认知无线电网络的智能传感动态频谱管理

IF 2.4 Q3 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS Frontiers in Computer Science Pub Date : 2023-12-19 DOI:10.3389/fcomp.2023.1271899
Muhammad Fraz, M. Muslam, Mudassar Hussain, Rashid Amin, Jiang Xie
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引用次数: 0

摘要

认知无线电网络(CRN)开创了无线通信的变革时代,重塑了无线电频谱利用和管理的格局。认知无线电网络的核心是动态感知无线电频谱和调整传输参数的关键能力,以预先解决干扰和优化频谱利用。本文探讨了 CRN 中与服务质量(QoS)管理相关的不断升级的挑战,这些挑战因 CRN 的动态性质而加剧,尤其是在以高流动性为特征的场景中。同时,鉴于能源效率对网络运营成本和可持续性的直接影响,文章强调了能源效率的重要意义。为了有效驾驭客户关系网络中服务质量和能源管理之间错综复杂的相互作用,我们提出了智能传感动态频谱管理方案(SSDSM)。在 SSDSM 框架内,认知用户的能量经过智能感知,而 QoS 则通过动态频谱管理进行管理。建议的方案通过完善基于模糊的控制器来优化服务响应时间,并通过预定义规则触发的定期感测来减少能耗。在集中式模式下,整个网络由一个中央控制节点监管,其任务是利用 SSDSM 方案制定最佳信道列表,并将其分配给认知用户。通过使用 MATLAB 进行严格测试,评估和验证了拟议方案的功效。结果显示,系统效率有了明显提高,包括吞吐量最大化、切换率降低和服务响应延迟最小化。这项研究有助于推动认知无线电网络性能指标的持续讨论,以追求可靠和可持续的无线通信服务。
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Smart sensing enabled dynamic spectrum management for cognitive radio networks
Cognitive Radio Networks (CRNs) have ushered in a transformative era in wireless communication, reshaping the landscape of radio spectrum utilization and management. At the core of CRNs lies the pivotal capability to sense the radio frequency spectrum dynamically and adapt transmission parameters to preemptively address interference and optimize spectrum utilization. This article addresses the escalating challenges associated with Quality of Service (QoS) management in CRNs, exacerbated by their dynamic nature, especially in scenarios characterized by high mobility. Concurrently, the article underscores the critical significance of energy efficiency, given its direct implications on network operational costs and sustainability. To effectively navigate the intricate interplay between QoS and energy management in CRNs, we propose a Smart Sensing Enabled Dynamic Spectrum Management scheme (SSDSM). Within the SSDSM framework, cognitive user energy undergoes intelligent sensing, while QoS is governed through dynamic spectrum management. The proposed scheme optimizes service response time by refining fuzzy-based controllers and curtails energy consumption through periodic sensing triggered by predefined rules. Operationalizing within a centralized paradigm, the entire network is overseen by a central controlling node, tasked with formulating an optimal channel list using the SSDSM scheme and allocating it to cognitive users. The efficacy of the proposed scheme is evaluated and validated through rigorous testing using MATLAB. Results reveal tangible enhancements in system efficiency, encompassing maximized throughput, reduced handoff ratio, and minimized service response delay. This research contributes to the ongoing discourse on advancing the performance metrics of cognitive radio networks in the pursuit of reliable and sustainable wireless communication services.
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来源期刊
Frontiers in Computer Science
Frontiers in Computer Science COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS-
CiteScore
4.30
自引率
0.00%
发文量
152
审稿时长
13 weeks
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