Paper Info
Title
S+N-ESC Diversity in Nakagami and Rician Fading with MPSK and 16-QAM
Abstract
A signal-plus-noise (S + N) energy selection diversity combining (S + N-ESC) scheme for M-ary phase shift keying (MPSK) and 16-quadrature amplitude modulation (16-QAM) signaling in Nakagami-m and Rician fading channels is studied. The S + N-ESC selects the branch with the maximum S + N energy for detection. The advantage of the S + NESC scheme is that it requires no explicit channel estimation for diversity branch selection. We show that the symbol error probability (SEP) of the S + N-ESC is the same as that of classical selection combining (SC) for MPSK signaling in independent and identically distributed (i.i.d.) Rayleigh fading channels. Also, we show that the SEP of a weighted S + N-ESC scheme is the same as that of classical SC for MPSK signaling in independent and nonidentically distributed (i.n.d.) Rayleigh fading channels. It is shown that the S + N-ESC scheme provides a smaller SEP than classical SC for MPSK signaling in nondispersive fading channels such as Nakagami-m fading channels with Nakagami parameter m > 1 and Rician fading channels with Rician parameter K > 0. On the other hand, the S + N-ESC scheme is shown to have a larger SEP than classical SC for 16-QAM signaling in Nakagamim and Rician fading channels.
Year
DOI
Venue
2010
10.1109/WCNC.2010.5506635
WCNC
Keywords
DocType
ISSN
symbol error probability,diversity reception,nakagami channels,m-ary phase shift keying signaling,16-quadrature amplitude modulation signaling,rayleigh fading channel,selection combining,diversity branch selection,nondispersive fading channel,phase shift keying,quadrature amplitude modulation,nakagami-m fading channel,rician fading channel,signal-plus-noise energy selection diversity combining scheme,error statistics,rayleigh channels,rician channels,fading channel,independent and identically distributed,binary phase shift keying,signal to noise ratio,diversity combining,error probability,fading,nakagami distribution
Conference
1525-3511
ISBN
Citations 
PageRank 
978-1-4244-6396-1
0
0.34
References 
Authors
9
2
Name
Order
Citations
PageRank
Young Gil Kim115218.48
Norman C. Beaulieu22259260.64