DocumentCode
1975436
Title
Channel prediction and feedback in multiuser broadcast channels
Author
Tenenbaum, Adam J. ; Adve, Raviraj S. ; Yuk, Young-Soo
Author_Institution
Dept. of Electr. & Comput. Eng., Univ. of Toronto, Toronto, ON
fYear
2009
fDate
13-15 May 2009
Firstpage
67
Lastpage
70
Abstract
Multiuser linear precoding requires channel state information (CSI) at the transmitter. In the absence of channel reciprocity between the uplink and downlink, a feedback mechanism must be designed to communicate CSI estimates from the mobile receivers to the transmitter. Limiting the total feedback rate is an important design goal for multiuser multiple-input, multiple-output systems, as the feedback overhead can potentially consume a large percentage of system resources, especially when the total number of antennas is large. In this paper, we focus on the challenges of feedback delay and reducing feedback rate; we predict N-frames-ahead, based on the one-step Kalman predictor, and derive a theoretical expression for the prediction mean squared error (MSE). We present simulation results that illustrate a tradeoff between prediction MSE and computational complexity, and also demonstrate situations where adaptive delta modulation (ADM) can be used to exploit temporal redundancy and reduce the required feedback rate.
Keywords
MIMO communication; computational complexity; feedback; mean square error methods; multiuser channels; precoding; Kalman predictor; channel feedback; channel prediction; channel reciprocity; channel state information; computational complexity; feedback mechanism; multiuser broadcast channels; multiuser linear precoding; multiuser multiple-input, multiple-output systems; prediction mean squared error; Antenna feeds; Broadcasting; Channel state information; Computational modeling; Delay; Downlink; Feedback; Kalman filters; Predictive models; Transmitters;
fLanguage
English
Publisher
ieee
Conference_Titel
Information Theory, 2009. CWIT 2009. 11th Canadian Workshop on
Conference_Location
Ottawa, ON
Print_ISBN
978-1-4244-3400-8
Electronic_ISBN
978-1-4244-3401-5
Type
conf
DOI
10.1109/CWIT.2009.5069523
Filename
5069523
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