Title :
The generalized degrees of freedom of the MIMO interference channel
Author :
Karmakar, Sanjay ; Varanasi, Mahesh K.
Author_Institution :
Dept. of Electr., Comput., & Energy Eng., Univ. of Colorado, Boulder, CO, USA
fDate :
July 31 2011-Aug. 5 2011
Abstract :
The generalized degrees of freedom (GDoF) region of the MIMO Gaussian interference channel is obtained for the general case with an arbitrary number of antennas at each node and where the SNR and interference-to-noise ratios (INRs) vary with arbitrary exponents to a nominal SNR. The GDoF region reveals various insights through the joint dependence of optimal interference management techniques at high SNR on the SNR exponents that determine the relative strengths of direct-link SNRs and cross-link INRs and the numbers of antennas at the four terminals. For instance, it permits an in-depth look at the issue of rate-splitting and partial decoding at high SNR and it reveals that, unlike in the SISO case, treating interference as noise is not GDoF optimal always even in the very weak interference regime. Moreover, while the DoF-optimal strategy that relies just on transmit/receive zero-forcing beam-forming and time-sharing is not GDoF optimal (and thus has an unbounded gap to capacity) the precise characterization of the very strong interference regime, where single-user DoF performance can be achieved simultaneously for both users, depends on the relative numbers of antennas at the four terminals and thus deviates from what it is in the SISO case. For asymmetric numbers of antennas at the four nodes the shape of the symmetric GDoF curve can be a “distorted W” curve to the extent that for certain MIMO ICs it is a “V” curve.
Keywords :
MIMO communication; antenna arrays; array signal processing; decoding; interference suppression; radiofrequency interference; wireless channels; GDoF region; INR; MIMO Gaussian interference channel; MIMO IC; SNR; antenna; generalized degrees of freedom region; interference-to-noise ratio; optimal interference management technique; partial decoding; rate-splitting; single-user DoF performance; transmit-receive zero-forcing beamforming; Encoding; Integrated circuits; Interference channels; MIMO; Signal to noise ratio;
Conference_Titel :
Information Theory Proceedings (ISIT), 2011 IEEE International Symposium on
Conference_Location :
St. Petersburg
Print_ISBN :
978-1-4577-0596-0
Electronic_ISBN :
2157-8095
DOI :
10.1109/ISIT.2011.6033948