DocumentCode :
960505
Title :
Capacity of a Class of Cognitive Radio Channels: Interference Channels With Degraded Message Sets
Author :
Wu, Wei ; Vishwanath, Sriram ; Arapostathis, Ari
Author_Institution :
Univ. of Texas at Austin, Austin
Volume :
53
Issue :
11
fYear :
2007
Firstpage :
4391
Lastpage :
4399
Abstract :
This correspondence is motivated by two different scenarios. The first is a cognitive radio system where a cognitive radio knows a ldquodumbrdquo radio´s message and the second is a sensor network in a correlated field where sensors possessing a nested message structure assist one another´s information transmission. Both scenarios are modeled using the framework of discrete memoryless interference channels with degraded message sets (IFC-DMS), a setting where one of the two transmitters in an interference channel knows both the messages to be conveyed to the receivers. Both inner and outer bounds are provided for a class of IFC-DMS channels. The case of the Gaussian interference channels with degraded message sets is also investigated. In this case, achievability and converse arguments are presented for a class of ldquoweakrdquo interference channels, resulting in a characterization of this class´ capacity region.
Keywords :
channel capacity; cognitive radio; interference; radio receivers; radio transmitters; wireless sensor networks; Gaussian interference channels; cognitive radio channels; degraded message sets; discrete memoryless interference channels; dumb radio message; nested message structure; radio receivers; radio transmitters; sensor network; Broadcasting; Cognitive radio; Degradation; Event detection; Information theory; Interference channels; Radio transmitters; Receivers; Sensor systems; Wireless networks; Cognitive radio; dirty-correspondence coding; interference channel; network information theory;
fLanguage :
English
Journal_Title :
Information Theory, IEEE Transactions on
Publisher :
ieee
ISSN :
0018-9448
Type :
jour
DOI :
10.1109/TIT.2007.907436
Filename :
4373439
Link To Document :
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