University of Oulu

A. Tolli et al., "Distributed Coordinated Transmission with Forward-Backward Training for 5G Radio Access," in IEEE Communications Magazine, vol. 57, no. 1, pp. 58-64, January 2019. doi: 10.1109/MCOM.2018.1700199

Distributed coordinated transmission with forward-backward training for 5G radio access

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Author: Tölli, Antti1; Ghauch, Hadi2; Kaleva, Jarkko1;
Organizations: 1University of Oulu
2Royal Institute of Technology
3Mediatek Wireless
4Northwestern University
5Nokia Bell Labs
Format: article
Version: accepted version
Access: open
Online Access: PDF Full Text (PDF, 0.3 MB)
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Language: English
Published: Institute of Electrical and Electronics Engineers, 2019
Publish Date: 2019-06-05


CoMP transmission and reception have been considered in cellular networks for enabling larger coverage, improved rates, and interference mitigation. To harness the gains of coordinated beamforming, fast information exchange over a backhaul connecting the cooperating BSs is required. In practice, the bandwidth and delay limitations of the backhaul may not be able to meet such stringent demands. These impairments motivate the study of cooperative approaches based only on local CSI that require minimal or no information exchange between the BSs. To this end, several distributed approaches are introduced for CB-CoMP. The proposed methods rely on the channel reciprocity and iterative spatially precoded over-the-air pilot signaling. We elaborate how F-B training facilitates distributed CB by allowing BSs and UEs to iteratively optimize their respective transmitters/receivers based on only locally measured CSI. The trade-off due to the overhead from the F-B iterations is discussed. We also consider the challenge of dynamic TDD where the UE-UE channel knowledge cannot be acquired at the BSs by exploiting channel reciprocity. Finally, standardization activities and practical requirements for enabling the proposed F-B training schemes in 5G radio access are discussed.

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Series: IEEE communications magazine
ISSN: 0163-6804
ISSN-E: 1558-1896
ISSN-L: 0163-6804
Volume: 57
Issue: 1
Pages: 58 - 64
DOI: 10.1109/MCOM.2018.1700199
Type of Publication: A1 Journal article – refereed
Field of Science: 213 Electronic, automation and communications engineering, electronics
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