Skip to main content
SearchLoginLogin or Signup

Novel Nonorthogonal Multi-access Method for Multi-user MIMO with Antenna Number Modulation

Multi-User MIMO-ANM is proposed in this work as a novel non-orthogonal multi-access transmission method that targets serving multiple users by dedicating the antennas used for implementing ANM to serve a far user, whereas the remaining antennas are used to serve a near user.

Published onApr 06, 2021
Novel Nonorthogonal Multi-access Method for Multi-user MIMO with Antenna Number Modulation
·

ABSTRACT

Multiple Input Multiple Output with Antenna Number Modulation and Adaptive Antenna Selection (MIMO-ANM-AAS) has recently been proposed as an effective transmission method that can make the selection of antennas to be both data and channel dependent simultaneously, which can result in having a much more improved performance in terms of reliability compared to index/spatial modulation-based schemes. However, one of the main undesirable features of MIMO-ANM-AAS, which is also the case with spatial modulation, is the fact that not all the available antennas are utilized for data transmission as some of these antennas are made inactive. To overcome this problem and utilize all available antennas, Multi-User MIMO-ANM-AAS is proposed in this paper as a novel non-orthogonal multi-access data transmission method that targets serving multiple users by dedicating the antennas used for implementing ANM to serve a far user, whereas the remaining antennas are used to send data for a near user. The fundamental idea behind the proposed scheme is to serve a far user, who is located in a distant location from the transmitter, by the antennas that are defined and utilized by the ANM modulation, while the remaining antennas are deployed to transmit a lower power data stream that is intended to be sent to a near user, who is located in a close proximity from the transmitter. By implementing this method, the near user can simply be served by allocating low transmission power to the antennas that are not used by ANM, whereas the far user is served by the antennas involved in the ANM modulation. By using such a transmission scheme, two users can be served simultaneously by a single MIMO-ANM architecture, and the obtained system reliability of the transmitted data stream for far user can be enhanced, while the capabilities of the antennas not used by ANM are not wasted, but instead utilized to serve an additional user, thus resulting in improving the overall spectral efficiency of the system. In this paper, the concepts of MU-MIMO-ANM-AAS are established on the basis of conventional MIMO using binary phase shift keying (BPSK) symbol modulation over a Rayleigh fading channel. The validity of the system is proven by exhibiting both theoretical analysis and computer simulations' results. Considering the acquired results, it can be said that the proposed MU-MIMO-ANM-AAS is an effective scheme that can satisfy the requirements of multi-user cases for future wireless systems demanding higher reliability and, better spectral efficiency.

INDEX TERMS: MIMO-ANM, MIMO-ANM-AAS, MU-MIMO-ANM-AAS, Nonorthogonal, antenna number modulation, multi-user, wireless communication, 6G, future wireless networks.

References

[1] J. Hoydis, S. Ten Brink, and M. Debbah, “Massive MIMO in the ul/dlof cellular networks: How many antennas do we need?” IEEE Journal onselected Areas in Communications, vol. 31, no. 2, pp. 160–171, 2013.

[2] E. Björnson, L. Sanguinetti, J. Hoydis, and M. Debbah, “Designing multi-user MIMO for energy efficiency: When is massive MIMO the answer?”in 2014 IEEE Wireless Communications and Networking Conference(WCNC). IEEE, 2014, pp. 242–247.

[3] N. Su, E. Panayirci, M. Koca, A. Yesilkaya, H. V. Poor, and H. Haas,“Physical layer security for multi-user MIMO visible light communica-tion systems with generalized space shift keying,” IEEE Transactions onCommunications, 2021.

[4] M. Kirik and J. M. Hamamreh, “Multiple MIMO with joint block antennanumber modulation and adaptive antenna selection for future wirelesssystems,” RS Open Journal on Innovative Communication Technologies,vol. 1, no. 2, 12 2020.

[5] ——, “Multiple MIMO with antenna number modulation,” in 2020 In-ternational Conference on UK-China Emerging Technologies (UCET).IEEE, 2020, pp. 1–4.

[6] J. Mietzner, R. Schober, L. Lampe, W. H. Gerstacker, and P. A. Hoeher,“Multiple-antenna techniques for wireless communications-a comprehen-sive literature survey,” IEEE communications surveys & tutorials, vol. 11,no. 2, pp. 87–105, 2009.

[7] H. Huang, C. B. Papadias, and S. Venkatesan, MIMO communication forcellular networks. Springer Science & Business Media, 2011.

[8] D. Wang, J. Wang, X. You, Y. Wang, M. Chen, and X. Hou, “Spectralefficiency of distributed MIMO systems,” IEEE Journal on Selected Areasin Communications, vol. 31, no. 10, pp. 2112–2127, 2013.

[9] S. Narayanan, M. J. Chaudhry, A. Stavridis, M. Di Renzo, F. Graziosi, andH. Haas, “Multi-user spatial modulation MIMO,” in 2014 IEEE WirelessCommunications and Networking Conference (WCNC). IEEE, 2014, pp.671–676.

