提高有墙室内合作 NOMA 毫米波网络中典型用户的性能

S. Lam, Xuan Nam Tran
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引用次数: 0

摘要

简介:超越 5G 的毫米波蜂窝网络系统有望在室内区域提供高质量服务。目标:由于障碍物密度高,因此需要采用合作通信技术,通过寻找多个合适的站点为用户提供服务,从而提高用户所需的信号功率。方法:传统系统利用可重构智能表面(RIS)和中继器等额外设备来实现合作功能,而本文则引入了一种新的网络范例,利用离典型用户最近的第二个基站(BS)作为解码和转发(DF)中继器。因此,典型用户可以在有中继协助或无中继协助的情况下工作,这取决于用户服务的第二最近基站能否成功解码信息。在有中继协助的情况下,典型用户利用最大比率组合技术来组合所需的信号。结果:为了检验拟议系统的性能,我们采用了 Nakagami-m 模型和新开发的路径损耗模型(该模型考虑了墙体密度及其特性)来推导有中继协助和无中继协助时用户的覆盖概率。通过高斯正交和韦尔奇-萨特斯韦特近似法得出了这一性能指标的闭式表达式。
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Improving Performance of the Typical User in the Indoor Cooperative NOMA Millimeter Wave Networks with Presence of Walls
INTRODUCTION: The beyond 5G millimeter wave cellular network system is expecting to provide the high quality of service in indoor areas. OBJECTIVES: Due to the high density of obstacles, the cooperative communication technique is employed to improve the user's desired signal power by finding more than one appropriate station to serve that user. METHODS: While the conventional system utilizes additional equipment such as Reconfigurable Intelligent Surfaces (RIS) and relays to enable the cooperative features, the paper introduces a new network paradigm that utilizes the second nearest Base Station (BS) of the typical user as the Decode and Forward (DF) relay. Thus, depends on the success of decoding the message from the user' serving BS of the second nearest BS, the typical user can work with and without assistance from the relay whose operation follows the discipline of the power-domain NOMA technique. In the case of with relay assistance, the Maximum Ratio Combining technique is utilized by the typical user to combine the desired signals. RESULTS: To examine the performance of the proposed system, the Nakagami-m and the newly developed path loss model, which considers the density of walls and their properties, are adopted to derive the coverage probability of the user with and without relay assistance. The closed-form expressions of this performance metric are derived by Gauss quadrature and Welch-Satterthwaite approximation.
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来源期刊
CiteScore
4.00
自引率
0.00%
发文量
15
审稿时长
10 weeks
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