Title :
Denoising Strategy for Convolutionally-Coded Bidirectional Relaying
Author :
Koike-Akino, Toshiaki ; Popovski, Petar ; Tarokh, Vahid
Author_Institution :
Sch. of Eng. & Appl. Sci., Harvard Univ., Cambridge, MA, USA
Abstract :
In this paper, we present a forwarding strategy for two-stage bidirectional relaying in which trellis-coded modulation (TCM) is employed. We reveal that adaptive network coding cannot resolve distance shortening occurred at specific channel conditions when a certain TCM is used. To overcome this issue, we introduce an improved amplify-and-forward (AF) scheme termed pseudo AF (PAF). The proposed strategy adaptively switches network coding and PAF according to the channel information. Computer simulations demonstrate that the proposed approach can improve throughput performance.
Keywords :
adaptive codes; convolutional codes; signal denoising; trellis coded modulation; adaptive network coding; amplify-and-forward scheme; bidirectional relaying; channel information; convolutional code; denoising strategy; forwarding strategy; trellis-coded modulation; Adaptive systems; Broadcasting; Constellation diagram; Convolutional codes; Decoding; Network coding; Noise reduction; Peer to peer computing; Relays; Throughput;
Conference_Titel :
Communications, 2009. ICC '09. IEEE International Conference on
Conference_Location :
Dresden
Print_ISBN :
978-1-4244-3435-0
Electronic_ISBN :
1938-1883
DOI :
10.1109/ICC.2009.5198893