[10] D. Gesbert, M. Kountouris, R. W. Heath, C.-B. Chae, and T. Salzer,“Shifting the MIMO paradigm,” IEEE signal processing magazine, vol. 24,no. 5, pp. 36–46, 2007.

[11] S. Serbetli and A. Yener, “Transceiver optimization for multiuser MIMOsystems,” IEEE Transactions on Signal Processing, vol. 52, no. 1, pp. 214–226, 2004.

[12] H. Q. Ngo, E. G. Larsson, and T. L. Marzetta, “Energy and spectralefficiency of very large multiuser MIMO systems,” IEEE Transactions onCommunications, vol. 61, no. 4, pp. 1436–1449, 2013.

[13] G. Caire, N. Jindal, M. Kobayashi, and N. Ravindran, “Multiuser MIMOachievable rates with downlink training and channel state feedback,” IEEETransactions on Information Theory, vol. 56, no. 6, pp. 2845–2866, 2010.

[14] J. Jose, A. Ashikhmin, T. L. Marzetta, and S. Vishwanath, “Pilot contam-ination and precoding in multi-cell tdd systems,” IEEE Transactions onWireless Communications, vol. 10, no. 8, pp. 2640–2651, 2011.

[15] G. Durisi and S. Benedetto, “Performance evaluation of th-ppm uwbsystems in the presence of multiuser interference,” IEEE CommunicationsLetters, vol. 7, no. 5, pp. 224–226, 2003.

[16] H. Suzuki, “Multiuser interference canceler for ds-cdma system,” Jun. 242003, uS Patent 6,584,115.

[17] M. Costa, “Writing on dirty paper (corresp.),” IEEE transactions oninformation theory, vol. 29, no. 3, pp. 439–441, 1983.

[18] Z. Shen, R. Chen, J. G. Andrews, R. W. Heath, and B. L. Evans, “Lowcomplexity user selection algorithms for multiuser MIMO systems withblock diagonalization,” IEEE Transactions on Signal Processing, vol. 54,no. 9, pp. 3658–3663, 2006.

[19] L. Liang, W. Xu, and X. Dong, “Low-complexity hybrid precoding in mas-sive multiuser MIMO systems,” IEEE Wireless Communications Letters,vol. 3, no. 6, pp. 653–656, 2014.

[20] P. Li, R. C. De Lamare, and R. Fa, “Multiple feedback successive in-terference cancellation detection for multiuser MIMO systems,” IEEETransactions on Wireless Communications, vol. 10, no. 8, pp. 2434–2439,2011.

[21] L. Ping, “Interleave-division multiple access and chip-by-chip iterativemulti-user detection,” IEEE Communications Magazine, vol. 43, no. 6, pp.S19–S23, 2005.

[22] H. V. Poor, “Iterative multiuser detection,” IEEE Signal Processing Maga-zine, vol. 21, no. 1, pp. 81–88, 2004.

[23] J. Lee and N. Jindal, “High snr analysis for MIMO broadcast channels:Dirty paper coding versus linear precoding,” IEEE Transactions on Infor-mation Theory, vol. 53, no. 12, pp. 4787–4792, 2007.

[24] Z. Tu and R. S. Blum, “Multiuser diversity for a dirty paper approach,”IEEE Communications letters, vol. 7, no. 8, pp. 370–372, 2003.

[25] H. Zhang and H. Dai, “Cochannel interference mitigation and cooperativeprocessing in downlink multicell multiuser MIMO networks,” EURASIPJournal on Wireless Communications and Networking, vol. 2004, no. 2,pp. 1–14, 2004.

[26] L. Zhao, D. W. K. Ng, and J. Yuan, “Multi-user precoding and channelestimation for hybrid millimeter wave systems,” IEEE Journal on SelectedAreas in Communications, vol. 35, no. 7, pp. 1576–1590, 2017.

[27] C. Windpassinger, R. F. Fischer, T. Vencel, and J. B. Huber, “Precodingin multiantenna and multiuser communications,” IEEE Transactions onWireless Communications, vol. 3, no. 4, pp. 1305–1316, 2004.

[28] J. M. Hamamreh, M. KIRIK, M. O. SAGMAN, and N. ISHIKAWA,“Multiple input multiple output with antenna number modulation andadaptive antenna selection,” RS Open Journal on Innovative Communi-cation Technologies, vol. 1, no. 1, 2020.

[29] R. Y. Mesleh, H. Haas, S. Sinanovic, C. W. Ahn, and S. Yun, “Spatialmodulation,” IEEE Transactions on vehicular technology, vol. 57, no. 4,pp. 2228–2241, 2008.

[30] J. Jeganathan, A. Ghrayeb, and L. Szczecinski, “Spatial modulation: Opti-mal detection and performance analysis,” IEEE Communications Letters,vol. 12, no. 8, pp. 545–547, 2008.

[31] M. Di Renzo, H. Haas, and P. M. Grant, “Spatial modulation for multiple-antenna wireless systems: A survey,” IEEE Communications Magazine,vol. 49, no. 12, pp. 182–191, 2011.

Comments
0
comment

No comments here

Why not start the discussion?