PROJECT TITLE :

Multiuser Detection via Compressive Sensing

ABSTRACT:

In this paper, we tend to consider a multiuser detection technique when the signal sparsity is changing over time. The key ingredient of our methodology could be a clever switching between the CS reconstruction algorithm and classical detection relying on the sparsity level of the signals being detected. Since none of these approaches is uniformly better in a very situation where the sparsity level is varying, proposed switching algorithm can effectively mix the merits of each. We have a tendency to show that the proposed switching algorithm provides substantial performance gain over individual algorithms within the multiuser detection of CDMA downlink.


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