Title
Exponential Diversity Achieving Spatio–Temporal Power Allocation Scheme for Fading Channels
Abstract
In this paper, we analyze optimal (in space and time) adaptive power transmission policies for fading channels when the channel-state information (CSI) at the transmitter (CSIT) and the receiver (CSIR) is available. The transmitter has a long-term (time) average power constraint. There can be multiple antennas at the transmitter and at the receiver. The channel experiences Rayleigh fading. We consider beamforming and space-time coded systems with perfect/imperfect CSIT and CSIR. The performance measure is the bit error rate (BER). We show that in both coded and uncoded systems, our power allocation policy provides exponential diversity order if perfect CSIT is available. We also show that, if the quality of CSIT degrades then the exponential diversity is retained in the low SNR region but we get only polynomial diversity in the high SNR region. Another interesting conclusion is that in case of imperfect CSIT and CSIR, knowledge of CSIT at the receiver is very important. Finally, for the optimal power control policy of the uncoded system we find the error-exponents which provide the rate versus diversity-order tradeoff for this policy. This tradeoff is of an entirely different nature than the well-known Zheng-Tse tradeoff.
Year
DOI
Venue
2008
10.1109/TIT.2007.911207
IEEE Transactions on Information Theory
Keywords
Field
DocType
uncoded system,power allocation policy,exponential diversity order,adaptive power transmission policy,optimal power control policy,diversity-order tradeoff,imperfect csit,perfect csit,fading channels,average power constraint,exponential diversity,temporal power allocation scheme,exponential diversity achieving spatio,convolutional codes,fading channel,radio receivers,power transmission,beamforming,error exponent,bit error rate,rayleigh fading,convolutional code,channel state information,space time code,radio transmitters,power control
Discrete mathematics,Beamforming,Transmitter,Telecommunications,Convolutional code,Rayleigh fading,Computer science,Fading,Power control,Signal-to-noise ratio,Algorithm,Bit error rate
Journal
Volume
Issue
ISSN
54
1
0018-9448
Citations 
PageRank 
References 
30
1.24
11
Authors
3
Name
Order
Citations
PageRank
Vinod Sharma170470.93
K. Premkumar2665.04
R. N. Swamy3301.24