A New Ordering and Grouping Algorithm for the Linear Weighted Group Matched Filter Successive Interference Cancellation Detector

Analysis of the Linear GSIC Multiuser Detector Using a Matrix Iterative Approach

“…• In case of the GMF-SIC detector we have F = I, which results in Ω = D and thus we obtain the following condition of convergence: 0 < µ < 2 max 1≤g≤G λ max R g,g . Note that this is the same condition of convergence that the authors in [13] obtained by using a different approach than that we used here.…”

“…Up to our knowledge, no theorem for the convergence of such scheme exists in the literature and thus we propose two new corollaries that extend the famous work of Kahan [14] to the case where the relaxation factor is a matrix instead of a scalar. By using the new corollaries we derive two new conditions of convergence for the linear GSIC and we show as well that the conditions of convergence obtained in [10] and [13] can also be obtained by using our approach. This will be in fact a unified approach for the analysis of any GSIC detector.…”

“…In [12], it was illustrated through simulations that the linear GMF-SIC detector is not always stable especially for small number of groups, for this reason and in order to overcome this drawback, a linear weighted GMF-SIC detector was proposed and a condition of convergence was derived. In [13], a more relaxed condition of convergence for the linear weighted GMF-SIC detector was derived.…”

FRESH-DFE: A New Structure for Interference Cancellation

“…Most of these techniques use adaptive filters to mitigate the influence of time variant impairments in digital communications. There are some exceptions where interference is mitigated by serial, parallel, or hybrid interference cancelers particularly in the case of multiuser CDMA [7,9,3]. The above mentioned techniques have been found to be effective in reducing intersymbol-interference (ISI), co-channel interference (CCI) and adjacent channel interference (ACI).…”