Approximate Gaussian Density Evolution Based Analysis of Distributed and Adaptive Turbo Codes

Abstract

In this paper, the non-selective Decode-and-Forward (DF) scheme proposed in [1] is analyzed using approximate Gaussian density evolution (DE). Based on the DE analysis, performance is shown to be improved by adaptively changing the transmit code at the relay node in response to the channel conditions. Simulation results show that the proposed adaptive scheme improves performance, particularly when the relay is closer to the destination than to the source. In addition, the adaptive scheme does not increase network overhead.Index Terms-Approximate Gaussian density evolution, distributed communication system, turbo codes, decode and forward.

Interleaving Gains for Receive Diversity Schemes of Distributed Turbo Codes in Wireless Half–Duplex Relay Channels

“…The major difference between distributed coding and conventional channel coding schemes is that in distributed coding; the overall codeword is constructed in a distributed manner, [5], [11], and [15]. That is, different parts of the codeword in distributed coding are transmitted by different nodes through independent wireless links.…”

Decode‐and‐forward polar coding scheme for receive diversity: a relay partially perfect retransmission for half‐duplex wireless relay channels

“…Various coding schemes for DF relaying for different coding systems have been proposed in the literature. In [8,9], the relay schemes applied for distributed turbo codes; however, the work of applying low-density parity check codes for DF relay has been done in [10]. Polar coding is a new technique introduced in 2009 by Arikan [11] which depends in its construction on a channel polarisation phenomenon using low-complexity encoders and decoders.…”