Peng, Tong, Wang, Yi, Burr, Alister Graham orcid.org/0000-0001-6435-3962 et al. (1 more author) (2018) Physical layer network coding in network MIMO:a new design for 5G and beyond. IEEE Transactions on Communications. 2024 - 2035. ISSN 0090-6778
Abstract
Physical layer network coding (PNC) has been studied to serve wireless network MIMO systems with much lower backhaul load than approaches such as Cloud Radio Access Network (Cloud-RAN) and coordinated multipoint (CoMP). In this paper, we present a design guideline of engineering applicable PNC to fulfil the request of high user densities in 5G wireless RAN infrastructure. We show that the proposed design criteria guarantee that 1) the whole system operates over binary system; 2) the PNC functions utilised at each access point overcome all singular fade states; 3) the destination can unambiguously recover all source messages while the overall backhaul load remains at the lowest level. We then develop a two-stage search algorithm to identify the optimum PNC mapping functions which greatly reduces the real-time computational complexity. The impact of estimated channel information and reduced number of singular fade states in different QAM modulation schemes are studied in this paper. Numerical results show that the proposed schemes achieve low outage probability with reduced backhaul load.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2018 IEEE. Personal use is permitted, but republication/redistribution requires IEEE permission. This is an author-produced version of the published paper. Uploaded in accordance with the publisher’s self-archiving policy. Further copying may not be permitted; contact the publisher for details. |
Keywords: | adaptive PNC,unambiguous detection,backhaul load,industrial applicable |
Dates: |
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Institution: | The University of York |
Academic Units: | The University of York > Faculty of Sciences (York) > Electronic Engineering (York) |
Funding Information: | Funder Grant number EPSRC EP/K040006/1 |
Depositing User: | Pure (York) |
Date Deposited: | 29 Nov 2018 12:50 |
Last Modified: | 16 Oct 2024 15:17 |
Published Version: | https://doi.org/10.1109/TCOMM.2018.2886184 |
Status: | Published |
Refereed: | Yes |
Identification Number: | 10.1109/TCOMM.2018.2886184 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:139379 |
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