Optimizing Spectral Efficiency: An SNV Scheme for IoT-Enabled CF mMIMO Networks

IF 6.7 2区计算机科学 Q1 ENGINEERING, MULTIDISCIPLINARY

IEEE Transactions on Network Science and Engineering Pub Date : 2024-11-21 DOI:10.1109/TNSE.2024.3503666

Ayesha Siddiqa;Junho Seo;Malik Muhammad Saad;Dongkyun Kim

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引用次数: 0

Abstract

Future wireless networks are expected to achieve uniform quality of service (QoS) and seamless connectivity across vast coverage areas. Cell-free (CF) massive multiple-input, multiple-output (mMIMO) networks emerge as a promising solution to achieve these goals by minimizing signal interference and enhancing network performance. However, the existing research contributions in CF mMIMO networks face significant challenges related to signal overhead, network load, and computation complexity on the fronthaul, resulting in unscalability. Considering these limitations, we propose a novel space division multiple access (SDMA)-based network virtualization (SNV) scheme to maximize the uplink/downlink spectral efficiency in the Internet of Things (IoT)-enabled CF mMIMO networks. Our system architecture leverages multiple IoT-enabled wireless access points (APs) equipped with various antennas, establishing independent communication links to serve user equipment (UEs) simultaneously. The integration of stream-based encoding and minimum mean square error estimation enables UEs to receive accurate data, improve channel capacity, and minimize the computation complexity on fronthaul. Our extensive simulation results demonstrate that the proposed scheme significantly outperforms current state-of-the-art schemes while ensuring scalability for CF mMIMO networks.

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优化频谱效率：支持物联网的CF mMIMO网络的SNV方案

未来的无线网络有望在广阔的覆盖范围内实现统一的服务质量（QoS）和无缝连接。无蜂窝（CF）大规模多输入多输出（mMIMO）网络通过减少信号干扰和提高网络性能，成为实现这些目标的有希望的解决方案。然而，CF mMIMO网络的现有研究成果面临着信号开销、网络负载和前传计算复杂性等方面的重大挑战，导致不可扩展性。考虑到这些限制，我们提出了一种新的基于空分多址（SDMA）的网络虚拟化（SNV）方案，以最大限度地提高支持物联网（IoT）的CF mMIMO网络的上行/下行频谱效率。我们的系统架构利用配备各种天线的多个支持物联网的无线接入点（ap），建立独立的通信链路，同时为用户设备（ue）提供服务。基于流的编码和最小均方误差估计的集成使终端能够接收准确的数据，提高信道容量，并最大限度地减少前传的计算复杂度。我们广泛的仿真结果表明，所提出的方案显着优于当前最先进的方案，同时确保CF mMIMO网络的可扩展性。

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 Transactions on Network Science and Engineering Engineering-Control and Systems Engineering

CiteScore

12.60

自引率

9.10%

发文量

393

期刊介绍： The proposed journal, called the IEEE Transactions on Network Science and Engineering (TNSE), is committed to timely publishing of peer-reviewed technical articles that deal with the theory and applications of network science and the interconnections among the elements in a system that form a network. In particular, the IEEE Transactions on Network Science and Engineering publishes articles on understanding, prediction, and control of structures and behaviors of networks at the fundamental level. The types of networks covered include physical or engineered networks, information networks, biological networks, semantic networks, economic networks, social networks, and ecological networks. Aimed at discovering common principles that govern network structures, network functionalities and behaviors of networks, the journal seeks articles on understanding, prediction, and control of structures and behaviors of networks. Another trans-disciplinary focus of the IEEE Transactions on Network Science and Engineering is the interactions between and co-evolution of different genres of networks.