认知无线电网络组播路由算法和协议综述

Multicast routing in cognitive radio networks: algorithms and protocols

认知无线电网络(CRN)在实现更好的无线带宽利用率和提高无线应用质量方面发挥着至关重要的作用。由于认知用户可用频谱机会的动态特性,认知无线电网络中的组播是一个具有挑战性的问题。研究者们已经提出了多种在认知无线电网络中进行有效组播的方案,包括基于优化理论、网络编码、机器学习、博弈论的方案等。总结了解决组播问题有效的算法和技术,并对已有的无线电网络中的组播协议进行了全面的综述,最后给出了未来的研究方向。

Cognitive Radio Network （CRN） plays a critical role in achieving better wireless bandwidth utilization and improving the quality of wireless applications. Muhicasting in CRN is a challenging problem due to the dynamic nature of spectrum opportunities available to the secondary users. Researchers have proposed a variety of schemes for efficient multicast in cognitive radio networks, including schemes based on optimization theory, network coding, machine learning, and game theory. The algorithms and techniques for solving the muhicast problem effectively were summarized, and a comprehensive survey of protocols was given. Finally, future research directions were identified.