Network coding aided cooperative cognitive radio for uplink transmission
Network coding aided cooperative cognitive radio for uplink transmission
An uplink transmission for Adaptive Dynamic Network Coding(ADNC) assisted Cooperative Cognitive Radio(CCR) system is proposed for facilitating the recovery of the source information received from the Primary Users (PUs) at the BS. The Cognitive Users (CUs) acting as Relay Nodes invoke the ADNC technique, where the CCR- based control information is exchanged between the CUs and the BS. % The network encoder may be activated in its adaptive mode for the sake of supporting the CUs, depending on the Boolean value of the feedback flags generated by the receiver based on the success/failure of the Adaptive Turbo Trellis Coded Modulation (ATTCM) channel decoder and of the network decoder. As a result, our novel ATTCM-ADNC-CCR system constructed based on a holistic approach is capable of providing an increased throughput, despite reducing the transmission-period of the PU. This reduced transmission-period can also be directly translated into an increased time-duration for the secondary communications of the CUs.
adaptive codes, cognitive radio, cooperative communication, network coding, trellis coded modulation, ADNC technique, ATTCM-ADNC-CCR system, CCR system, adaptive dynamic network coding, adaptive turbo Trellis coded modulation, channel decoder, cognitive users, cooperative cognitive radio, network coding aided cooperative cognitive radio, network decoder, uplink transmission, Adaptive systems, Cognitive radio, Decoding, Fading channels, Modulation, Network coding, Throughput
1-6
Liang, W.
d2bdc110-48a3-41e9-90e7-4edd4e050cff
Nguyen, H. V.
6f5a71ef-ea98-49e0-9be7-7f5bb9880f52
Ng, S. X.
e19a63b0-0f12-4591-ab5f-554820d5f78c
Hanzo, L.
66e7266f-3066-4fc0-8391-e000acce71a1
1 December 2015
Liang, W.
d2bdc110-48a3-41e9-90e7-4edd4e050cff
Nguyen, H. V.
6f5a71ef-ea98-49e0-9be7-7f5bb9880f52
Ng, S. X.
e19a63b0-0f12-4591-ab5f-554820d5f78c
Hanzo, L.
66e7266f-3066-4fc0-8391-e000acce71a1
Liang, W., Nguyen, H. V., Ng, S. X. and Hanzo, L.
(2015)
Network coding aided cooperative cognitive radio for uplink transmission.
In 2015 IEEE Global Communications Conference (GLOBECOM).
.
(doi:10.1109/GLOCOM.2015.7416958).
Record type:
Conference or Workshop Item
(Paper)
Abstract
An uplink transmission for Adaptive Dynamic Network Coding(ADNC) assisted Cooperative Cognitive Radio(CCR) system is proposed for facilitating the recovery of the source information received from the Primary Users (PUs) at the BS. The Cognitive Users (CUs) acting as Relay Nodes invoke the ADNC technique, where the CCR- based control information is exchanged between the CUs and the BS. % The network encoder may be activated in its adaptive mode for the sake of supporting the CUs, depending on the Boolean value of the feedback flags generated by the receiver based on the success/failure of the Adaptive Turbo Trellis Coded Modulation (ATTCM) channel decoder and of the network decoder. As a result, our novel ATTCM-ADNC-CCR system constructed based on a holistic approach is capable of providing an increased throughput, despite reducing the transmission-period of the PU. This reduced transmission-period can also be directly translated into an increased time-duration for the secondary communications of the CUs.
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More information
Published date: 1 December 2015
Keywords:
adaptive codes, cognitive radio, cooperative communication, network coding, trellis coded modulation, ADNC technique, ATTCM-ADNC-CCR system, CCR system, adaptive dynamic network coding, adaptive turbo Trellis coded modulation, channel decoder, cognitive users, cooperative cognitive radio, network coding aided cooperative cognitive radio, network decoder, uplink transmission, Adaptive systems, Cognitive radio, Decoding, Fading channels, Modulation, Network coding, Throughput
Organisations:
Electronics & Computer Science, Southampton Wireless Group
Identifiers
Local EPrints ID: 412040
URI: http://eprints.soton.ac.uk/id/eprint/412040
PURE UUID: e96388d7-ca7f-40fc-9578-bcc7e6f80b70
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Date deposited: 05 Jul 2017 16:31
Last modified: 18 Mar 2024 02:48
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