Power Allocation in Massive MIMO-HWSN Based on the Water-Filling Algorithm

被引：9
|
作者：
Li, Zhe [1 ]
Verma, Sahil [2 ]
Jin, Machao [3 ]
机构：
[1] Railway Police Coll, Sch Informat Engn, Dept Railway Policing, Zhengzhou, Peoples R China
[2] Chandigarh Univ, Mohali, India
[3] Shanxi Met Geotech Engn Invest Co Ltd, Dept Informat & Commun, Taiyuan, Shanxi, Peoples R China
来源：
WIRELESS COMMUNICATIONS & MOBILE COMPUTING | 2021年 / 2021卷
关键词：
CHANNEL ESTIMATION; RESOURCE-ALLOCATION; SENSOR NETWORKS; WIRELESS; CONTAMINATION; THROUGHPUT; INTERNET;
D O I：
10.1155/2021/8719066
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
Pilot power allocation for Internet of Things (IoT) devices in massive multi-input multioutput heterogeneous wireless sensor networks (MIMO-HWSN) is studied in this paper. The interference caused by fractional pilot reusing in adjacent cells had a negative effect on the MIMO-HWSN system performance. Reasonable power allocation for users can effectively weaken the interference. Motivated by the water-filling algorithm, we proposed a suboptimal pilot transmission power method to improve the system capacity. Simulation results show that the proposed method can significantly improve the uplink capacity of the system and explain the influence of different pilot transmission power on the performance of the system, but the complexity of the system almost does not increase.
引用
收藏
页数：11
相关论文
共 50 条
  • [31] COMPLEX COLORED WATER-FILLING ALGORITHM FOR GAIN ALLOCATION IN PROPORTIONATE ADAPTIVE FILTERING
    Wagner, Kevin T.
    Doroslovacki, Milos I.
    2012 CONFERENCE RECORD OF THE FORTY SIXTH ASILOMAR CONFERENCE ON SIGNALS, SYSTEMS AND COMPUTERS (ASILOMAR), 2012, : 1802 - 1806
  • [32] A Nash Equilibrium Based Effective Water-Filling Algorithm for MIMO Systems in Underground Tunnel: Performance Analysis
    Hasan, M. S.
    Rana, M. M.
    Abdelhadi, A.
    PROCEEDINGS OF 2020 IEEE 10TH INTERNATIONAL CONFERENCE ON ELECTRONICS INFORMATION AND EMERGENCY COMMUNICATION (ICEIEC 2020), 2020, : 57 - 60
  • [33] Water-filling Capacity Analysis in Large MIMO Systems
    Lu, Yi
    Zhang, Wei
    2013 COMPUTING, COMMUNICATIONS AND IT APPLICATIONS CONFERENCE (COMCOMAP), 2013, : 186 - 190
  • [34] Subcarrier allocation in OFDMA systems: Beyond water-filling
    Kittipiyakul, S
    Javidi, T
    CONFERENCE RECORD OF THE THIRTY-EIGHTH ASILOMAR CONFERENCE ON SIGNALS, SYSTEMS & COMPUTERS, VOLS 1 AND 2, 2004, : 334 - 338
  • [35] JOINT LOCALIZATION AND PREDICTIVE BEAMFORMING IN VEHICULAR NETWORKS: POWER ALLOCATION BEYOND WATER-FILLING
    Liu, Fan
    Masouros, Christos
    2021 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH AND SIGNAL PROCESSING (ICASSP 2021), 2021, : 8393 - 8397
  • [36] Dynamic Fractional Frequency Reuse based on an Improved Water-Filling for Network MIMO
    Shahida, Noor M. K.
    Nordin, Rosdiadee
    Ismail, Mahamod
    KSII TRANSACTIONS ON INTERNET AND INFORMATION SYSTEMS, 2016, 10 (05): : 2124 - 2143
  • [37] A NONCONVERGENT EXAMPLE FOR THE ITERATIVE WATER-FILLING ALGORITHM
    He, Simai
    Li, Min
    Zhang, Shuzhong
    Luo, Zhi-Quan
    NUMERICAL ALGEBRA CONTROL AND OPTIMIZATION, 2011, 1 (01): : 147 - 150
  • [38] A Generalized Iterative Water-Filling Algorithm for Distributed Power Control in the Presence of a Jammer
    Gohary, Ramy H.
    Huang, Yao
    Luo, Zhi-Quan
    Pang, Jong-Shi
    IEEE TRANSACTIONS ON SIGNAL PROCESSING, 2009, 57 (07) : 2660 - 2674
  • [39] Fast Water-Filling for Agile Power Allocation in Multi-Channel Wireless Communications
    Ling, Xiang
    Wu, Bin
    Ho, Pin-Han
    Luo, Fengya
    Pan, Lili
    IEEE COMMUNICATIONS LETTERS, 2012, 16 (08) : 1212 - 1215
  • [40] Performance analysis of AF relaying based on water-filling power allocation over Nakagami-m fading
    Qin D.
    Wang Y.
    Journal of Shanghai Jiaotong University (Science), 2017, 22 (1) : 107 - 113
12345