Large-system analysis of multiuser detection with an unknown number of users.

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• Adria Tauste Campo (Department of Engineering)
• Monday 21 July 2008, 16:00-16:30
• MR3, CMS.

If you have a question about this talk, please contact James Cruise.

Session 4, Cambridge Networks and Communication Meeting

We study multiuser detection where the number of users accessing the channel is unknown by the receiver. In this environment user’s activity must be estimated together with other parameters such as data, power, location, etc. In this paper, we are interested in the performance of such systems when the number of potential users is large. Under some technical assumptions, statistical-physics methodologies can be used for the purpose of determining the macroscopic performance measures of the detector (e.g., multiuser and spectral efficiency). An expansion of the minimum mean-squared error for large signal-to-noise ratio for the joint estimation of user’s activity and their data allows us to analyze asymptotically the user-and-data MAP detector in terms of multiuser efficiency and maximum system load for different quality demands.

This talk is part of the Cambridge Networks and Communications meeting series.

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