LTE-U与Wi-Fi系统有效共存的议价博弈

A. Bairagi, Nguyen H. Tran, W. Saad, C. Hong
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引用次数: 19

摘要

LTE over unlicensed band (LTE- u)已成为克服频谱稀缺挑战的有效技术。使用LTE-U和载波聚合(CA)等先进技术,可以提高现有蜂窝网络的性能。然而,如果管理不当,LTE-U的使用可能会降低共存的Wi-Fi接入点的性能,这些接入点在未经许可的频段上运行。此外,现有的大多数工作都考虑了宏基站(MBS)或小蜂窝基站(SBS)的方案。本文研究了LTE-U与Wi-Fi系统的有效共存机制。目标是使蜂窝网络能够使用LTE-U和CA来满足用户的服务质量(QoS),同时保护Wi-Fi接入点(wap),在密集部署场景中考虑来自不同运营商的多个SBSs。具体而言,在用户QoS和WAP-LTE-U共存约束下,提出了LTE-U和速率最大化问题。为了解决这一问题,提出了一种合作纳什议价对策。这个游戏允许LTE-U和wap共享时间资源,同时保护Wi-Fi系统。针对LTE-U用户间的非授权资源分配问题,提出了一种启发式算法。仿真结果表明,该方法在用户均达率、不满意用户百分比和公平性方面均优于比较方法。结果还表明,该方法对Wi-Fi用户的保护效果远远优于基本的先听后讲(LBT)。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Bargaining game for effective coexistence between LTE-U and Wi-Fi systems
LTE over unlicensed band (LTE-U) has emerged as an effective technique to overcome the challenge of spectrum scarcity. Using LTE-U along with advanced techniques such as carrier aggregation (CA), one can boost the performance of existing cellular networks. However, if not properly managed, the use of LTE-U can potentially degrade the performance of co­existing Wi-Fi access points which operate over the unlicensed frequency bands. Moreover, most of the existing works consider a macro base station (MBS) or a small cell base station (SBS) for their proposals. In this paper, an effective coexistence mechanism between LTE-U and Wi-Fi systems is studied. The goal is to enable the cellular network to use LTE-U with CA to meet the quality-of-service (QoS) of the users while protecting Wi-Fi access points (WAPs), considering multiple SBSs from different operators in a dense deployment scenario. Specifically, an LTE-U sum-rate maximization problem is formulated under a user QoS and WAP-LTE-U co-existence constraints. To solve this problem, a cooperative Nash bargaining game is proposed. This game allows LTE-U and WAPs to share time resource while protecting Wi-Fi system. For allocating unlicensed resource among LTE-U users, a heuristic algorithm is proposed. Simulation results show that the proposed method is better than the comparing methods regarding per user achieved rate, percentage of unsatisfied users and fairness. The result also shows that the proposed method protects Wi-Fi user far better way than basic listen-before-talk (LBT) does.
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