Results 281 to 290 of about 1,363,653 (314)
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Beaconing in MIMO Broadcast Channels
Proceedings. (ICASSP '05). IEEE International Conference on Acoustics, Speech, and Signal Processing, 2005., 2006There 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
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Decomposing the MIMO broadcast channel
2010 48th Annual Allerton Conference on Communication, Control, and Computing (Allerton), 2010The 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
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Broadcast channels with confidential messages
IEEE Transactions on Information Theory, 1978Given 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
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2023 IEEE International Symposium on Information Theory (ISIT), 2023
Cao, Michael X. +3 more
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Cao, Michael X. +3 more
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Parallel relay broadcast channels
2010 IEEE International Symposium on Information Theory, 2010In 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.
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Control and Improvement of the Broadcast Channel
1977The 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
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Gaussian Broadcast Channel With Feedback
IEEE Transactions on Information Theory, 2008For a Gaussian broadcast channel, it is known that: the capacity region in general is enlarged in the presence of feedback from all the receivers; and in the physically degraded case, feedback does not enlarge the capacity region. It is shown that the capacity region of a two-user Gaussian broadcast channel (GBC) is enlarged even when the feedback is ...
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The capacity of a class of broadcast channels
IEEE Transactions on Information Theory, 1979The capacity region is established for those discrete memoryless broadcast channels p(y,z \mid x) for which I(X;Y) \geq I(X;Z) holds for all Input distributions. The capacity region for this class of channels resembles the capacity region for degraded message sets considered by Korner and Marton.
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IEEE Transactions on Information Theory, 1990
An inner bound to the capacity region for identification via a broadcast channel with feedback and a soft outer bound to the capacity region of a general broadcast channel without feedback are established, allowing randomized encoding in both cases.
Bart Verboven, Edward C. van der Meulen
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An inner bound to the capacity region for identification via a broadcast channel with feedback and a soft outer bound to the capacity region of a general broadcast channel without feedback are established, allowing randomized encoding in both cases.
Bart Verboven, Edward C. van der Meulen
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A Division-Based Broadcasting Method Considering Channel Bandwidths for NVoD Services
IEEE Transactions on Broadcasting, 2013Tomoki Yoshihisa +2 more
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