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Intelligent Spectrum Assignment Based on Dynamical Cooperation for 5G-Satellite Integrated Networks
IEEE Transactions on Cognitive Communications and Networking ( IF 7.4 ) Pub Date : 2020-06-01 , DOI: 10.1109/tccn.2020.2988480
Feilong Tang , Long Chen , Xu Li , Laurence T. Yang , Luoyi Fu

The development of 5G-satellite integrated networks suffers from limited spectrum resources. In this paper, we investigate how to assign spectrum intelligently based on dynamical cooperation among primary users (PUs) and cognitive users (CUs) for 5G-satellite integrated networks. Firstly, we propose the cooperative transmission ability model. The effective time for users to communicate with satellites is formally measured. Based on this model, then, we formulate the intelligent spectrum assignment problem. Next, we propose the spectrum assignment mechanism PU4CU to maximize the throughput of CUs, including our random-based and greedy-based algorithms. Finally, we propose the stable matching-based cooperative spectrum assignment algorithm with the aim of maximizing the overall throughput, where CUs not only request spectrum from PUs but also transmit a part of the traffic of PUs. Extensive simulation results demonstrate that our three algorithms significantly improve spectrum utilization ratio and system performance.

中文翻译:

基于动态协作的5G-卫星综合网络智能频谱分配

5G-卫星综合网络的发展受到频谱资源有限的影响。在本文中,我们研究了如何基于主要用户 (PU) 和认知用户 (CU) 之间的动态合作为 5G 卫星集成网络智能分配频谱。首先,我们提出了合作传输能力模型。正式测量用户与卫星通信的有效时间。然后,基于该模型,我们制定了智能频谱分配问题。接下来,我们提出了频谱分配机制 PU4CU 来最大化 CU 的吞吐量,包括我们基于随机和基于贪婪的算法。最后,我们提出了基于稳定匹配的协作频谱分配算法,以最大化整体吞吐量为目标,其中,CU 不仅向 PU 请求频谱,而且还传输 PU 的部分流量。大量的仿真结果表明,我们的三种算法显着提高了频谱利用率和系统性能。
更新日期:2020-06-01
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