State of the Art Analysis of Resource Allocation Techniques in 5G MIMO Networks

被引：2

作者：

Bouras, Christos ^{[1
]}

Caragiannis, Ioannis ^{[2
]}

Gkamas, Apostolos ^{[3
]}

Protopapas, Nicos ^{[1
]}

Sardelis, Tasos ^{[4
]}

Sgarbas, Kyriakos ^{[4
]}

机构：

[1] Univ Patras, Comp Engn & Informat Dept, Patras, Greece

[2] Aarhus Univ Aarhus, Dept Comp Sci, Aarhus, Denmark

[3] Univ Ecclesiast, Acad Vella, Ioannina, Greece

[4] Univ Patras, Dept Elect & Comp Engn, Patras, Greece

来源：

2023 INTERNATIONAL CONFERENCE ON INFORMATION NETWORKING, ICOIN | 2023年

关键词：

5G; MIMO; DUDe; Machine Learning; Game Theory; Resource Allocation; HETEROGENEOUS NETWORKS; POWER ALLOCATION; USER ASSOCIATION; GAME-THEORY; LTE; MANAGEMENT; SYSTEMS;

D O I：

10.1109/ICOIN56518.2023.10049018

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

The industry is shifting from 4G to 5G, which promises a tenfold increase in data throughput. However, 5G is about much more than simply higher bandwidth. 5G is basically a re-architecture of network infrastructure that incorporates a number of significant technology advancements. One important aspect of 5G networks is the Resource Allocation (RA), where many promising technologies are implemented, like Multi-User Multiple-Input Multiple-Output (MU-MIMO) and Downlink and Uplink Decoupling (DUDe) and many new technologies like Machine Learning (ML) and Game Theory (GT) must be investigated. This paper presents state of art research for RA using MU-MIMO, DUDe, ML and GT. The above will be the base for proposing guidance for effective RA algorithm design and implementation for 5G and beyond networks.

引用

页码：632 / 637

页数：6

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