Scaling Laws for Noncoherent Energy-Based Communications in the SIMO MAC

We consider a one-shot communication setting in which several single antenna transmitters communicate with a receiver with a large number of antennas, i.e., the receiver decodes transmitted information at the end of every symbol time. Motivated by the optimal noncoherent detector in a Rayleigh fading channel, we consider a noncoherent energy-based communication scheme that does not require any knowledge of instantaneous channel state information at either the transmitter or the receiver; it uses only the statistics of the channel and noise. We show that, for general channel fading statistics, the performance of the considered one-shot multiuser noncoherent scheme is the same, in a scaling law sense, as that of the optimal coherent scheme exploiting perfect channel knowledge and coding across time. Furthermore, we present a numerical evaluation of the performance of this scheme in representative fading and noise statistics.

[1]  Petar Popovski,et al.  Energy detection using very large antenna array receivers , 2014, 2014 48th Asilomar Conference on Signals, Systems and Computers.

[2]  Andrea J. Goldsmith,et al.  Design and performance of noncoherent massive SIMO systems , 2014, 2014 48th Annual Conference on Information Sciences and Systems (CISS).

[3]  H. Vincent Poor,et al.  The noncoherent rician fading Channel-part I: structure of the capacity-achieving input , 2005, IEEE Transactions on Wireless Communications.

[4]  Andrea Goldsmith,et al.  Constellation Design in an Energy-based Noncoherent Massive SIMO System , 2015 .

[5]  Nihar Jindal,et al.  A Unified Treatment of Optimum Pilot Overhead in Multipath Fading Channels , 2010, IEEE Transactions on Communications.

[6]  Andrea J. Goldsmith,et al.  Constellation design in noncoherent massive SIMO systems , 2014, 2014 IEEE Global Communications Conference.

[7]  Erik G. Larsson,et al.  Massive MIMO for next generation wireless systems , 2013, IEEE Communications Magazine.

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

[9]  Dilip Warrier Upamanyu Madhow Noncoherent Communication In Space And Time , 1999 .

[10]  Amos Lapidoth,et al.  The fading number and degrees of freedom in non-coherent MIMO fading channels: a peace pipe , 2005, Proceedings. International Symposium on Information Theory, 2005. ISIT 2005..

[11]  Matthias Brehler,et al.  Signal Constellations for Noncoherent Space-Time Communications , 1910 .

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

[13]  Alexander Barg,et al.  Bounds on packings of spheres in the Grassmann manifold , 2002, IEEE Trans. Inf. Theory.

[14]  Thomas L. Marzetta,et al.  Unitary space-time modulation for multiple-antenna communications in Rayleigh flat fading , 2000, IEEE Trans. Inf. Theory.

[15]  Anirvan M. Sengupta,et al.  Capacity of multivariate channels with multiplicative noise: I.Random matrix techniques and large-N expansions for full transfer matrices , 2000, physics/0010081.

[16]  Andrea J. Goldsmith,et al.  Benefits of coding in a noncoherent massive SIMO system , 2015, 2015 IEEE International Conference on Communications (ICC).

[17]  Ibrahim C. Abou-Faycal,et al.  The capacity of discrete-time memoryless Rayleigh-fading channels , 2001, IEEE Trans. Inf. Theory.

[18]  Amos Lapidoth,et al.  The Fading Number of SIMO Fading Channels with Memory , 2004 .

[19]  Amir Dembo,et al.  Large Deviations Techniques and Applications , 1998 .

[20]  Elif Uysal-Biyikoglu,et al.  Optimization of Training and Scheduling in the Non-Coherent SIMO Multiple Access Channel , 2007, IEEE Journal on Selected Areas in Communications.

[21]  Thomas L. Marzetta,et al.  Noncooperative Cellular Wireless with Unlimited Numbers of Base Station Antennas , 2010, IEEE Transactions on Wireless Communications.

[22]  Ralf R. Müller,et al.  Massive Antenna Arrays with Low Front-End Hardware Complexity: An Enabling Technology for the Emerging Small Cell and Distributed Network Architectures , 2014, ArXiv.

[23]  Shlomo Shamai,et al.  Multiuser capacity in block fading with no channel state information , 2002, IEEE Trans. Inf. Theory.

[24]  Frank Ruskey,et al.  Generating Linear Extensions Fast , 1994, SIAM J. Comput..

[25]  Erik G. Larsson,et al.  Effect of oscillator phase noise on uplink performance of large MU-MIMO systems , 2012, 2012 50th Annual Allerton Conference on Communication, Control, and Computing (Allerton).

[26]  Kien T. Truong,et al.  Effects of channel aging in massive MIMO systems , 2013, Journal of Communications and Networks.

[27]  Nihar Jindal,et al.  Mutual Information of IID Complex Gaussian Signals on Block Rayleigh-Faded Channels , 2012, IEEE Trans. Inf. Theory.

[28]  Abbas Jamalipour,et al.  Wireless communications , 2005, GLOBECOM '05. IEEE Global Telecommunications Conference, 2005..