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Generalized Adaptive Network Coding Aided Successive Relaying Based Noncoherent Cooperation

Generalized Adaptive Network Coding Aided Successive Relaying Based Noncoherent Cooperation
Generalized Adaptive Network Coding Aided Successive Relaying Based Noncoherent Cooperation
A generalized adaptive network coding (GANC) scheme is conceived for a multi-user, multi-relay scenario, where the multiple users transmit independent information streams to a common destination with the aid of multiple relays. The proposed GANC scheme is developed from adaptive network coded cooperation (ANCC), which aims for a high flexibility in order to: 1) allow arbitrary channel coding schemes to serve as the cross-layer network coding regime; 2) provide any arbitrary trade-off between the throughput and reliability by adjusting the ratio of the source nodes and the cooperating relay nodes. Furthermore, we incorporate the proposed GANC scheme in a novel successive relaying aided network (SRAN) in order to recover the typical 50% half-duplex relaying-induced throughput loss. However, it is unrealistic to expect that in addition to carrying out all the relaying functions, the relays could additionally estimate the source-to-relay channels. Hence noncoherent detection is employed in order to obviate the power-hungry channel estimation. Finally, we intrinsically amalgamate our GANC scheme with the joint network-channel coding (JNCC) concept into a powerful three-stage concatenated architecture relying on iterative detection, which is specifically designed for the destination node (DN). The proposed scheme is also capable of adapting to rapidly time-varying network topologies, while relying on energy-efficient detection.
1750-1763
Li, Li
8e6fbabd-aac6-4bb0-a273-a77750dc5b92
Wang, Li
48544830-2bcb-4cfa-a33e-343ebfbe4aac
Hanzo, Lajos
66e7266f-3066-4fc0-8391-e000acce71a1
Li, Li
8e6fbabd-aac6-4bb0-a273-a77750dc5b92
Wang, Li
48544830-2bcb-4cfa-a33e-343ebfbe4aac
Hanzo, Lajos
66e7266f-3066-4fc0-8391-e000acce71a1

Li, Li, Wang, Li and Hanzo, Lajos (2013) Generalized Adaptive Network Coding Aided Successive Relaying Based Noncoherent Cooperation. IEEE Transactions on Communications, 61 (5), 1750-1763.

Record type: Article

Abstract

A generalized adaptive network coding (GANC) scheme is conceived for a multi-user, multi-relay scenario, where the multiple users transmit independent information streams to a common destination with the aid of multiple relays. The proposed GANC scheme is developed from adaptive network coded cooperation (ANCC), which aims for a high flexibility in order to: 1) allow arbitrary channel coding schemes to serve as the cross-layer network coding regime; 2) provide any arbitrary trade-off between the throughput and reliability by adjusting the ratio of the source nodes and the cooperating relay nodes. Furthermore, we incorporate the proposed GANC scheme in a novel successive relaying aided network (SRAN) in order to recover the typical 50% half-duplex relaying-induced throughput loss. However, it is unrealistic to expect that in addition to carrying out all the relaying functions, the relays could additionally estimate the source-to-relay channels. Hence noncoherent detection is employed in order to obviate the power-hungry channel estimation. Finally, we intrinsically amalgamate our GANC scheme with the joint network-channel coding (JNCC) concept into a powerful three-stage concatenated architecture relying on iterative detection, which is specifically designed for the destination node (DN). The proposed scheme is also capable of adapting to rapidly time-varying network topologies, while relying on energy-efficient detection.

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More information

Published date: May 2013
Organisations: Southampton Wireless Group

Identifiers

Local EPrints ID: 344902
URI: http://eprints.soton.ac.uk/id/eprint/344902
PURE UUID: 6f341734-0fde-4eee-9cdd-08da06f24cd8
ORCID for Lajos Hanzo: ORCID iD orcid.org/0000-0002-2636-5214

Catalogue record

Date deposited: 05 Nov 2012 22:18
Last modified: 18 Mar 2024 02:35

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Contributors

Author: Li Li
Author: Li Wang
Author: Lajos Hanzo ORCID iD

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