DocumentCode :
3608153
Title :
Multi-user Cognitive Interference Channels: A Survey and New Capacity Results
Author :
Maamari, Diana ; Tuninetti, Daniela ; Devroye, Natasha
Author_Institution :
Department of Electrical and Computer Engineering, University of Illinois at Chicago (UIC), Chicago, IL, USA
Volume :
1
Issue :
1
fYear :
2015
fDate :
3/1/2015 12:00:00 AM
Firstpage :
29
Lastpage :
44
Abstract :
This paper provides a survey of the state-of-the-art information theoretic analysis for overlay multi-user (more than two pairs) cognitive networks and reports new capacity results. In an overlay scenario, cognitive/secondary users share the same frequency band with licensed/primary users to efficiently exploit the spectrum. They do so without degrading the performance of the incumbent users, and may possibly even aid in transmitting their messages as cognitive users are assumed to possess the message(s) of primary user(s) and possibly other cognitive user(s). The survey begins with a short overview of the two-user overlay cognitive interference channel. The evolution from two-user to three-user overlay cognitive interference channels is described next, followed by generalizations to multi-user (arbitrary number of users) cognitive networks. The rest of the paper considers K -user cognitive interference channels with different message knowledge structures at the transmitters. Novel capacity inner and outer bounds are proposed. Channel conditions under which the bounds meet, thus, characterizing the information theoretic capacity of the channel, for both linear deterministic and Gaussian channel models, are derived. The results show that for certain channel conditions distributed cognition, or having a cumulative message knowledge structure at the nodes, may not be worth the overhead as (approximately) the same capacity can be achieved by having only one global cognitive user whose role is to manage all the interference in the network. This paper concludes with future research directions.
Keywords :
Channel models; Encoding; Interference channels; Receivers; Signal to noise ratio; Transmitters; Cognitive networks; Gaussian channel; generalized degrees of freedom; interference channels; linear deterministic channel; sum-capacity;
fLanguage :
English
Journal_Title :
Cognitive Communications and Networking, IEEE Transactions on
Publisher :
ieee
ISSN :
2332-7731
Type :
jour
DOI :
10.1109/TCCN.2015.2488633
Filename :
7296629
Link To Document :
بازگشت