Title :
Distributed interference alignment and power control for wireless MIMO interference networks with noisy channel state information
Author :
Farhadi, Hamid ; Zaidi, A.A. ; Fischione, Carlo ; Chao Wang ; Skoglund, Mikael
Author_Institution :
ACCESS Linnaeus Centre, KTH R. Inst. of Technol., Stockholm, Sweden
Abstract :
This paper considers a multi-input multi-output (MIMO) interference network in which each transmitter intends to communicate with its dedicated receiver at a certain fixed rate. It is known that when perfect CSI is available at each terminal, the interference alignment technique can be applied, to align the interference signals at each receivers in a subspace independent of the desired signal subspace. The impact of interference can hence be eliminated. In practice, however, terminals in general can acquire only noisy CSI. Interference alignment cannot be perfectly performed to avoid interference leakage in the signal subspace. Thus, the quality of each communication link depends on the transmission power of the unintended transmitters. To solve this problem, we propose an iterative algorithm to perform stochastic power control and transceiver design based on only noisy local CSI. The transceiver design is conducted based on the interference alignment concept, and the power control seeks solutions of efficiently assigning transmit powers to provide successful communications for all transmitter-receiver pairs.
Keywords :
MIMO communication; interference suppression; iterative methods; power control; radio networks; radio transceivers; radiofrequency interference; telecommunication control; communication link quality; distributed interference alignment technique; interference leakage avoidance; interference signals; iterative algorithm; multiinput multioutput interference network; noisy channel state information; noisy local CSI; perfect CSI; signal subspace; stochastic power control; transceiver design; transmission power; transmitter-receiver pairs; wireless MIMO interference networks; Array signal processing; Covariance matrices; Interference; MIMO; Power control; Receivers; Vectors;
Conference_Titel :
Communications and Networking (BlackSeaCom), 2013 First International Black Sea Conference on
Conference_Location :
Batumi
Electronic_ISBN :
978-1-4799-0857-8
DOI :
10.1109/BlackSeaCom.2013.6623375