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Trellis precoding for the broadcast channel

GLOBECOM'01. IEEE Global Telecommunications Conference (Cat. No.01CH37270), 2002
This paper considers the vector Gaussian broadcast channel where a single transmitter with multiple antennas sends independent information to multiple receivers. An achievable rate region is derived by decomposing the broadcast channel into a series of single-user channels with non-causal side information.
Wei Yu 0001, John M. Cioffi
openaire   +1 more source

Broadcast-relay-broadcast channels

2010 Conference Record of the Forty Fourth Asilomar Conference on Signals, Systems and Computers, 2010
In this paper, we study the achievable rate regions of broadcast-relay-broadcast channels. The source broadcasts information to the users. A number of parallel relays are used to assist users. Each relay receives information from the source and forwards information to users. The relays also broadcast the forwarded information to all users.
openaire   +1 more source

Decomposing the MIMO broadcast channel

2010 48th Annual Allerton Conference on Communication, Control, and Computing (Allerton), 2010
The problem of transmitting a common message over a multiple-input multiple-output (MIMO) Gaussian broadcast channel with multiple receivers is well understood in terms of capacity. Nevertheless, existing optimal (capacity-achieving) schemes for this scenario require joint decoding of the multiple streams transmitted, entailing high computational ...
Anatoly Khina, Yuval Kochman, Uri Erez
openaire   +1 more source

Beaconing in MIMO Broadcast Channels

Proceedings. (ICASSP '05). IEEE International Conference on Acoustics, Speech, and Signal Processing, 2005., 2006
There is a need to broadcast identical information to multiple users in a network. Examples include sending a beacon signal from an UAV to multiple sensors in a surveillance region and, in the context of ad hoc networks, multicasting. This paper studies the information theoretic aspects of multiple-input multiple-output (MIMO) beaconing where multiple ...
Michael J. Gans, Biao Chen
openaire   +1 more source

Broadcast channels with confidential messages

IEEE Transactions on Information Theory, 1978
Given two discrete memoryless channels (DMC's) with a common input, it is desired to transmit private messages to receiver 1 rate R_{1} and common messages to both receivers at rate R_{o} , while keeping receiver 2 as ignorant of the private messages as possible.
CSISZAR I., KORNER, JANOS
openaire   +3 more sources

The Throughput of Packet Broadcasting Channels

IEEE Transactions on Communications, 1977
Packet broadcasting is a form of data communications architecture which can combine the features of packet switching with those of broadcast channels for data communication networks. Much of the basic theory of packet broadcasting has been presented as a byproduct in a sequence of papers with a distinctly practical emphasis.
openaire   +1 more source

On wide-band broadcast channels

IEEE Transactions on Information Theory, 2003
Several models of wide-band broadcast communication scenarios are studied with an emphasis on conditions under which, as the bandwidth tends to infinity, time sharing is asymptotically optimal. The models include the Gaussian channel, the Poisson channel, the "very noisy" channel, and the average-power limited fading channel.
Amos Lapidoth   +2 more
openaire   +1 more source

Parallel relay broadcast channels

2010 IEEE International Symposium on Information Theory, 2010
In this paper, we study the achievable rate regions of parallel relay broadcast channels. We present two system models, the parallel unshared-relay broadcast channel and the parallel shared-relay broadcast channel. In the first system, each relay node is peculiar to one of the users and does not assist any other user.
openaire   +1 more source

Broadcast Channel Simulation

2023 IEEE International Symposium on Information Theory (ISIT), 2023
Cao, Michael X.   +3 more
openaire   +1 more source

Control and Improvement of the Broadcast Channel

1977
The optimal control of the broadcast channel requires the knowledge of a non-measurable state variable, the number N of blocked terminals. After presenting some simulation results with N assumed to be known, we propose an adaptive control policy which we compare with the optimal control using a least squares estimator of N.
Banh Tri An, Erol Gelenbe
openaire   +1 more source

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