QoS-Aware Energy-Efficient MicroBase Station Deployment for 5G-Enabled HetNets

被引:1
|
作者
Guo, Wanying [1 ]
Koo, Jahwan [2 ]
Siddiqui, Isma Farah [3 ]
Qureshi, Nawab Muhammad Faseeh [4 ]
Shin, Dong Ryeol [1 ]
机构
[1] Sungkyunkwan Univ, Dept Elect & Comp Engn, Suwon, South Korea
[2] Sungkyunkwan Univ, Coll Software, Suwon, South Korea
[3] Mehran Univ Engn & Technol, Dept Software Engn, Jamshoro, Pakistan
[4] Sungkyunkwan Univ, Dept Comp Educ, Seoul, South Korea
基金
新加坡国家研究基金会;
关键词
5G heterogeneous networks; Energy efficiency; Micro base station development; User distribution; Micro base station power; SMALL-CELL DEPLOYMENT; POWER-CONTROL; RESOURCE-ALLOCATION; ALGORITHM; NETWORKS; GREEN;
D O I
10.1016/j.jksuci.2022.11.004
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 increasing energy consumption is a legacy of the fast improvement of ICT (Information and Communication Technology). It is also contrary to the current energy conservation and emission reduction concept. There are several reasons for high energy consumption. Among them, we find that the increase in base station density of the 5G heterogeneous network (5G HetNets) is prominent. We present a micro base station deployment strategy in 5G HetNets for obtaining high energy efficiency. It optimizes target values as are trade-offs at different user distribution probabilities to improve adaptation to different user distribution scenarios. An energy deployment algorithm based on high efficiency for micro base stations is considered as jointly optimizing micro base station's number, deployment location, and power configuration. Simulation results show that the proposed combinatorial optimization strategy effectively improves the system energy efficiency compared to the deployment method, regardless of the power factor. Moreover, it verifies that the micro base station power affects the energy efficiency in HetNets.
引用
收藏
页码:10487 / 10495
页数:9
相关论文
共 50 条
  • [41] Robust and energy-efficient user association and traffic routing in B5G HetNets
    Mesodiakaki, A.
    Zola, E.
    Kassler, A.
    COMPUTER NETWORKS, 2022, 217
  • [42] Analysis of QoS aware energy-efficient resource provisioning techniques in cloud computing
    Malla, Parvaz Ahmad
    Sheikh, Sophiya
    INTERNATIONAL JOURNAL OF COMMUNICATION SYSTEMS, 2023, 36 (01)
  • [43] Energy-Efficient UAVs Deployment for QoS-Guaranteed VoWiFi Service
    Mayor, Vicente
    Estepa, Rafael
    Estepa, Antonio
    Madinabeitia, German
    SENSORS, 2020, 20 (16) : 1 - 32
  • [44] Energy-Efficient Resource Allocation for 5G Full-Duplex Enabled Device-to-Device Communication
    Tang, Rui
    Zhao, Jihong
    Qu, Hua
    Zhang, Zhenwei
    2016 IEEE GLOBECOM WORKSHOPS (GC WKSHPS), 2016,
  • [45] Energy-Efficient Adaptive Sectorization for 5G Green Wireless Communication Systems
    Jain, Preksha
    Gupta, Akhil
    IEEE SYSTEMS JOURNAL, 2020, 14 (02): : 2382 - 2391
  • [46] Energy-efficient multi-cell resource allocation in cognitive radio-enabled 5G systems
    Lv, Hengwei
    Li, Pandong
    Yan, Qinmengying
    Zhang, Haijian
    EURASIP JOURNAL ON ADVANCES IN SIGNAL PROCESSING, 2019, 2019 (1)
  • [47] An energy-efficient JT-CoMP enabled framework with adaptive OMA/NOMA in HetNets
    Akbar, Aamina
    Ahmed, Ashfaq
    Zafar, Adnan
    Jangsher, Sobia
    COMPUTER NETWORKS, 2024, 254
  • [48] Energy-Efficient Base-Station Cooperative Operation with Guaranteed QoS
    Han, Feng
    Safar, Zoltan
    Liu, K. J. Ray
    IEEE TRANSACTIONS ON COMMUNICATIONS, 2013, 61 (08) : 3505 - 3517
  • [49] A Greedy Algorithm for Energy-Efficient Base Station Deployment in Heterogeneous Networks
    Coskun, Cemil Can
    Ayanoglu, Ender
    2015 IEEE INTERNATIONAL CONFERENCE ON COMMUNICATIONS (ICC), 2015, : 7 - 12
  • [50] QoS Aware Integrated Management Technique for 5G mmWave-Based Hetnets
    Manjunath, L.
    Prabakaran, N.
    Kumer, S. V. Aswin
    Mohan, E.
    Natarajan, Balaji
    Sambasivam, G.
    Tyagi, Vaibhav Bhushan
    IEEE ACCESS, 2023, 11 : 103394 - 103405