Multi-Objective Optimization in 5G Wireless Networks With Massive MIMO

被引：26
作者：
Goudos, Sotirios K. [1 ]
Diamantoulakis, Panagiotis D. [2 ]
Karagiannidis, George K. [2 ]
机构：
[1] Aristotle Univ Thessaloniki, Dept Phys, Thessaloniki 54124, Greece
[2] Aristotle Univ Thessaloniki, Dept Elect & Comp Engn, Thessaloniki 54124, Greece
来源：
IEEE COMMUNICATIONS LETTERS | 2018年 / 22卷 / 11期
关键词：
5C; cellular network; MIMO communications; energy efficiency; optimization techniques;
D O I：
10.1109/LCOMM.2018.2868663
中图分类号：
TN [电子技术、通信技术];
学科分类号：
0809 ;
摘要：
The integration of massive multiple-input multiple-output systems in the fifth generation (5G) of wireless networks requires the simultaneous consideration of several conflicting objectives, in order to achieve optimal performance and operation. In this letter, we present a complete optimization framework, which is based on multi-objective evolutionary algorithms (MOEAs), namely, non-dominated sorting genetic algorithm-II and speed-constrained multi-objective particle swarm optimization. In addition, we use a decision maker for the selection of a solution vector that achieves the best compromise solution. The results illustrate that MOEAs are particularly promising techniques for solving such multi-objective problems in 5G networks.
引用
收藏
页码：2346 / 2349
页数：4
相关论文
共 50 条
  • [41] A Potential Architecture and Next Generation Technologies for 5G Wireless Networks
    Aydemir, Murat
    Cengiz, Korhan
    2016 24TH SIGNAL PROCESSING AND COMMUNICATION APPLICATION CONFERENCE (SIU), 2016, : 277 - 280
  • [42] Green and Highly Efficient MIMO Transceiver System for 5G Heterogenous Networks
    Al-Yasir, Yasir I. A.
    Abdulkhaleq, Ahmed M.
    Parchin, Naser Ojaroudi
    Elfergani, Issa T.
    Rodriguez, Jonathan
    Noras, James M.
    Abd-Alhameed, Raed A.
    Rayit, Ashwain
    Qahwaji, Rami
    IEEE TRANSACTIONS ON GREEN COMMUNICATIONS AND NETWORKING, 2022, 6 (01): : 500 - 511
  • [43] Multi-objective Optimization of Optimal Placement and Sizing of Distributed Generators in Distribution Networks
    Alajmi, Bader N.
    AlHajri, M. F.
    Ahmed, Nabil A.
    Abdelsalam, Ibrahim
    Marei, Mostafa I.
    IEEJ TRANSACTIONS ON ELECTRICAL AND ELECTRONIC ENGINEERING, 2023, 18 (06) : 817 - 833
  • [44] Multi-Connectivity for 5G Networks and Beyond: A Survey
    Sylla, Tidiane
    Mendiboure, Leo
    Maaloul, Sassi
    Aniss, Hasnaa
    Chalouf, Mohamed Aymen
    Delbruel, Stephane
    SENSORS, 2022, 22 (19)
  • [45] MMOHRA: Mobility Aware Multi-Objective Hybrid Routing Algorithm for Wireless Sensor Networks
    Kulkarni, Nandkumar
    Prasad, Neeli Rashmi
    Prasad, Ramjee
    2014 4TH INTERNATIONAL CONFERENCE ON WIRELESS COMMUNICATIONS, VEHICULAR TECHNOLOGY, INFORMATION THEORY AND AEROSPACE & ELECTRONIC SYSTEMS (VITAE), 2014,
  • [46] Reinforcement Learning for Energy-Efficient 5G Massive MIMO: Intelligent Antenna Switching
    Hoffmann, Marcin
    Kryszkiewicz, Pawel
    IEEE ACCESS, 2021, 9 : 130329 - 130339
  • [47] Energy-Efficient Low-Complexity Algorithm in 5G Massive MIMO Systems
    Salh, Adeeb
    Audah, Lukman
    Abdullah, Qazwan
    Shah, Nor Shahida M.
    Hamzah, Shipun A.
    Nordin, Shahilah
    Farah, Nabil
    CMC-COMPUTERS MATERIALS & CONTINUA, 2021, 67 (03): : 3189 - 3214
  • [48] Spectral and energy efficiency trade-off in massive MIMO systems using multi-objective bat algorithm
    Gul, Burak Kursat
    Taspinar, Necmi
    JOURNAL OF ELECTRICAL ENGINEERING-ELEKTROTECHNICKY CASOPIS, 2022, 73 (02): : 132 - 139
  • [49] Enabling energy-efficient and lossy-aware data compression in wireless sensor networks by multi-objective evolutionary optimization
    Marcelloni, Francesco
    Vecchio, Massimo
    INFORMATION SCIENCES, 2010, 180 (10) : 1924 - 1941
  • [50] Delay-Aware Resource Allocation for 5G Wireless Networks With Wireless Power Transfer
    Sinaie, Mahnaz
    Lin, Pin-Hsun
    Zappone, Alessio
    Azmi, Paeiz
    Jorswieck, Eduard A.
    IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY, 2018, 67 (07) : 5841 - 5855
12345