TY - GEN
T1 - Constant power signaling in Rayleigh fading channels
T2 - 2009 WRI World Congress on Computer Science and Information Engineering, CSIE 2009
AU - Iqbal, Rauf
AU - Sadeghi, Parastoo
AU - Abhayapala, Thushara D.
PY - 2009
Y1 - 2009
N2 - In this paper, we consider a wireless communication scenario in which the channel output is marginally Gaussian, but not jointly Gaussian. In particular, we study the joint probability distribution of channel outputs in correlated Rayleigh fading channels in response to constant power signaling, such as M-ary phase shift keying (MPSK). We show that the distribution of the channel output at any given sampling time is marginally Gaussian. However, the joint distribution of a sequence of channel outputs cannot be jointly Gaussian. A consequence of this result is that the information rates stated to be exact in two recent contributions, are strict upper bounds to the achievable data rates. We examine the tightness of these upper bounds by comparing them with the MPSK upper bound under perfect channel state information (CSI) assumption. We find that the CSI upper bound is considerably tighter in slow fading channels, high signal-to-noise ratios, and low-dimension (such as binary) PSK signaling.
AB - In this paper, we consider a wireless communication scenario in which the channel output is marginally Gaussian, but not jointly Gaussian. In particular, we study the joint probability distribution of channel outputs in correlated Rayleigh fading channels in response to constant power signaling, such as M-ary phase shift keying (MPSK). We show that the distribution of the channel output at any given sampling time is marginally Gaussian. However, the joint distribution of a sequence of channel outputs cannot be jointly Gaussian. A consequence of this result is that the information rates stated to be exact in two recent contributions, are strict upper bounds to the achievable data rates. We examine the tightness of these upper bounds by comparing them with the MPSK upper bound under perfect channel state information (CSI) assumption. We find that the CSI upper bound is considerably tighter in slow fading channels, high signal-to-noise ratios, and low-dimension (such as binary) PSK signaling.
UR - http://www.scopus.com/inward/record.url?scp=70449113321&partnerID=8YFLogxK
U2 - 10.1109/CSIE.2009.482
DO - 10.1109/CSIE.2009.482
M3 - Conference contribution
SN - 9780769535074
T3 - 2009 WRI World Congress on Computer Science and Information Engineering, CSIE 2009
SP - 166
EP - 170
BT - 2009 WRI World Congress on Computer Science and Information Engineering, CSIE 2009
Y2 - 31 March 2009 through 2 April 2009
ER -