DMCA
Achievable rates and scaling laws of power-constrained wireless sensory relay networks (2006)
| Venue: | IEEE Trans. Inf. Theory |
| Citations: | 17 - 3 self |
BibTeX
@ARTICLE{Wang06achievablerates,
author = {Bo Wang and Student Member and Junshan Zhang and Senior Member and Lizhong Zheng},
title = {Achievable rates and scaling laws of power-constrained wireless sensory relay networks},
journal = {IEEE Trans. Inf. Theory},
year = {2006},
volume = {52},
pages = {4084--4104}
}
Share
 |
 |
 |
 |
||
OpenURL
Abstract
Abstract—A wireless sensory relay network consists of one source node, one destination node and multiple intermediate relay nodes. In this paper, we study the achievable rates and the scaling laws of power-constrained wireless relay networks in the wideband regime, assuming that relay nodes have no a priori knowledge of channel-state information (CSI) for both the backward channels and the forward channels. We examine the achievable rates in the joint asymptotic regime of the number of relay nodes �, the channel coherence interval, and the bandwidth ‡ (or the SNR per link &). We first study narrowband relay networks in the low SNR regime. We investigate a relaying scheme, namely amplify-and-forward (AF) with network training, in which the source node and the destination node broadcast training symbols and each relay node carries out channel estimation and then applies AF relaying to relay information. We provide an equivalent
Keyphrases
achievable rate power-constrained wireless sensory relay network relay node source node scaling law wideband regime joint asymptotic regime destination node wireless sensory relay network low snr regime backward channel network training destination node broadcast training symbol applies af narrowband relay network multiple intermediate relay node channel coherence interval power-constrained wireless relay network channel-state information relaying scheme channel estimation forward channel
