NDLI: On the throughput of opportunistic beamforming with imperfect CSI

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On the throughput of opportunistic beamforming with imperfect CSI

Content Provider	ACM Digital Library
Author	Vakili, Ali Hassibi, Babak Dana, Amir F.
Abstract	The throughput of a multiple-antenna broadcast channel highly depends on the channel state information (CSI) at the transmitter side. However, due to the time variant nature of wireless channels, having perfect knowledge of the underlying links appears to be a questionable assumption, especially when the number of users and/or antennas increases. Although it can become computationally prohibitive in practice, theoretically any point on the capacity region of a Gaussian broadcast channel is achievable using dirty paper coding (DPC) if full CSI is available. The aforementioned drawbacks of DPC have motivated the development of simpler transmission strategies that require little CSI and yetcan deliver a large portion of the capacity. One such scheme is opportunistic beam-forming that is shown to be able to achieve the same throughput scaling as that of DPC for the regime of large number of users. In this paper we investigate the performance of opportunistic beam-forming when the perfect channel state information is not available; i.e., the channel estimation is erroneous. We will show that in order to maximize the throughput (sum rate capacity), the transmitter needs to back off the rate than what is suggested by the estimated channel state. We obtain the optimal back off and show that by using this modified opportunistic scheme, the same multiuser gain can be achieved.
Starting Page	19
Ending Page	23
Page Count	5
File Format	PDF
ISBN	9781595936950
DOI	10.1145/1280940.1280945
Language	English
Publisher	Association for Computing Machinery (ACM)
Publisher Date	2007-08-12
Publisher Place	New York
Access Restriction	Subscribed
Subject Keyword	Estimation error Mimo systems Broadcast channels Sum rate capacity Multi-user diversity Channel state information (csi)
Content Type	Text
Resource Type	Article

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