Advanced Search
Volume 40 Issue 10
Sep.  2018
Turn off MathJax
Article Contents
Cheng TAO, Wenbo ZHENG, Yongzhi LI, Liu LIU. Achievable Rate Analysis on Massive MIMO-OFDM Systems with Low-resolution ADC[J]. Journal of Electronics & Information Technology, 2018, 40(10): 2294-2300. doi: 10.11999/JEIT180088
Citation: Cheng TAO, Wenbo ZHENG, Yongzhi LI, Liu LIU. Achievable Rate Analysis on Massive MIMO-OFDM Systems with Low-resolution ADC[J]. Journal of Electronics & Information Technology, 2018, 40(10): 2294-2300. doi: 10.11999/JEIT180088

Achievable Rate Analysis on Massive MIMO-OFDM Systems with Low-resolution ADC

doi: 10.11999/JEIT180088
Funds:  Beijing Nova Programme (Z161100004916068), The National Natural Science Foundation of China (61471027), The Research Fund of National Mobile Communications Research Laboratory, Southeast University (2014D05, 2017D01), Beijing Natural Science Foundation (4152043)
  • Received Date: 2018-01-23
  • Rev Recd Date: 2018-06-21
  • Available Online: 2018-07-13
  • Publish Date: 2018-10-01
  • The achievable rate performance for the massive MIMO-OFDM system is investigated, where each antenna is equipped with low-resolution Analog-to-Digital Converters (ADC) and the Maximum Ratio Combining (MRC) receiver is assumed to be employed. The closed-form expression for the uplink achievable rate is firstly derived by using the Additive Quantization Noise Model (AQNM) model, which reforms the nonlinear quantization function into a linear one. Then the performance between the low-resolution quantization system and the conventional system with infinite resolution ADCs is compared based on the derived closed-form expression. Simulation results are presented to verify the analytical results. In addition, it is illustrated that the performance loss of using low-resolution ADCs can be compensated for by deploying more antennas at the base station.
  • loading
  • MARZETTA T L. Noncooperative cellular wireless with unlimited numbers of base station antennas[J]. IEEE Transactions on Wireless Communications, 2010, 9(11): 3590–3600 doi: 10.1109/TWC.2010.092810.091092
    LARSSON E G, EDFORS O, and TUFVESSON F. Massive MIMO for next generation wireless systems[J]. IEEE Communications Magazine, 2014, 52(2): 186–195 doi: 10.1109/MCOM.2014.6736761
    胡莹, 黄永明, 俞菲, 等. 多用户大规模MIMO系统能效资源分配算法[J]. 电子与信息学报, 2015, 37(9): 2198–2203 doi: 10.11999/JEIT150088

    HU Ying, HUANG Yongming, YU Fei, et al. Energy-efficient resource allocation based on multi-user massive MIMO system[J]. Journal of Electronics&Information Technology, 2015, 37(9): 2198–2203 doi: 10.11999/JEIT150088
    ZAIB A, MASOOD M, ALI A, et al. Distributed channel estimation and pilot contamination analysis for massive MIMO-OFDM systems[J]. IEEE Transactions on Communications, 2016, 64(11): 4607–4621 doi: 10.1109/TCOMM.2016.2593924
    ZAIB A, MASOOD M, GHOGHO M, et al. Distributive estimation of frequency selective channels for massive MIMO systems[C]. 2015 23rd European Signal Processing Conference (EUSIPCO), Nice, France 2015: 889–893.
    SARAJLIC M, LIU L, and EDFORS O. An energy efficiency perspective on massive MIMO quantization[C]. 2016 50th Asilomar Conference on Signals, Systems and Computers, California, America, 2016: 473–478.
    SINGH J, DABEER O, and MADHOW U. On the limits of communication with low-precision analog-to-digital conversion at the receiver[J]. IEEE Transactions on Communications, 2009, 57(12): 3629–3639 doi: 10.1109/TCOMM.2008.12.080559
    刘留, 李泳志, 陶成, 等. 基于阵列域大尺度衰落模型的1-bit大规模MIMO系统性能的分析[J]. 电子与信息学报, 2017, 39(6): 1515–1519 doi: 10.11999/JEIT161248

    LIU Liu, LI Yongzhi, TAO Cheng, et al. Performance analysis for one-bit massive MIMO systems based on large scale fading model in antenna-array domain[J]. Journal of Electronics&Information Technology, 2017, 39(6): 1515–1519 doi: 10.11999/JEIT161248
    LI Yongzhi, TAO Cheng, SECO-GRANADOS G, et al. Channel estimation and performance analysis of one-bit massive MIMO systems[J]. IEEE Transactions on Signal Processing, 2017, 65(15): 4075–4089 doi: 10.1109/TSP.2017.2706179
    ORHAN O, ERKIP E, and RANGAN S. Low power analog-to-digital conversion in millimeter wave systems: Impact of resolution and bandwidth on performance[C]. 2015 Information Theory and Applications Workshop (ITA), La Jolla, America, 2015: 191–198.
    BAI Q, MEZGHANI A, and NOSSEK J A. On the optimization of ADC resolution in multi-antenna systems[C]. ISWCS 2013; The Tenth International Symposium on Wireless Communication Systems, Ilmenau, Germany, 2013: 1–5.
    FAN Li, JIN Shi, WEN Chaokai, et al. Uplink achievable rate for massive MIMO systems with low-resolution ADC[J]. IEEE Communications Letters, 2015, 19(12): 2186–2189 doi: 10.1109/LCOMM.2015.2494600
    ZHANG Jiayi, DAI Linglong, SUN Shengyang, et al. On the spectral efficiency of massive MIMO systems with low-resolution ADCs[J]. IEEE Communications Letters, 2016, 20(5): 842–845 doi: 10.1109/LCOMM.2016.2535132
    PITAROKOILIS A, BJÖRNSON E, and LARSSON E. Performance of the massive MIMO uplink with OFDM and phase noise[J]. IEEE Communications Letters, 2016, 20(8): 1595–1598 doi: 10.1109/LCOMM.2016.2581169
    HASSIBI B and HOCHWALD B M. How much training is needed in multiple-antenna wireless links?[J]. IEEE Transactions on Information Theory, 2003, 49(4): 951–963 doi: 10.1109/TIT.2003809594
    SHUICHI O and GIANNAKIS G B. Capacity maximizing MMSE-optimal pilots for wireless OFDM over frequency-selective block Rayleigh-fading channels[J]. IEEE Transactions on Information Theory, 2004, 50(9): 2138–2145 doi: 10.1109/TIT.2004.833365
    ZHANG Qi, JIN Shi, WONG Kaikit, et al. Power scaling of uplink massive MIMO systems with arbitrary-rank channel means[J]. IEEE Journal of Selected Topics in Signal Processing, 2014, 8(5): 966–981 doi: 10.1109/JSTSP.2014.2324534
  • 加载中

Catalog

    通讯作者: 陈斌, bchen63@163.com
    • 1. 

      沈阳化工大学材料科学与工程学院 沈阳 110142

    1. 本站搜索
    2. 百度学术搜索
    3. 万方数据库搜索
    4. CNKI搜索

    Figures(6)  / Tables(1)

    Article Metrics

    Article views (2163) PDF downloads(65) Cited by()
    Proportional views
    Related

    /

    DownLoad:  Full-Size Img  PowerPoint
    Return
    Return