The capacity of direct-sequence code division multiple access systems is interference limited, particularly by multiple-access interference produced by other co-channel users. The optimum multi-user receiver calculates the maximum-likelihood ratio of the detected data for all users simultaneously, but it has a complexity that grows exponentially with the number of users. In this paper, a neural network approach to multi-user detection is considered. It is shown that the performance of this receiver is the same as the maximum-likelihood multi-user receiver but it has a much lower computational complexity.
|Name||IEEE Vehicular Technology Conference|
|Publisher||Institute of Electrical and Electronics Engineers Inc.|
|Conference||IEEE VTS 50th Vehicular Technology Conference, VTC 1999-Fall, September 19, 1999 - September 22, 1999|
|Period||1/01/99 → …|