Large-Scale Dynamic Spectrum Access with IEEE 1900.5.2 Spectrum Consumption Models
Large-Scale Dynamic Spectrum Access with IEEE 1900.5.2 Spectrum Consumption Models
复制标题
DOI：
10.1109/wcnc55385.2023.10118670
复制
发表时间：
2023-03
期刊：
影响因子：
--
通讯作者：
P. Netalkar;Azhaan Zahabee;C. E. C. Bastidas-C.-E.-C.-Bastidas-1890450;I. Kadota;Dragoslav Stojadinovic;G. Zussman;I. Seskar
中科院分区：
文献类型：
--
作者：
P. Netalkar;Azhaan Zahabee;C. E. C. Bastidas-C.-E.-C.-Bastidas-1890450;I. Kadota;Dragoslav Stojadinovic;G. Zussman;I. Seskar
包括增强现实、物联网和智能城市在内的下一代无线服务和应用将越来越依赖于能够快速有效地管理频谱资源的动态频谱接入（DSA）方法。监管政策、标准化、网络和无线技术的进步正在使DSA方法在时间、频率和地理位置方面更加精细，这是5G和5G以上网络运行的关键。在这种情况下，本文提出了一种新的DSA算法，该算法利用IEEE 1900.5.2频谱消耗模型（SCM），该模型为RF设备提供了一种机制：（i）“宣布”或“声明”他们使用频谱的意图以及他们在干扰保护方面的需求;以及（ii）确定兼容性（即，不影响现有设备。在本文中，我们开发了一种基于SCM的DSA算法，在大规模的无线网络环境中的频谱去冲突，并评估该算法的计算时间，频谱分配的效率，和设备重新配置的数量，由于干扰使用自定义的仿真平台。结果表明，使用SCM的好处和他们的能力，在动态和密集的通信环境中执行细粒度的频谱分配。
Next generation wireless services and applications, including Augmented Reality, Internet-of-Things, and Smart-Cities, will increasingly rely on Dynamic Spectrum Access (DSA) methods that can manage spectrum resources rapidly and efficiently. Advances in regulatory policies, standardization, networking, and wireless technology are enabling DSA methods on a more granular basis in terms of time, frequency, and geographical location which are key for the operation of 5G and beyond-5G networks. In this context, this paper proposes a novel DSA algorithm that leverages IEEE 1900.5.2 Spectrum Consumption Models (SCMs) which offer a mechanism for RF devices to: (i) "announce" or "declare" their intention to use the spectrum and their needs in terms of interference protection; and (ii) determine compatibility (i.e., non-interference) with existing devices. In this paper, we develop an SCM-based DSA algorithm for spectrum deconfliction in large-scale wireless network environments and evaluate this algorithm in terms of computation time, efficiency of spectrum allocation, and number of device reconfigurations due to interference using a custom simulation platform. The results demonstrate the benefits of using SCMs and their capabilities to perform fine grained spectrum assignments in dynamic and dense communication environments.