Chapter 11
Linear Precoding Strategies for Multi-User Massive MIMO Systems
Mosa Ali Abu-Rgheff,
Mosa Ali Abu-Rgheff
University of Plymouth, Centre for Security, Communications and Network Research, United Kingdom
Search for more papers by this authorBook Author(s):Mosa Ali Abu-Rgheff,
Mosa Ali Abu-Rgheff
University of Plymouth, Centre for Security, Communications and Network Research, United Kingdom
Search for more papers by this authorFirst published: 16 September 2019
Summary
This chapter introduces the precoding strategies including nonlinear precoding known as dirty paper coding or Costa precoding. It describes the basic generic linear precoding structure and the articulation of the precoding matrix. The chapter examines multi-user multiple-input, multiple-output (MIMO) precoding. It also describes linear channel inversion precoding at the transmitter of multi-user, which began by explaining the basic concept of channel inversion, followed by a detailed analysis of broadcast channel (BC) inversion model. The chapter considers multi-user zero-forcing (ZF) precoding used in BC. It provides information on the definition and fairness, maximizing the throughput, and managing the channel outage. The chapter addresses the matched filter precoding and also considers the regularized zero-forcing (RZF). It presents the block diagonalization (BD) precoding and the model of multi-user BD precoding. The chapter also presents a new type of precoders as an alternative to the RZF/ZF precoders.
References
- Alodeh, M., Chatzinotas, S., and Ottersten, B. (2017). Symbol-level multi-user MISO precoding for multi-level adaptive modulation. IEEE Transactions on Wireless Communications 16 (8): 5511–5524.
- Alodeh, M., Spano, D., Kalantari, S. et al. (2018). Symbol-level and multicast precoding for multiuser multiantenna downlink: A state-of-art, classification and challenges. IEEE Communications Surveys & Tutorials 20 (3): 1733–1757.
- Vu, M. and Paulraj, A. (2007). MIMO wireless linear precoding. IEEE Signal Processing Magazine 24 (5): 86–105.
- Mukherjee, A., and Kwon, H.M. (2007) ‘ Enhanced SVD-based transmit pre-processing for single-user and multi-user MIMO wireless systems with imperfect CSIT Asilomar Conference on Signals, Systems and Computers, 1659–1663.
- Raleigh, G.G. and Cioffi, J.M. (1998). Spatio-temporal coding for wireless communications. IEEE Transactions on Communications 46 (3): 357–366.
- Lu, A.-A., Gao, X., and Xiao, C. (2016). Free deterministic equivalents for the analysis of MIMO multiple access channel. IEEE Transactions on Information Theory 62 (8): 4604–4629.
- Weichselberger, W., Herdin, M., Ozcelik, H., and Bonek, E. (2006). A stochastic MIMO channel model with joint correlation of both link ends. IEEE Transactions on Wireless Communications 5 (1): 90–100.
- Oestges, C. (2006) ‘Validity of the Kronecker model for MIMO correlated channels’, IEEE Vehicular Technology Conference, 6, 2818–2822.
- Wu, Y., Wen, C.-K., Xiao, C. et al. (2015). Linear precoding for the MIMO multiple access channel with finite alphabet inputs and statistical CSI. IEEE Transactions on Wireless Communications 14 (2): 983–997.
- Haustein, T., von Helmolt, C., Jorswieck, E., et al.(2002) ‘ Performance of MIMO systems with channel inversion’, IEEE Vehicular Technology Conference, 1, 35–39.
- Goldsmith, A.J. and Varaiya, P.P. (1997). Capacity of fading channels with channel side information. IEEE Transactions on Information Theory 43 (6): 1986–1992.
- Wiesel, A., Eldar, Y.C., and Shamai, S. (2008). Zero-forcing precoding and generalized inverses. IEEE Transactions on Signal Processing 56 (9): 4409–4418.
- Bjornson, E., Ntontin, K., and Ottersten, B. (2011) ‘ Channel quantization design in multi-user MIMO systems: asymmetric verses practical conclusions’, IEEE International Conference on Acoustics, Speech and Signal Processing, 3072–3075.
- Long, Y., Chen, Z., and fang, J. (2016). Minimum number of antennas required to satisfy outage probability in massive MIMO systems. IEEE Wireless Communications Letters 5 (4): 348–351.
- Makki, B., Svensson, T., Eriksson, T., and Alouini, M.-S. (2016). On the required number of antennas in a point to point large but finite MIMO system: outage –limited scenario. IEEE Transactions on Communications 64 (5): 1968–1982.
- Luo, H., Xu, D., and Bao, J. (2018). Outage capacity analysis of MIMO system with survival probability. IEEE Communications Letters 22 (6): 1132–1135.
- Joham, M., Utschick, W., and Nossek, J. (2005). Linear transmit processing in MIMO communications systems. IEEE Transactions on Signal Processing 53 (8): 2700–2712.
