Title :
Interference Mitigation Through Limited Receiver Cooperation
Author :
Wang, I-Hsiang ; Tse, David N C
Author_Institution :
Dept. of EECS, Univ. of California at Berkeley, Berkeley, CA, USA
fDate :
5/1/2011 12:00:00 AM
Abstract :
Interference is a major issue limiting the performance in wireless networks. Cooperation among receivers can help mitigate interference by forming distributed MIMO systems. The rate at which receivers cooperate, however, is limited in most scenarios. How much interference can one bit of receiver cooperation mitigate? In this paper, we study the two-user Gaussian interference channel with conferencing decoders to answer this question in a simple setting. We identify two regions regarding the gain from receiver cooperation: linear and saturation regions. In the linear region, receiver cooperation is efficient and provides a degrees-of-freedom gain, which is either one cooperation bit buys one over-the-air bit or two cooperation bits buy one over-the-air bit. In the saturation region, receiver cooperation is inefficient and provides a power gain, which is bounded regardless of the rate at which receivers cooperate. The conclusion is drawn from the characterization of capacity region to within two bits/s/Hz, regardless of channel parameters. The proposed strategy consists of two parts: 1) the transmission scheme, where superposition encoding with a simple power split is employed and 2) the cooperative protocol, where one receiver quantize-bin-and-forwards its received signal and the other after receiving the side information decode-bin-and-forwards its received signal.
Keywords :
MIMO communication; cooperative communication; decoding; interference (signal); radio receivers; MIMO systems; conferencing decoders; degrees-of-freedom gain; interference mitigation; limited receiver cooperation; mitigate interference; two-user Gaussian interference channel; wireless networks; Decoding; Encoding; Gain; Interference channels; Receivers; Transmitters; Capacity to within a bounded gap; distributed MIMO system; interference management; receiver cooperation;
Journal_Title :
Information Theory, IEEE Transactions on
DOI :
10.1109/TIT.2011.2120290