Coherence Disparity in Broadcast and Multiple Access Channels

Individual links in a wireless network may experience unequal fading coherence times due to differences in mobility or scattering environment. This paper studies broadcast and multiple access channels whose nodes experience unequal fading block lengths. Channel state information (CSI) is not available at the transmitters, and the cost of acquiring CSI at the receivers is fully accounted for in the degrees of freedom. In the broadcast channel, the method of product superposition is employed to find the achievable degrees of freedom. When the number of symbols in any fading block is at least twice the number of antennas at any active node and the fading block lengths have integer ratios, achievable degrees of freedom meet the upper bound in four cases: when the transmitter has fewer antennas than the receivers, when all receivers have the same number of antennas, when the coherence time of one receiver is much shorter than all others, or when all receivers have identical block fading length. The degrees of freedom region of the broadcast under identical coherence times was also previously unknown and is settled by the results of this paper. The disparity of coherence times leads to gains that are distinct from those arising from other techniques, such as spatial multiplexing or multiuser diversity. This new class of gains is denoted coherence diversity. The inner bounds in the broadcast channel are further extended to fading block lengths of arbitrary ratio or alignment. In addition, in the multiple access channel with unequal coherence times, achievable and outer bounds on the degrees of freedom are obtained.

[1]  Ninoslav Marina Rayleigh Fading Multiple Access Channel Without Channel State Information , 2004, ICT.

[2]  Shlomo Shamai,et al.  On Degrees of Freedom Region of MIMO Networks Without Channel State Information at Transmitters , 2012, IEEE Transactions on Information Theory.

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

[4]  Patrick P. Bergmans,et al.  Random coding theorem for broadcast channels with degraded components , 1973, IEEE Trans. Inf. Theory.

[5]  Abbas El Gamal,et al.  Network Information Theory , 2021, 2021 IEEE 3rd International Conference on Advanced Trends in Information Theory (ATIT).

[6]  Shlomo Shamai,et al.  On the Capacity of Fading MIMO Broadcast Channels with Imperfect Transmitter Side-Information , 2006, ArXiv.

[7]  Aria Nosratinia,et al.  Coherent, non-coherent, and mixed-CSIR broadcast channels: Multiuser degrees of freedom , 2014, 2014 IEEE International Symposium on Information Theory.

[8]  Patrick P. Bergmans,et al.  A simple converse for broadcast channels with additive white Gaussian noise (Corresp.) , 1974, IEEE Trans. Inf. Theory.

[9]  Paul de Kerret,et al.  On the degrees of freedom of the K-user time correlated broadcast channel with delayed CSIT , 2013, 2013 IEEE International Symposium on Information Theory.

[10]  Syed Ali Jafar,et al.  Aligned Image Sets under Channel Uncertainty: Settling a Conjecture by Lapidoth, Shamai and Wigger on the Collapse of Degrees of Freedom under Finite Precision CSIT , 2014, ArXiv.

[11]  Aria Nosratinia,et al.  Product Superposition for MIMO Broadcast Channels , 2012, IEEE Transactions on Information Theory.

[12]  Babak Hassibi,et al.  How much training is needed in multiple-antenna wireless links? , 2003, IEEE Trans. Inf. Theory.

[13]  Syed Ali Jafar,et al.  Optimal Use of Current and Outdated Channel State Information: Degrees of Freedom of the MISO BC with Mixed CSIT , 2012, IEEE Communications Letters.

[14]  Andrea J. Goldsmith,et al.  Isotropic fading vector broadcast Channels:The scalar upper bound and loss in degrees of freedom , 2005, IEEE Transactions on Information Theory.

[15]  Shlomo Shamai,et al.  On the degrees-of-freedom of the 3-user MISO broadcast channel with hybrid CSIT , 2014, 2014 IEEE International Symposium on Information Theory.

[16]  David Gesbert,et al.  The Degrees of Freedom Region of Temporally Correlated MIMO Networks With Delayed CSIT , 2012, IEEE Transactions on Information Theory.

[17]  Shlomo Shamai,et al.  The Capacity Region of the Gaussian Multiple-Input Multiple-Output Broadcast Channel , 2006, IEEE Transactions on Information Theory.

[18]  Jun Sun,et al.  On the Degrees of Freedom region of general MIMO Broadcast Channel with mixed CSIT , 2013, 2013 IEEE International Symposium on Information Theory.

[19]  Mahesh K. Varanasi,et al.  The Degrees of Freedom Regions of MIMO Broadcast, Interference, and Cognitive Radio Channels with No CSIT , 2009, ArXiv.

[20]  Shlomo Shamai,et al.  On the Synergistic Benefits of Alternating CSIT for the MISO Broadcast Channel , 2013, IEEE Transactions on Information Theory.

[21]  Syed Ali Jafar,et al.  Blind Interference Alignment , 2012, IEEE Journal of Selected Topics in Signal Processing.

[22]  Petros Elia,et al.  Degrees-of-Freedom Region of the MISO Broadcast Channel with General Mixed-CSIT , 2012, ArXiv.

[23]  Thomas L. Marzetta,et al.  Capacity of a Mobile Multiple-Antenna Communication Link in Rayleigh Flat Fading , 1999, IEEE Trans. Inf. Theory.

[24]  Thomas M. Cover,et al.  Network Information Theory , 2001 .

[25]  Shyam Ranganathan,et al.  Calculating and Achieving Capacity on the Unknown Fading MIMO Channel , 2006, 2006 IEEE International Symposium on Information Theory.

[26]  Petros Elia,et al.  Toward the Performance Versus Feedback Tradeoff for the Two-User MISO Broadcast Channel , 2013, IEEE Transactions on Information Theory.

[27]  Mahesh K. Varanasi,et al.  The Degrees of Freedom Regions of Two-User and Certain Three-User MIMO Broadcast Channels with Delayed CSIT , 2010, 1101.0306.

[28]  Mohammad Ali Maddah-Ali,et al.  Completely Stale Transmitter Channel State Information is Still Very Useful , 2010, IEEE Transactions on Information Theory.

[29]  Petros Elia,et al.  Can imperfect delayed CSIT be as useful as perfect delayed CSIT? DoF analysis and constructions for the BC , 2012, 2012 50th Annual Allerton Conference on Communication, Control, and Computing (Allerton).

[30]  Hiroshi Sato,et al.  An outer bound to the capacity region of broadcast channels (Corresp.) , 1978, IEEE Trans. Inf. Theory.

[31]  Aria Nosratinia,et al.  Coherent Product Superposition for Downlink Multiuser MIMO , 2015, IEEE Transactions on Wireless Communications.

[32]  Mahesh K. Varanasi,et al.  On the DoF Region of the K-user MISO Broadcast Channel with Hybrid CSIT , 2013, ArXiv.

[33]  János Körner,et al.  Images of a set via two channels and their role in multi-user communication , 1977, IEEE Trans. Inf. Theory.

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