Buscar
Mostrando ítems 1-10 de 159
A simple accurate method for generating autocorrelated Nakagami-m envelope sequences
(Ieee-inst Electrical Electronics Engineers IncPiscatawayEUA, 2007)
The kappa-mu distribution and the eta-mu distribution
(Ieee-inst Electrical Electronics Engineers IncPiscatawayEUA, 2007)
On the Simulation and Correlation Properties of Phase-Envelope Nakagami Fading Processes
(Ieee-inst Electrical Electronics Engineers IncPiscatawayEUA, 2009)
Performance analysis framework for NOMA systems over non-identical nakagami-m fading channels
(2019-08-01)
This paper proposes an analytical framework based on the H-function distribution to study the performance of non-orthogonal multiple access (NOMA)-based wireless networks. More specifically, herein we investigate the outage ...
Performance Analysis Framework for NOMA Systems over Non-Identical Nakagami-m Fading Channels
(Ieee, 2019-01-01)
This paper proposes an analytical framework based on the H-function distribution to study the performance of non-orthogonal multiple access (NOMA)-based wireless networks. More specifically, herein we investigate the outage ...
Second-order statistics for diversity-combining, techniques in Nakagami-fading channels
(Institute of Electrical and Electronics Engineers (IEEE), 2001-11-01)
Exact and closed-form expressions for the level crossing rate and average fade duration are presented for the M branch pure selection combining (PSC), equal gain combining (EGC), and maximal ratio combining (MRC) techniques, ...
Second-order statistics for diversity-combining, techniques in Nakagami-fading channels
(Institute of Electrical and Electronics Engineers (IEEE), 2001-11-01)
Exact and closed-form expressions for the level crossing rate and average fade duration are presented for the M branch pure selection combining (PSC), equal gain combining (EGC), and maximal ratio combining (MRC) techniques, ...
On the Second-Order Statistics of Nakagami Fading Simulators
(Ieee-inst Electrical Electronics Engineers IncPiscatawayEUA, 2009)
Nakagami-m approximation to the sum of M non-identical independent Nakagami-m variates
(Iee-inst Elec EngHertfordInglaterra, 2004)