MMSE based beamformer in massive MIMO-IDMA downlink systems

Aasheesh Shukla 1 , Vishal Goyal 1 , Manish Kumar 1 , Munesh Chandra Trivedi 2 , and Vinay Kumar Deolia 1
  • 1 Department of Electronics and Communication, GLA University, Mathura, India
  • 2 Department of Computer Science and Engineering, , Agartala, India


Now-a-days Massive MIMO (mMIMO) become an attractive technology due to its spectral and energy efficiency by the means of simple signal processing. However, in overloaded scenario, wherein the number of users equipments (UEs) are larger than number of antennas, the spectral effciency (SE) suffers and hence error rate performance, it has been shown recently that use of code domain NOMA in mMIMO can improve the SE performance. Further, interleave division multiple access (IDMA) has been drawn much attention as a suitable code domain non-orthogonal multiple access (NOMA) for future communication standards. This paper proposes the work in two folds, first a massive multiple input and multiple output (MIMO) and IDMA communication system is jointly proposed in which antennas on the base station serves users simultaneously in the same frequency band. Both and are large in numbers. Secondly, the minimum mean square error (MMSE) based beamformer is suggested to combat the propagation loss and effect of multiple access interference (MAI), for massive MIMO-IDMA system under downlink communication constraints. With the help of simulation results, the performance of the proposed system with MMSE beamforming have been investigated in terms of BER vs SNR curve plot.

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  • [1] L. Liu, C. Yuen, Y. -L Guan, Y. Li, and C. Huang, “Gaussian Message Passing for Overloaded Massive MIMO-NOMA”, IEEE transactions on wireless communication vol. 18, no.. 1, pp. 210-226, 2018.

  • [2] T. L. Marzetta, “Non-cooperative cellular wireless with unlimited numbers of base station antennas” IEEE transactions on wireless communication, vol. 9, no. 11, pp. 3590-3600, 2010.

  • [3] C. Jinho and S. Perreau, “MMSE multiuser downlink multiple antenna transmission for CDMA systems”, IEEE transactions on signal processing vol. 52, no. 6 pp. 1564-1573, 2004.

  • [4] T. P. Le-Mai, L. Sanguinetti, E. Bj¨ornson, and M.-G. Di Benedetto, “What is the Benefit of Code-domain NOMA inMassiveMIMO?”, 2019 IEEE 30th Annual International Symposium on Personal Indoor Mobile Radio Communications (PIMRC), pp. 1-5.

  • [5] W. Zhanji, K. Lu, C. Jiang, and X. Shao, “Comprehensive study comparison on 5G NOMA schemes”, IEEE Access, pp. 18511-18519, 2018.

  • [6] L. Ping, L. Liu, K. Wu, and W. K. Leung, “Interleave division multiple access”, IEEE Trans. Wireless Commun., vol. 5, no. 4, pp. 938-947, 2006.

  • [7] L. Ping, Interleave-division multiple access chip-by-chip iterative multi-user detection IEEE Commun, Mag., vol. 43 no. 6, pp. 519-523, 2005.

  • [8] L. Lei, C. Yuen, Y. -l Guan, Y. Li, and C. Huang, “Gaussian Message Passing for Overloaded Massive MIMO-NOMA”, IEEE Transactions on Wireless Communications, vol. 18, no. 1, pp. 210-226, 2019.

  • [9] M. N. Boroujerdi, S. Haghighatshoar, and G. Caire, “Low-complexity Statistically Robust Beamformer Design for Massive MIMO Systems”, 22nd International ITG Workshop on Smart Antennas, 2018.

  • [10] S. Aasheesh, V. Goyal, P. Mishra, and V. K. Deolia, “C”, perative relay beamforming in IDMA communication networks, Journal of Electrical Engineering, vol. 69, no. 4, pp. 300-304, 2018.

  • [11] L. Lei, “Capacity-achieving MIMO-NOMA: iterative LMMSE detection”, IEEE Transactions on Signal Processing vol. 67, no. 7, pp. 1758-73, 2019.

  • [12] K. Senel, H. V. Cheng, E. Bjornson, and E. G. Larsson, “What role can NOMA play in massive MIMO?”, IEEE Journal of Selected Topics in Signal Processing vol. 13, no. 3, pp. 597-611, 2019.


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