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Linear sum capacity for Gaussian multiple access channel with feedback

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4 Author(s)
Ehsan Ardestanizadeh ; Department of Electrical and Computer Engineering, University of California, San Diego, La Jolla, 92093-0407, USA ; Michèle A. Wigger ; Young-Han Kim ; Tara Javidi

This paper studies the class of generalized linear feedback codes for additive white Gaussian noise multiple access channel. This class includes (nonlinear) nonfeedback codes at one extreme and linear feedback codes by Schalkwijk and Kailath, Ozarow, and Kramer at the other extreme. The linear sum capacity CL(P), the maximum sum-rate achieved by the generalized linear feedback codes, is characterized under symmetric block power constraints P for all the senders. In particular, it is shown that the Kramer linear code achieves CL(P). Based on the properties of the conditional maximal correlation, an extension of the Hirschfeld-Gebelein-Renyi maximal correlation, it is conjectured that Kramer's linear code achieves not only the linear sum capacity, but also the general sum capacity, i.e., the maximum sum-rate achieved by arbitrary feedback codes.

Published in:

2010 IEEE International Symposium on Information Theory

Date of Conference:

13-18 June 2010