Experimental Analysis of Network-Aided Interference-Aware Receiver for LTE MU-MIMO

被引:0
|
作者
Kaltenberger, Florian [1 ]
Wagner, Sebastian [2 ]
机构
[1] EURECOM, Sophia Antipolis, France
[2] Intel Mobile Commun, Sophia Antipolis, France
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暂无
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
Multiuser (MU) MIMO is a promising technique to significantly increase the cell capacity in LTE systems. However, users scheduled for MU-MIMO may still experience strong MU interference if the channel state information at the base station is outdated or in small cells with a limited number of users available. Interference-aware (IA) receivers exploit information about the interfering data stream, such as the modulation order, in the decoding process, resulting in a significant performance gain over interference un-aware (IU) receivers while maintaining a moderate complexity. In this paper we study a network-aided interference-aware (NA-IA) receiver that receives the interfering modulation order through network signaling and an IA receiver that uses heuristics to determine the interfering modulation order. We use the real-time OpenAirInterface LTE testbed to experimentally evaluate the performance of IA and IU receivers in terms of throughput under different levels of MU interference. The measurement results show that the NA-IA receiver achieves significantly higher data rates compared to the IA receiver, especially when MU interference is strong. The IU receiver on the other hand requires very low levels of MU-interference to achieve a performance comparable to the IA receivers.
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页码:325 / 328
页数:4
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  • [41] MU-MIMO Receiver Design and Performance Analysis in Time-Varying Rayleigh Fading (vol 70, pg 1214, 2022)
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    [J]. IEEE TRANSACTIONS ON COMMUNICATIONS, 2022, 70 (04) : 2891 - 2891
  • [42] A Channel Quality Indicator (CQI) Prediction Scheme Using Feed Forward Neural Network (FT-NN) technique for MU-MIMO LTE System
    Abdulhasan, Muntadher Qasim
    Salman, Mustafa Ismael
    Ng, Chee Kyun
    Noordin, Nor Kamariah
    Hashim, Shaiful Jahari
    Bin Hashim, Fazirulhisham
    [J]. 2014 IEEE 2ND INTERNATIONAL SYMPOSIUM ON TELECOMMUNICATION TECHNOLOGIES (ISTT), 2014, : 17 - 22
  • [43] Performance Analysis and Experimental Validation of Broadband Interference Mitigation Using an Atomic Clock-Aided GPS Receiver
    Chan, Fang-Cheng
    Joerger, Mathieu
    Khanafseh, Samer
    Pervan, Boris
    Jakubov, Ondrej
    [J]. PROCEEDINGS OF THE 26TH INTERNATIONAL TECHNICAL MEETING OF THE SATELLITE DIVISION OF THE INSTITUTE OF NAVIGATION (ION GNSS 2013), 2013, : 1371 - 1379
  • [44] Statistical QoS Provisioning Analysis and Performance Optimization in xURLLC-Enabled Massive MU-MIMO Networks: A Stochastic Network Calculus Perspective
    Chen, Yuang
    Lu, Hancheng
    Qin, Langtian
    Zhang, Chenwu
    Chen, Chang Wen
    [J]. IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS, 2024, 23 (07) : 8044 - 8058
  • [45] Experimental Evaluations on 4-by-2 MU-MIMO Achieving 1 Gbps Throughput Using AMC with Outer-Loop Threshold Control for LTE-Advanced Downlink
    Saito, Keisuke
    Kakishima, Yuichi
    Kawamura, Teruo
    Kishiyama, Yoshihisa
    Taoka, Hidekazu
    Andoh, Hidehiro
    [J]. 2012 IEEE 75TH VEHICULAR TECHNOLOGY CONFERENCE (VTC SPRING), 2012,
  • [46] A Three-Stage-Concatenated Non-Linear MMSE Interference Rejection Combining Aided MIMO-OFDM Receiver and its EXIT-Chart Analysis
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    Wang, Tsang-Yi
    Wu, Jwo-Yuh
    Li, Chih-Peng
    Ng, Soon Xin
    Maunder, Robert G.
    Hanzo, Lajos
    [J]. IEEE OPEN JOURNAL OF VEHICULAR TECHNOLOGY, 2024, 5 : 507 - 522