以用户为中心的异构UDN中基站的负载分布

IF 3.1 3区 计算机科学 Q2 TELECOMMUNICATIONS China Communications Pub Date : 2023-09-01 DOI:10.23919/JCC.ea.2021-0751.202302
Xuanli Wu, Xu Chen, Ziyi Xie, Wei Wu, Tianzhu Pan, Yong Li
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引用次数: 0

摘要

在超密集网络(UDN)中,多重关联可以看作是一个用户可以由多个基站服务的以用户为中心的模式。可以提高数据速率和服务质量。然而,由于这种多重关联模式,以用户为中心的BSs需要服务更多的用户。系统性能的提高可能会受到BSs负载提高的限制。在这封信中,我们开发了一个分析框架,用于异构用户中心UDN中BSs的负载分布。在开环功率控制(OLPC)的基础上,考虑了一种以用户为中心的方案,该方案使集群服务的BSs能够为任意典型用户提供给定的信噪比。对于任意一个不同层的基站,我们利用随机几何推导出了服务用户数的概率质量函数(PMF)、总功耗的累积分布函数(CDF)和下行总数据速率的CDF边界。通过数值仿真验证了理论分析的准确性,并给出了系统参数对BSs负载的影响。
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Load distribution of base stations in user-centric heterogeneous UDN
In ultra-dense networks (UDN), multiple association can be regarded as a user-centric pattern in which a user can be served by multiple base stations (BSs). The data rate and quality of service can be improved. However, BSs in user-centric paradigm are required to serve more users due to this multiple association scheme. The improvement of system performance may be limited by the improving load of BSs. In this letter, we develope an analytical framework for the load distribution of BSs in heterogeneous user-centric UDN. Based on open loop power control (OLPC), a user-centric scheme is considered in which the clustered serving BSs can provide given signal to interference plus noise ratio (SINR) for any typical user. As for any BS in different tiers, by leveraging stochastic geometry, we derive the Probability Mass Function (PMF) of the number of the served users, the Cumulative Distribution Function (CDF) of total power consumption, and the CDF bounds of downlink sum data rate. The accuracy of the theoretical analysis is validated by numerical simulations, and the effect the system parameters on the load of BSs is also presented.
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来源期刊
China Communications
China Communications 工程技术-电信学
CiteScore
8.00
自引率
12.20%
发文量
2868
审稿时长
8.6 months
期刊介绍: China Communications (ISSN 1673-5447) is an English-language monthly journal cosponsored by the China Institute of Communications (CIC) and IEEE Communications Society (IEEE ComSoc). It is aimed at readers in industry, universities, research and development organizations, and government agencies in the field of Information and Communications Technologies (ICTs) worldwide. The journal's main objective is to promote academic exchange in the ICTs sector and publish high-quality papers to contribute to the global ICTs industry. It provides instant access to the latest articles and papers, presenting leading-edge research achievements, tutorial overviews, and descriptions of significant practical applications of technology. China Communications has been indexed in SCIE (Science Citation Index-Expanded) since January 2007. Additionally, all articles have been available in the IEEE Xplore digital library since January 2013.
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