On Beamforming Gain Models for Performance Evaluation and Analysis of Narrowband and Wideband Wireless Networks

被引:0
|
作者
Chen, Yi [1 ]
Han, Chong [1 ]
机构
[1] Shanghai Jiao Tong Univ, Terahertz Wireless Communicat TWC Lab, Shanghai 200240, Peoples R China
基金
中国国家自然科学基金;
关键词
Beamforming; channel model; millimeter-wave; stochastic geometry; wireless communication networks; MILLIMETER-WAVE; CELLULAR NETWORKS; COVERAGE ANALYSIS; CHANNEL; INTERFERENCE; DESIGN; PROBABILITY; CAPACITY; SYSTEMS;
D O I
10.1109/TCOMM.2021.3108444
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
Directional antennas and beamforming techniques that bring promising transmission gain to the wireless links are widely incorporated in the system-level analysis of wireless networks. In many existing studies, the beamforming gain model to calculate the beamforming gain considers beamforming pattern and aligned as well as misaligned cases. However, the channel properties, e.g., the K factor and the spatial distribution of multi-paths, are neglected, which could significantly influence the beamforming gain. In this paper, a general beamforming gain model is appropriately defined, while the traditional beamforming gain model is proved to be only a special case in the proposed general model by considering an oversimplified channel with no angular spread. In light of this, expressions of the received signal amplitude and the beamforming gain are rigorously derived for narrowband fading and wideband statistical mmWave channels, respectively. Thorough comparison between the proposed beamforming gain model and the traditional beamforming gain is provided, which demonstrates and validates that the traditional model incorrectly captures the beamforming gain and thereby, leads to inaccurate system-level network analysis. To this end, the effectiveness and importance of the proposed general beamforming gain model are revealed, particularly for millimeter-wave wideband systems.
引用
收藏
页码:7864 / 7878
页数:15
相关论文
共 50 条
  • [31] Performance analysis of narrowband beamforming using fully and partial adaptive beamformers with a spherical array
    Torres, A. M.
    Mateo, J.
    Vicente, L. M.
    MULTIDIMENSIONAL SYSTEMS AND SIGNAL PROCESSING, 2017, 28 (04) : 1325 - 1341
  • [32] Stochastic Geometry Analysis of Spatial-Temporal Performance in Wireless Networks: A Tutorial
    Lu, Xiao
    Salehi, Mohammad
    Haenggi, Martin
    Hossain, Ekram
    Jiang, Hai
    IEEE COMMUNICATIONS SURVEYS AND TUTORIALS, 2021, 23 (04): : 2753 - 2801
  • [33] Coverage Performance Analysis of Wireless Caching Networks With Non-Orthogonal Multiple Access-Based Multicasting
    Song, Xiaoshi
    Li, Haojun
    Yuan, Mengying
    Huang, Yao
    IEEE ACCESS, 2019, 7 : 164009 - 164020
  • [34] Performance Analysis of Wireless Heterogeneous Networks with Pushing and Caching
    Yang, Chenchen
    Chen, Zhiyong
    Yao, Yao
    Xia, Bin
    2015 IEEE INTERNATIONAL CONFERENCE ON COMMUNICATIONS (ICC), 2015, : 2190 - 2195
  • [35] Performance Analysis of Receive Diversity in Wireless Sensor Networks over GBSBE Models
    Goel, Shivali
    Abawajy, Jemal H.
    Kim, Tai-hoon
    SENSORS, 2010, 10 (12): : 11021 - 11037
  • [36] Performance Analysis of Hop-by-Hop Beamforming for Dual-Hop MIMO AF Relay Networks
    Amarasuriya, Gayan
    Tellambura, Chintha
    Ardakani, Masoud
    IEEE TRANSACTIONS ON COMMUNICATIONS, 2012, 60 (07) : 1823 - 1837
  • [37] Analysis of beamforming for improving the energy efficiency in wireless sensor networks with metaheuristics
    Enrique Agudo, J.
    Valenzuela-Valdes, Juan F.
    Luna, Francisco
    Luque-Baena, Rafael M.
    Padilla, Pablo
    PROGRESS IN ARTIFICIAL INTELLIGENCE, 2016, 5 (03) : 199 - 206
  • [38] Performance Evaluation of Wireless Networks on Chip Architectures
    Ganguly, Amlan
    Chang, Kevin
    Pande, Partha Pratim
    Belzer, Benjamin
    Nojeh, Alireza
    ISQED 2009: PROCEEDINGS 10TH INTERNATIONAL SYMPOSIUM ON QUALITY ELECTRONIC DESIGN, VOLS 1 AND 2, 2009, : 350 - +
  • [39] Performance Analysis of Cognitive Wireless Powered Communication Networks Under Unsaturated Traffic Condition
    Nobar, Sina Khoshabi
    Niya, Javad Musevi
    Tazehkand, Behzad Mozaffari
    IEEE TRANSACTIONS ON GREEN COMMUNICATIONS AND NETWORKING, 2020, 4 (03): : 819 - 831