Fine-Grained Analysis of Cache-Enabled Multiantenna Networks With Interference Nulling

IF 4 3区计算机科学 Q1 COMPUTER SCIENCE, INFORMATION SYSTEMS

IEEE Systems Journal Pub Date : 2024-08-15 DOI:10.1109/JSYST.2024.3435687

Tianming Feng;Chenyu Wu;Xiaodong Zheng;Peilin Chen;Yilong Liu;Shuai Han

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Abstract

This article provides a fine-grained performance analysis of a multiantenna cache-enabled network with interference nulling (IN) employed at base stations. Two IN schemes, namely, the fixed IN scheme and the flexible IN scheme are considered to improve the received signal-to-interference ratio (SIR) at users. To thoroughly explore the effects of the caching parameter and the IN parameters on the network performance, we focus on the analysis of not only the successful transmission probability (STP) but the link reliability distribution. First, the expression for the STP of each IN scheme is derived. Then, for the link reliability analysis of each IN scheme, an approximation for the SIR metadistribution is obtained by deriving the first and second moments of an upper bound of the link reliability and utilizing the beta distribution, and an approximated expression for the variance of link reliability is also derived. With this analytical framework, we compare the performance of these two IN schemes and gain some useful system design guidelines from the perspectives of STP and the link reliability distribution.

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利用干扰归零对支持高速缓存的多天线网络进行精细分析

本文提供了在基站中使用干扰消除（IN）的支持多天线缓存的网络的细粒度性能分析。为了提高用户接收的信干扰比，考虑了两种IN方案，即固定IN方案和灵活IN方案。为了深入探讨缓存参数和IN参数对网络性能的影响，我们不仅分析了成功传输概率（STP），还分析了链路可靠性分布。首先，推导了各IN方案的STP表达式。然后，对于各IN方案的链路可靠性分析，通过推导链路可靠性上界的第一阶矩和第二阶矩，利用beta分布得到了SIR元分布的近似表达式，并推导了链路可靠性方差的近似表达式。在此分析框架下，我们比较了这两种IN方案的性能，并从STP和链路可靠性分布的角度获得了一些有用的系统设计指南。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

IEEE Systems Journal 工程技术-电信学

CiteScore

9.80

自引率

6.80%

发文量

572

审稿时长

4.9 months

期刊介绍： This publication provides a systems-level, focused forum for application-oriented manuscripts that address complex systems and system-of-systems of national and global significance. It intends to encourage and facilitate cooperation and interaction among IEEE Societies with systems-level and systems engineering interest, and to attract non-IEEE contributors and readers from around the globe. Our IEEE Systems Council job is to address issues in new ways that are not solvable in the domains of the existing IEEE or other societies or global organizations. These problems do not fit within traditional hierarchical boundaries. For example, disaster response such as that triggered by Hurricane Katrina, tsunamis, or current volcanic eruptions is not solvable by pure engineering solutions. We need to think about changing and enlarging the paradigm to include systems issues.