Title :
Fading Broadcast Channels With State Information at the Receivers
Author :
Tse, David N C ; Yates, Roy D.
Author_Institution :
EECS Dept., Univ. of California at Berkeley, Berkeley, CA, USA
fDate :
6/1/2012 12:00:00 AM
Abstract :
Despite considerable progress, the capacity region of fading broadcast channels with channel state known at the receivers but unknown at the transmitter remains unresolved. We address this subject by introducing a layered erasure broadcast channel model in which each component channel has a state that specifies the received signal levels in an instance of a deterministic binary expansion channel. We find the capacity region of this class of broadcast channels. The capacity achieving strategy assigns each signal level to the user that derives the maximum weighted expected rate. The outer bound is based on a channel enhancement that creates a degraded broadcast channel for which the capacity region is known. This same approach is then used to find inner and outer bounds to the capacity region of fading Gaussian broadcast channels. The achievability scheme employs a superposition of binary inputs. For intermittent additive white Gaussian noise (AWGN) channels and for Rayleigh fading channels, the achievable rates are observed to be within 1-2 bits of the outer bound at high SNR. We also prove that the achievable rate region is within 6.386 bits/s/Hz of the capacity region for all fading AWGN broadcast channels.
Keywords :
AWGN channels; Rayleigh channels; broadcast channels; radio receivers; radio transmitters; Rayleigh fading channels; bit rate 6.386 bit/s; broadcast channel model; channel enhancement; channel state information; component channel; degraded broadcast channel; deterministic binary expansion channel; fading AWGN broadcast channels; fading Gaussian broadcast channels; intermittent additive white Gaussian noise channels; maximum weighted expected rate; radio receiver; radio transmitter; received signal levels; word length 1 bit to 2 bit; Channel models; Fading; Nickel; Random variables; Receivers; Reliability; Transmitters; Broadcast channel (BC); channel capacity; network information theory; wireless networks;
Journal_Title :
Information Theory, IEEE Transactions on
DOI :
10.1109/TIT.2012.2191471