DocumentCode :
753987
Title :
Capacity Theorems for the “Z” Channel
Author :
Chong, Hon-Fah ; Motani, Mehul ; Garg, Hari Krishna
Author_Institution :
Dept. of Electr. & Comput. Eng., Nat. Univ. of Singapore
Volume :
53
Issue :
4
fYear :
2007
fDate :
4/1/2007 12:00:00 AM
Firstpage :
1348
Lastpage :
1365
Abstract :
We consider the two-user "Z" channel (ZC), where there are two senders and two receivers. One of the senders transmits information to its intended receiver (without interfering with the unintended receiver), while the other sender transmits information to both receivers. The complete characterization of the discrete memoryless ZC remains unknown to date. For the Gaussian ZC, the capacity has only been established for a crossover link gain of 1. In this work, we study both the discrete memoryless ZC and the Gaussian ZC. We first establish achievable rates for the general discrete memoryless ZC. The coding strategy uses rate-splitting and superposition coding at the sender with information for both receivers. At the receivers, we use joint decoding. We then specialize the rates obtained to two different types of degraded discrete memoryless ZCs and also derive respective outer bounds to their capacity regions. We show that as long as a certain condition is satisfied, the achievable rate region is the capacity region for one type of degraded discrete memoryless ZC. The results are then extended to the two-user Gaussian ZC with different crossover link gains. We determine an outer bound to the capacity region of the Gaussian ZC with strong crossover link gain and establish the capacity region for moderately strong crossover link gain
Keywords :
Gaussian channels; channel capacity; channel coding; decoding; discrete systems; memoryless systems; receivers; Gaussian ZC; Z channel; capacity theorem; decoding; discrete memoryless ZC; rate-splitting coding; receiver; superposition coding; Broadcasting; Decoding; Degradation; Downlink; Information theory; Interference channels; Mobile ad hoc networks; Multiuser channels; Relays; Wireless sensor networks; “Z” channel (ZC); Gaussian “Z” channel (ZC); rate-splitting; simultaneous decoding; superposition coding;
fLanguage :
English
Journal_Title :
Information Theory, IEEE Transactions on
Publisher :
ieee
ISSN :
0018-9448
Type :
jour
DOI :
10.1109/TIT.2006.890779
Filename :
4137876
Link To Document :
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