Unified analysis of generalized selection combining with normalized threshold test per branch
Copyright policy )Unified analysis of generalized selection combining with normalized threshold test per branch
In this paper, we introduce a novel performance analysis approach based on partitioning the probability space. This new performance analysis approach enables a unified analysis of normalized threshold generalized selection combining (NT-GSC) over generalized fading channels. To further improve the robustness of the NT-GSC combiner, we propose and analyze a generalized NT-GSC scheme referred to as N-branch plus normalized threshold generalized selection combining (TV+NT-GSC). Performance measures are obtained through the derivation of the moment generating function (MGF) of the diversity combiner output signal-to-noise ratio (SNR). Implementation complexity of NT-GSC and TV+NT-GSC are investigated, and the mean and variance of the number of combined branches are derived in a compact form for general fading channels
- University of Notre Dame United States
- University of Victoria Canada
- University of Victoria Canada
selected citations These citations are derived from selected sources.This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).14 popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.Average influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).Top 10% impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.Top 10%
Citations provided by BIP!Popularity provided by BIP!