Noncoherent MIMO Multiple-Access Channels: A Joint Constellation Design

We consider the joint constellation design problem for noncoherent multiple-input multiple-output multiple-access channels. By analyzing the noncoherent maximum-likelihood detection error, we propose novel design criteria so as to minimize the error probability. For any given set of constellation sizes, the proposed metrics can be optimized over the set of signal matrices. Based on these criteria, we propose a simple and efficient construction consisting in partitioning a single-user constellation. Numerical results show that our proposed metrics are meaningful, and can be used as objectives to generate constellations through numerical optimization that perform better, for the same transmission rate and power constraint, than a common pilot-based scheme and the constellations optimized with existing metrics.

[1]  Erwin Riegler,et al.  On the Capacity of Large-MIMO Block-Fading Channels , 2012, IEEE Journal on Selected Areas in Communications.

[2]  Lizhong Zheng,et al.  Communication on the Grassmann manifold: A geometric approach to the noncoherent multiple-antenna channel , 2002, IEEE Trans. Inf. Theory.

[3]  Alexis Decurninge,et al.  Joint Constellation Design for Noncoherent MIMO Multiple-Access Channels , 2020, ArXiv.

[4]  Matthias Brehler,et al.  Noncoherent Multiuser Space-Time Communications: Optimum Receivers and Signal Design , 2001 .

[5]  Alexis Decurninge,et al.  A Multiple Access Scheme for Non-Coherent SIMO Communications , 2018, 2018 52nd Asilomar Conference on Signals, Systems, and Computers.

[6]  Matthias Brehler,et al.  Signal design and convolutional coding for noncoherent space-time communication on the block-Rayleigh-fading channel , 2002, IEEE Trans. Inf. Theory.

[7]  Halim Yanikomeroglu,et al.  Noncoherent MIMO Signaling for Block-Fading Channels: Approaches and Challenges , 2019, IEEE Vehicular Technology Magazine.

[8]  Tao Jiang,et al.  A Differential QAM Detection in Uplink Massive MIMO Systems , 2016, IEEE Transactions on Wireless Communications.

[9]  Maxime Guillaud,et al.  The Optimal DoF Region for the Two-User Non-Coherent SIMO Multiple-Access Channel , 2018, 2018 IEEE Information Theory Workshop (ITW).

[10]  Timothy N. Davidson,et al.  Flexible Codebook Design for Limited Feedback Systems Via Sequential Smooth Optimization on the Grassmannian Manifold , 2014, IEEE Transactions on Signal Processing.

[11]  Andrea J. Goldsmith,et al.  Energy-Based Modulation for Noncoherent Massive SIMO Systems , 2015, IEEE Transactions on Wireless Communications.

[12]  Lajos Hanzo,et al.  A Noncoherent Multiuser Large-Scale SIMO System Relying on M-Ary DPSK and BICM-ID , 2017, IEEE Transactions on Vehicular Technology.

[13]  Branka Vucetic,et al.  Design of Non-orthogonal and Noncoherent Massive MIMO for Scalable URLLC Beyond 5G , 2020, ArXiv.

[14]  Bamdev Mishra,et al.  Manopt, a matlab toolbox for optimization on manifolds , 2013, J. Mach. Learn. Res..