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Content Provider | IEEE Xplore Digital Library |
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Author | Diaz, J. Simeone, O. Somekh, O. Bar-Ness, Y. |
Copyright Year | 2006 |
Description | Author affiliation: Center for Wireless Communications and Signal Processing Research (CWCSPR), New Jersey Institute of Technology, Newark, NJ 07102, USA, Email: jordi.diaz@njit.edu (Diaz, J.) |
Abstract | The sum-capacity of the multi-antenna Gaussian broadcast channel is known to be achieved by Dirty Paper Coding techniques, that require full channel state information at the base station. It has been recently shown that a sum-rate having the same scaling law of the sum-capacity with respect to the number of users n for a fixed signal to noise ratio (i.e., M log log n where M is the number of transmitting antennas) can be achieved by using reduced feedback (or equivalently reduced channel state information at the transmitter). In particular, it has been proved that n real and n integer numbers are enough to guarantee the optimal scaling law. In this paper, the optimal scaling law of the sum-rate is shown to be achievable with an even smaller amount of feedback and, more precisely, with 1) n log2(M + 1) bits, if a deterministic feedback scheme is employed; 2) an average number of feedback bits that scales as M log2M log n with the number of users n, if a selective (random) feedback scheme is employed. |
Starting Page | 298 |
Ending Page | 301 |
File Size | 369680 |
Page Count | 4 |
File Format | |
ISBN | 142440035X |
DOI | 10.1109/ITW.2006.1633833 |
Language | English |
Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Publisher Date | 2006-03-13 |
Publisher Place | Uruguay |
Access Restriction | Subscribed |
Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Subject Keyword | Broadcasting Signal to noise ratio State feedback Transmitters Downlink Array signal processing Quantization Fading Broadcast technology Wireless communication |
Content Type | Text |
Resource Type | Article |
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