Paper Info
Title
Channel dependent adaptive modulation and coding without channel state information at the transmitter.
Abstract
In this paper, we consider the problem of communicating over an Additive White Gaussian Noise (AWGN) channel with an unknown noise power without feedback. For the case where the noise power is drawn from a distribution with K distinct values, we model the channel as a K-user broadcast channel, with a user for each of the K possible noise powers. We propose two metrics for measuring the loss of using a broadcast code compared to an omniscient transmitter. Using these metrics, we solve for the optimal power allocation in a superposition code. For the case of K = 2, we prove several interesting properties of the optimal power allocation and the minimum loss.
Year
DOI
Venue
2013
10.1109/ICASSP.2013.6638631
ICASSP
Keywords
Field
DocType
AWGN channels,adaptive modulation,broadcast channels,encoding,radio transmitters,AWGN channel,K distinct values,K-user broadcast channel,additive white Gaussian noise channel,broadcast code,channel dependent adaptive coding,channel dependent adaptive modulation,optimal power allocation,transmitter,unknown noise power,adaptive coding,broadcast channel
Link adaptation,Topology,Transmitter,Broadcasting,Superposition principle,Mathematical optimization,Noise power,Computer science,Computer network,Communication channel,Additive white Gaussian noise,Channel state information
Conference
ISSN
Citations 
PageRank 
1520-6149
0
0.34
References 
Authors
4
3
Name
Order
Citations
PageRank
Bradford D. Boyle161.80
John MacLaren Walsh210717.90
Steven Weber372453.55