Name
Abstract | ||
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Abstract—We study the three-user multi-antenna Gaussian multiple-access channel (MAC) where prior to the transmission over the MAC the transmitters can communicate with each other over noise-free broadcast pipes of given capacities. We present the capacity region of this channel. Additionally, we also study the three-user multi-antenna Gaussian MAC with common,messages and present its capacity region. The main step in deriving these two capacity results consists in proving that Gaussian distributions maximize certain mutual information expressions under,multiple Markov constraints. Towards this end, a tool previously used in [3], [6], [7] is extended to the vector case and to multiple Markov conditions. I. I NTRODUCTION We study the three-user multi-antenna (MIMO) multiple- access channel (MAC), i.e., a scenario where three transmitters simultaneously wish to communicate,with a common,receiver and where the transmitters and the receiver are equipped with multiple antennas. We focus on the Gaussian MAC where the signal observed at the receiver is corrupted by additive white Gaussian noise. In this paper we consider two different such setups. The first setup represents a generalization of the two- user MAC with conferencing encoders in [1], [6] to three transmitters and multiple antennas at the transmitters/re ceiver. More specifically, in this first setup the three transmitters wish to transmit independent,messages,over a MIMO Gaussian MAC. Prior to each block of transmission the transmitters |
Year | DOI | Venue |
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2009 | 10.1109/ITWNIT.2009.5158575 | Volos |
Keywords | Field | DocType |
Gaussian channels,MIMO communication,Markov processes,channel capacity,multi-access systems,multifrequency antennas,MIMO MAC,channel capacity,multiple Markov constraint,noise-free broadcast,three-user multiantenna Gaussian multiple-access channel,transmitter | Markov process,Telecommunications,Computer science,Markov chain,Algorithm,MIMO,Communication channel,Theoretical computer science,Gaussian,Mutual information,Channel capacity,Encoding (memory) | Conference |
ISBN | Citations | PageRank |
978-1-4244-4536-3 | 9 | 0.67 |
References | Authors | |
2 | 2 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Michele A. Wigger | 1 | 74 | 4.13 |
| Gerhard Kramer | 2 | 445 | 34.21 |