Successive interference cancellation and fractional frequency reuse for LTE uplink communications

Jianhua He, Zuoyin Tang (Lead / Corresponding author), Zhiguo Ding, Dapeng Wu

    Research output: Contribution to journalArticlepeer-review

    7 Citations (Scopus)

    Abstract

    Cellular networks are increasingly densified to deal with the fast growing wireless traffic. Interference mitigation plays a key role for the dense cellular networks. Successive interference cancellation (SIC) and fractional frequency reuse (FFR) are two representative inter-cell interference (ICI) mitigation techniques. In this paper, we study the application of both SIC and FFR for LTE uplink networks, and develop an analytical model to investigate their interactions and impact on network performance. The performance gains with FFR and SIC are related to key system functionalities and variables, such as SIC parameters, FFR bandwidth partition, uplink power control and sector antennas. The ICIs from individual cell sectors are approximated by log-normal random variables, which enables low complexity computation of the aggregate ICI with FFR and SIC. Then, network performance of site throughput and outage probability is computed. The model is fast and has small modeling deviation, which is validated by simulations. Numerical results show that both SIC and FFR can largely improve network performance, but SIC has a stronger impact than FFR. In addition, most of the network performance gains with SIC could be obtained with a small number of SIC stages applied to a few sectors.

    Original languageEnglish
    Article number8438862
    Pages (from-to)10528-10542
    Number of pages15
    JournalIEEE Transactions on Vehicular Technology
    Volume67
    Issue number11
    Early online date17 Aug 2018
    DOIs
    Publication statusPublished - Nov 2018

    Keywords

    • fractional frequency reuse
    • Long-Term evolution (LTE)
    • successive interference cancellation
    • system performance modeling

    ASJC Scopus subject areas

    • Automotive Engineering
    • Aerospace Engineering
    • Applied Mathematics
    • Electrical and Electronic Engineering

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