- Mehana, A.H. and Nosratinia, A. (2014). Diversity of MIMO linear precoding. IEEE Transactions on Information Theory 60 (2): 1019–1038.
- Joham, M., Utschick, W. and Nossek,J.A. (2001) ‘ On the equivalence of prerake and transmit matched filter’, Proc. ASST, 313–318.
- Esmailzadeh, R. and Nakagawa, M. (1993) ‘ Pre-RAKE diversity combination for direct sequence spread spectrum communications systems IEEE International Communications Conference (ICC), 1, 463–467.
- Peel, C.B., Hochwald, B.M., and Swindlehurst, L. (2005). A vector-perturbation technique for near-capacity multiantenna multiuser communication—part I: channel inversion and regularization. IEEE Transactions on Communications 53 (1): 195–202.
- Hochwald, B.M., Peel, C.B., and Swindlehurst, L. (2005). A vector-perturbation technique for near-capacity multiantenna multiuser communication—part II: perturbation. IEEE Transactions on Communications 53 (3): 537–544.
- Stankovic, V. and Haardt, M. (2008). Generalized design of multi-user precoding matrices. IEEE Transactions on Wireless Communications 7 (3): 953–961.
- Spencer, Q.H., Swindlehurst, A.L., and Haardt, M. (2004). Zero-forcing methods for downlink spatial multiplexing in multiuser MIMO channels. IEEE Transactions on Signal Processing 52 (2): 461–471.
- Li, W. and Latva-aho, M. (2011). An efficient channel block diagonalization method for generalized zero forcing assisted MIMO broadcasting systems. IEEE Transactions on Wireless Communications 10 (3): 739–744.
- Wang, H., Li, L., Wang, J., et al. (2011) ‘A transmit precoding scheme for downlink multi-user MIMO systems IEEE Vehicular Technology Conference, 1–5
- Zu, K., de Lamare, R.C., and Haardt, M. (2013). Generalized design of low-complexity block diagonalization type precoding algorithms for multiuser MIMO systems. IEEE Transactions on Communications 61 (10): 4232–4242.
- Khan, M.H.A., Cho, K.M., Lee, M.H., and Chung, J.-G. (2014). A simple block diagonal for multi-user MIMO broadcast channels. EURASIP Journal on Wireless Communications and Networking 95: 1–8.
- Heath, R.W., Sandhu, S., and Paulraj, A. (2001). Antenna selection for spatial multiplexing systems with linear receivers. IEEE Communications Letters 5 (4): 142–144.
- Agnihotri, A. and Gupta, B. (2015) ‘ Performance evaluation of linear, non-linear precoding schemes for downlink multi-user MIMO systems’, IEEE International Conference on Industrial Instrumentation and Control (ICIC), 484–489.
- Muller R.R. (2001) ‘ Polynomial expansion equalizers for communication via large MIMO arrays’, European Personal Mobile Communications Conference. 1–7.
- Kohno, R., Hatori, M., and Imai, H. (2001). Cancellation techniques of co-channel interference in asynchronous spread spectrum multiple access systems. Electronics and Communications in Japan 66A (5): 20–29.
- Muller, R.R. and Verdu, S. (2001). Design and analysis of low-complexity interference mitigation on vector channels. IEEE Journal on Selected Areas in Communications 19 (8): 1429–1441.
- Zhang, J., Wu, Y., Gu, J., et al. (2005) ‘ Polynomial expansion based fast iterative multiuser detection algorithm for synchronous DS-CDMA systems’, IEEE Vehicular Technolog Conference, 2, 988–991.
- Zarei, S., Gerstacker, W., Muller, R.R., and Schober, R. (2013) ‘Low-complexity linear precoding for downlink large-scale MIMO systems’, IEEE International Symposium on Personal, Indoor, and Radio Communications: Fundamentals and PHY Track', 1119–1124.
- Kammoun, A., Muller, A., Bjorson, E., and Debbah, M. (2014). Linear precoding based on polynomial expansion: large-scale multi-cell MIMO systems. IEEE Journal of Selected Topics in Signal Processing 8 (5): 861–871.
- Muller, A., Kammoun, A., Bjorson, E., and Debbah, M. (2016). Linear precoding based on polynomial expansion: reducing-complexity in massive MIMO. EURASIP Journal on Wireless Communications and Networking 63: 1–22.
- Muller, A., Kammoun, A., Bjorson, E., and Debbah, M. (2014) ‘ Efficient linear precoding for massive MIMO systems using truncated polynomial expansion’, IEEE Sensor Array and Multichannel Signal Processing Workshop, 273–276.
- Narasimhan, T.L. and Chockalingam, A. (2014). Channel hardening-exploiting message passing (CHEMP) receiver in large-scale MIMO systems. IEEE Journal of Selected Topics 1946 in Signal Processing 8 (5): 847–860.
