Degrees of Freedom Regions of Two-User MIMO Z and Full Interference Channels: The Benefit of Reconfigurable Antennas

We study the degrees of freedom (DoF) regions of two-user multiple-input multiple-output Z and full interference channels in this paper. We assume that the receivers always have perfect channel state information. We first derive the DoF region of Z interference channel with channel state information at transmitter (CSIT). For full interference channel without CSIT, the DoF region has been fully characterized recently and it is shown that the previously known outer bound is not achievable. In this paper, we investigate the no-CSIT case further by assuming that one transmitter has the ability of antenna mode switching. We obtain the DoF region as a function of the number of available antenna modes and reveal the incremental gain in DoF that each additional antenna mode can bring. It is shown that, in certain cases, the reconfigurable antennas can increase the DoF. In these cases, the DoF region is maximized when the number of modes is at least equal to the number of receive antennas at the corresponding receiver, in which case the previous outer bound is achieved. In all cases, we propose systematic constructions of the beamforming and nulling matrices for achieving the DoF region. The constructions bear an interesting space-frequency coding interpretation.

[1]  Shlomo Shamai,et al.  On Degrees of Freedom Region of MIMO Networks without CSIT , 2009, ArXiv.

[2]  Hiroshi Sato,et al.  The capacity of the Gaussian interference channel under strong interference , 1981, IEEE Trans. Inf. Theory.

[3]  Max H. M. Costa,et al.  On the Gaussian interference channel , 1985, IEEE Trans. Inf. Theory.

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

[5]  Dongning Guo,et al.  Ergodic Fading One-sided Interference Channels without State Information at Transmitters , 2009, ArXiv.

[6]  Dongning Guo,et al.  The Degrees of Freedom of MIMO Interference Channels without State Information at Transmitters , 2010, ArXiv.

[7]  Dongning Guo,et al.  The Degrees of Freedom of Isotropic MIMO Interference Channels Without State Information at the Transmitters , 2012, IEEE Transactions on Information Theory.

[8]  Shlomo Shamai,et al.  Degrees of Freedom Region of the MIMO $X$ Channel , 2008, IEEE Transactions on Information Theory.

[9]  Gerhard Kramer,et al.  Outer bound and noisy-interference sum-rate capacity for symmetric Gaussian interference channels , 2008, 2008 42nd Annual Conference on Information Sciences and Systems.

[10]  Venugopal V. Veeravalli,et al.  Sum Capacity of MIMO Interference Channels in the Low Interference Regime , 2011, IEEE Transactions on Information Theory.

[11]  Aydano B. Carleial,et al.  Interference channels , 1978, IEEE Trans. Inf. Theory.

[12]  Suhas N. Diggavi,et al.  Wireless Network Information Flow: A Deterministic Approach , 2009, IEEE Transactions on Information Theory.

[13]  Syed Ali Jafar,et al.  Aiming Perfectly in the Dark-Blind Interference Alignment Through Staggered Antenna Switching , 2010, IEEE Transactions on Signal Processing.

[14]  Syed A. Jafar Exploiting Heterogeneous Channel Coherence Intervals for Blind Interference Alignment , 2011 .

[15]  Abhay Parekh,et al.  The Approximate Capacity of the Many-to-One and One-to-Many Gaussian Interference Channels , 2008, IEEE Transactions on Information Theory.

[16]  Hua Wang,et al.  Gaussian Interference Channel Capacity to Within One Bit , 2007, IEEE Transactions on Information Theory.

[17]  V. Veeravalli,et al.  On the sum capacity of MIMO interference channel in the low interference regime , 2008, 2008 42nd Asilomar Conference on Signals, Systems and Computers.

[18]  Dongning Guo,et al.  Ergodic Fading Z-Interference Channels Without State Information at Transmitters , 2011, IEEE Transactions on Information Theory.

[19]  Andrea J. Goldsmith,et al.  Capacity limits of MIMO channels , 2003, IEEE J. Sel. Areas Commun..

[20]  Gerhard Kramer,et al.  A New Outer Bound and the Noisy-Interference Sum–Rate Capacity for Gaussian Interference Channels , 2007, IEEE Transactions on Information Theory.

[21]  Syed Ali Jafar,et al.  Exploiting Channel Correlations - Simple Interference Alignment Schemes with No CSIT , 2009, 2010 IEEE Global Telecommunications Conference GLOBECOM 2010.

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

[23]  Syed Ali Jafar,et al.  Interference Alignment and Degrees of Freedom of the $K$-User Interference Channel , 2008, IEEE Transactions on Information Theory.

[24]  Dongning Guo,et al.  Isotropic MIMO interference channels without CSIT: The loss of degrees of freedom , 2009, 2009 47th Annual Allerton Conference on Communication, Control, and Computing (Allerton).

[25]  Vahid Tarokh,et al.  On the degrees-of-freedom of the MIMO interference channel , 2008, 2008 42nd Annual Conference on Information Sciences and Systems.

[26]  David Tse,et al.  The two-user Gaussian interference channel: a deterministic view , 2008, Eur. Trans. Telecommun..

[27]  Max H. M. Costa,et al.  The capacity region of a class of deterministic interference channels , 1982, IEEE Trans. Inf. Theory.

[28]  H. Vincent Poor,et al.  Capacity Regions and Sum-Rate Capacities of Vector Gaussian Interference Channels , 2009, IEEE Transactions on Information Theory.

[29]  H. Vincent Poor,et al.  MIMO Z-interference channels: Capacity under strong and noisy interference , 2009, 2009 Conference Record of the Forty-Third Asilomar Conference on Signals, Systems and Computers.

[30]  Nikos D. Sidiropoulos,et al.  Almost-sure identifiability of multidimensional harmonic retrieval , 2001, IEEE Trans. Signal Process..

[31]  Amir K. Khandani,et al.  Capacity bounds for the Gaussian Interference Channel , 2008, 2008 IEEE International Symposium on Information Theory.

[32]  Venugopal V. Veeravalli,et al.  Sum capacity of the Gaussian interference channel in the low interference regime , 2008, 2008 Information Theory and Applications Workshop.

[33]  Aydano B. Carleial,et al.  A case where interference does not reduce capacity (Corresp.) , 1975, IEEE Trans. Inf. Theory.