LTE-U系统和Wi-Fi接入点在非授权频谱中有效共存的多博弈方法

A. Bairagi, Nguyen H. Tran, C. Hong
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引用次数: 14

摘要

蜂窝网络正面临着用有限的授权频谱来满足大量数据需求的挑战,而LTE在非授权频段(LTE- u)上的应用已经成为克服这一障碍的有效方法。使用LTE-U以及载波聚合(CA)等高级技术,可以提高现有蜂窝网络的性能。然而,如果管理不善,LTE-U可能会降低在未经许可的频段上运行的共存Wi-Fi系统的性能。此外,在现有的共存工作中,大多数都考虑了单操作员场景。本文研究了LTE-U和Wi-Fi系统之间的有效共存机制。目标是促进蜂窝网络使用LTE-U和CA,在保护Wi-Fi用户的同时,考虑到多个运营商在密集部署场景下的情况,减少用户的实现速率和服务质量(QoS)之间的差距。为了解决这个问题,我们使用了多游戏方法。在LTE-U和Wi-Fi系统中,采用合作纳什博弈(cooperative Nash bargaining game, NBG)进行无授权的时间资源共享。接下来,运营商使用破产游戏在LTE-U用户之间分配未经许可的资源。仿真结果表明,该方法在用户平均使用率和公平性方面都优于比较方法。在密集部署中,该技术比基本的先听后讲(LBT)技术更能保护Wi-Fi用户。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A multi-game approach for effective co-existence in unlicensed spectrum between LTE-U system and Wi-Fi access point
Cellular networks are facing the challenge of meeting aggressive data demand with limited licensed spectrum and LTE over the unlicensed band (LTE-U) has emerged as an effective way to defeat this hurdle. Using LTE-U along with superior techniques such as carrier aggregation (CA), one can boost the performance of existing cellular networks. Nevertheless, LTE-U can potentially deteriorate the performance of co-existing Wi-Fi systems operating over the unlicensed bands if not well-managed. Furthermore, single operator scenario is considered in most of the existing co-existence works. In this paper, an effective coexistence mechanism between LTE-U and Wi-Fi systems is investigated. The object is to facilitate the cellular networks to use LTE-U with CA to reduce the gap between achieved rate and quality-of-service (QoS) of the user while protecting Wi-Fi users, considering multiple operators in a dense deployment scenario. To resolve this problem, a multi-gaming approach is used. A cooperative Nash bargaining game (NBG) is used for sharing time resource in unlicensed for LTE-U and Wi-Fi systems. Following, a bankruptcy game is used by operators to allocate unlicensed resource among LTE-U users. Simulation results show that the proposed approach is better than the comparing methods regarding per user achieved rate, and fairness. It also shows that the proposed technique defends Wi-Fi user greatly in dense deployment than basic listen-before-talk (LBT) does.
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