能指标的影响。通过大量仿真,我们验证了分析模型。我们的分析揭示了 SU 吞吐量与 PU 传输延迟之间的权衡。我们的分析结果为设计工程师提供了洞察力,使其能够以最佳方式确定 CRN 的系统参数。
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.