NDLI: Interference Channels With Common Information

Content Provider	IEEE Xplore Digital Library
Author	Jinhua Jiang Yan Xin Garg, H.K.
Copyright Year	1963
Abstract	In this paper, the interference channel with common information (ICC), in which two senders need deliver not only private messages but also certain common messages to their corresponding receivers, is investigated. An achievable rate region for such a channel is obtained by applying a superposition coding scheme that consists of successive encoding and simultaneous decoding. It is shown that the derived achievable rate region includes or extends several existing results for the interference channels with or without common information. The rate region is then specialized to a class of ICCs in which one sender has no private information to transmit, and a class of deterministic interference channels with common information (DICCs). In particular, the derived rate region is found to be the capacity region for this class of DICCs. Last, the achievable rate region derived for the discrete memoryless ICC is extended to the Gaussian case, in which a numerical example is provided to illustrate the improvement of our rate region over an existing result.
Sponsorship	IEEE Information Theory Society
Starting Page	171
Ending Page	187
Page Count	17
File Size	463957
File Format	PDF
ISSN	00189448
Volume Number	54
Issue Number	1
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2008-01-01
Publisher Place	U.S.A.
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Interference channels Decoding Integrated circuit modeling Degradation Communication networks Silicon carbide Additives Acoustic materials Signal processing superposition coding Capacity region common information interference channel multiple-access channel (MAC) simultaneous decoding
Content Type	Text
Resource Type	Article
Subject	Computer Science Applications Library and Information Sciences Information Systems

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