Title :
Coordination limits in MIMO networks
Author :
Tajer, Ali ; Wang, Xiaodong ; Poor, H. Vincent
Author_Institution :
Princeton Univ., Princeton, NJ, USA
fDate :
July 31 2011-Aug. 5 2011
Abstract :
Communication quality in interference-limited wireless networks depends heavily on the collective coordination among the users for mitigating the interference. Coordinating the users, viable through information exchange across the network, consumes communication resources and, therefore, is desired to be free of redundancy. This paper focuses on dense multi-cell multi-antenna networks and assesses the minimum coordination level that ensures achieving the optimal scaling law of the downlink sum-capacity of the network. It is demonstrated that exchanging a finite number of bits across the network, in the form of feedback and cooperation, suffices to achieve the optimal capacity scaling. This coordination level is considerably less than those required by the existing coordination strategies which necessitate exchanging infinitely many bits across the network. A constructive proof is provided.
Keywords :
MIMO communication; interference (signal); interference suppression; MIMO networks; collective coordination; communication quality; dense multicell multiantenna networks; downlink sum-capacity; information exchange; interference mitigation; interference-limited wireless networks; minimum coordination level; optimal capacity scaling; optimal scaling law; Aggregates; Base stations; Downlink; Interference; MIMO; Signal to noise ratio; Throughput;
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.2011.6034275