Performance analysis of cooperative small cell systems under correlated Rician/Gamma fading channels

Xingwang Li, Jingjing Li, Lihua Li, Liutong Du, Jin Jin, Di Zhang

    Research output: Contribution to journalArticle

    4 Citations (Scopus)

    Abstract

    Small cell networks (SCNs) have emerged as promising technologies to meet the data traffic demands for the future wireless communications. However, the benefits of SCNs are limited to their hard handovers between base stations (BSs). In addition, the interference is another challenging issue. To solve this problem, this study employs a cooperative transmission mechanism focusing on correlated Rician/Gamma fading channels with zero-forcing receivers. The analytical expressions for the achievable sum rate, symbol error rate and outage probability are derived, which are applicable to arbitrary Rician factors, correlation coefficients, the number of antennas, and remain tight across entire signal-to-noise ratios (SNRs). Asymptotic analyses at the high and low SNR regimes are carried out in order to further reveal the insights of the model parameters on the system performance. Monte-Carlo simulation results validate the correctness of their derivations. Numerical results indicate that the theoretical expressions provide sufficiently accurate approximation to simulated results.

    Original languageEnglish
    Pages (from-to)64-73
    Number of pages10
    JournalIET Signal Processing
    Volume12
    Issue number1
    DOIs
    Publication statusPublished - 2018 Feb 1

    Fingerprint

    Fading channels
    Signal to noise ratio
    Outages
    Telecommunication traffic
    Base stations
    Antennas
    Communication
    Monte Carlo simulation

    ASJC Scopus subject areas

    • Signal Processing
    • Electrical and Electronic Engineering

    Cite this

    Performance analysis of cooperative small cell systems under correlated Rician/Gamma fading channels. / Li, Xingwang; Li, Jingjing; Li, Lihua; Du, Liutong; Jin, Jin; Zhang, Di.

    In: IET Signal Processing, Vol. 12, No. 1, 01.02.2018, p. 64-73.

    Research output: Contribution to journalArticle

    Li, Xingwang ; Li, Jingjing ; Li, Lihua ; Du, Liutong ; Jin, Jin ; Zhang, Di. / Performance analysis of cooperative small cell systems under correlated Rician/Gamma fading channels. In: IET Signal Processing. 2018 ; Vol. 12, No. 1. pp. 64-73.
    @article{0d1e51bb1c614f62bb4dde0dddf03b19,
    title = "Performance analysis of cooperative small cell systems under correlated Rician/Gamma fading channels",
    abstract = "Small cell networks (SCNs) have emerged as promising technologies to meet the data traffic demands for the future wireless communications. However, the benefits of SCNs are limited to their hard handovers between base stations (BSs). In addition, the interference is another challenging issue. To solve this problem, this study employs a cooperative transmission mechanism focusing on correlated Rician/Gamma fading channels with zero-forcing receivers. The analytical expressions for the achievable sum rate, symbol error rate and outage probability are derived, which are applicable to arbitrary Rician factors, correlation coefficients, the number of antennas, and remain tight across entire signal-to-noise ratios (SNRs). Asymptotic analyses at the high and low SNR regimes are carried out in order to further reveal the insights of the model parameters on the system performance. Monte-Carlo simulation results validate the correctness of their derivations. Numerical results indicate that the theoretical expressions provide sufficiently accurate approximation to simulated results.",
    author = "Xingwang Li and Jingjing Li and Lihua Li and Liutong Du and Jin Jin and Di Zhang",
    year = "2018",
    month = "2",
    day = "1",
    doi = "10.1049/iet-spr.2017.0078",
    language = "English",
    volume = "12",
    pages = "64--73",
    journal = "IET Signal Processing",
    issn = "1751-9675",
    publisher = "Institution of Engineering and Technology",
    number = "1",

    }

    TY - JOUR

    T1 - Performance analysis of cooperative small cell systems under correlated Rician/Gamma fading channels

    AU - Li, Xingwang

    AU - Li, Jingjing

    AU - Li, Lihua

    AU - Du, Liutong

    AU - Jin, Jin

    AU - Zhang, Di

    PY - 2018/2/1

    Y1 - 2018/2/1

    N2 - Small cell networks (SCNs) have emerged as promising technologies to meet the data traffic demands for the future wireless communications. However, the benefits of SCNs are limited to their hard handovers between base stations (BSs). In addition, the interference is another challenging issue. To solve this problem, this study employs a cooperative transmission mechanism focusing on correlated Rician/Gamma fading channels with zero-forcing receivers. The analytical expressions for the achievable sum rate, symbol error rate and outage probability are derived, which are applicable to arbitrary Rician factors, correlation coefficients, the number of antennas, and remain tight across entire signal-to-noise ratios (SNRs). Asymptotic analyses at the high and low SNR regimes are carried out in order to further reveal the insights of the model parameters on the system performance. Monte-Carlo simulation results validate the correctness of their derivations. Numerical results indicate that the theoretical expressions provide sufficiently accurate approximation to simulated results.

    AB - Small cell networks (SCNs) have emerged as promising technologies to meet the data traffic demands for the future wireless communications. However, the benefits of SCNs are limited to their hard handovers between base stations (BSs). In addition, the interference is another challenging issue. To solve this problem, this study employs a cooperative transmission mechanism focusing on correlated Rician/Gamma fading channels with zero-forcing receivers. The analytical expressions for the achievable sum rate, symbol error rate and outage probability are derived, which are applicable to arbitrary Rician factors, correlation coefficients, the number of antennas, and remain tight across entire signal-to-noise ratios (SNRs). Asymptotic analyses at the high and low SNR regimes are carried out in order to further reveal the insights of the model parameters on the system performance. Monte-Carlo simulation results validate the correctness of their derivations. Numerical results indicate that the theoretical expressions provide sufficiently accurate approximation to simulated results.

    UR - http://www.scopus.com/inward/record.url?scp=85041674607&partnerID=8YFLogxK

    UR - http://www.scopus.com/inward/citedby.url?scp=85041674607&partnerID=8YFLogxK

    U2 - 10.1049/iet-spr.2017.0078

    DO - 10.1049/iet-spr.2017.0078

    M3 - Article

    VL - 12

    SP - 64

    EP - 73

    JO - IET Signal Processing

    JF - IET Signal Processing

    SN - 1751-9675

    IS - 1

    ER -