SMAP: A Scalable and Distributed Architecture for Dynamic Spectrum Management
SMAP: A Scalable and Distributed Architecture for Dynamic Spectrum Management
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SMAP：用于动态频谱管理的可扩展分布式架构
DOI：
10.1109/dyspan.2018.8610416
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发表时间：
2018
期刊：
影响因子：
--
通讯作者：
D. Raychaudhuri
中科院分区：
文献类型：
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作者：
P. Karimi;W. Lehr;I. Seskar;D. Raychaudhuri
本文介绍了政策和技术的情况下，分散的架构，动态频谱管理。被称为SMAP（分布式频谱管理架构和协议）的特定系统概念旨在使无线设备和网络能够通过基于互联网的公共频谱控制平面来协调它们的频谱使用。SMAP架构支持在相同地理区域中操作的多个无线网络域之间的无线电使用和控制参数的对等交换，使得它们可以运行用于优化传输参数的分布式算法，以在遵守全局和局部策略的同时实现效率和公平性。该架构还提供了更高级别云服务的接口，包括频谱聚合器，以促进同一区域内无线域之间更广泛的合作和业务关系，或区域频谱数据库，如用于3.5 GHz创新频段的SAS（频谱接入系统）。提出的分布式频谱控制平面的设计要求进行了讨论，包括效率，可扩展性，分散的决策，支持本地政策，服务水平协议和市场机制。接下来是架构的技术概述，解释频谱控制平面的高级组织、参与实体、它们的协议语法和支持的频谱算法类型。还讨论了对当地政策和频谱市场的支持。针对以下场景给出了证明所提出的技术的技术可行性的概念验证仿真和/或实验结果：（1）通过区域频谱代理进行逻辑集中式频谱协调;（2）使用单个或多个无线电技术在共址无线域之间进行分布式协调（例如Wi-Fi和LTE）;以及（3）具有附加本地策略约束的分布式协调。最后讨论了今后的工作。
This paper presents the policy and technology case for decentralizing the architecture for dynamic spectrum management. A specific system concept called SMAP (distributed spectrum management architecture and protocol) is intended to enable wireless devices and networks to coordinate their spectrum use through an Internet-based common spectrum control plane. The SMAP architecture supports peer exchange of radio usage and control parameters between multiple wireless network domains operating in the same geographic region so that they can run distributed algorithms for optimization of transmission parameters to achieve efficiency and fairness while adhering to global and local policies. The architecture also provides interfaces to higher level cloud services including spectrum aggregators which facilitate broader cooperation and business relationships between wireless domains in the same area, or to regional spectrum databases such as the SAS (spectrum access system) being used for the 3.5 GHz innovation band. Design requirements for the proposed distributed spectrum control plane are discussed, including efficiency, scalability, decentralized decision making, support for local policy, service-level agreements and market mechanisms. This is followed by a technology outline of the architecture, explaining the high-level organization of the spectrum control plane, the participating entities, their protocol syntax and types of spectrum algorithms supported. Support for local policy and spectrum markets is also discussed. Proof-of-concept simulation and/or experimental results which demonstrate the technical feasibility of the proposed techniques are given for the following scenarios: (1) logically centralized spectrum coordination via regional spectrum brokers; (2) distributed coordination between colocated wireless domains using either single or multiple radio technologies (such as Wi-Fi and LTE); and (3) distributed coordination with additional local policy constraints. Future work is discussed in conclusion.