K. G. Nguyen, Q. D. Vu, M. Juntti and L. N. Tran, "Globally optimal beamforming design for downlink CoMP transmission with limited backhaul capacity," 2017 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), New Orleans, LA, 2017, pp. 3649-3653. doi: 10.1109/ICASSP.2017.7952837
Globally optimal beamforming design for downlink CoMP transmission with limited backhaul capacity
|Author:||Nguyen, Kien-Giang1; Vu, Quang-Doanh1; Juntti, Markku1;|
1Centre for Wireless Communications, University of Oulu, P. O.Box 4500, FI-90014, Finland
2Department of Electronic Engineering, Maynooth Universit y, Ireland
|Online Access:||PDF Full Text (PDF, 0.3 MB)|
|Persistent link:|| http://urn.fi/urn:nbn:fi-fe2018062826608
Institute of Electrical and Electronics Engineers,
|Publish Date:|| 2018-06-29
This paper considers a multicell downlink channel in which multiple base stations (BSs) cooperatively serve users by jointly precoding shared data transported from a central processor over limited-capacity backhaul links. We jointly design the beamformers and BS-user link selection so as to maximize the sum rate subject to user-specific signal-to-interference-noise (SINR) requirements, per-BS backhaul capacity and per-BS power constraints. As existing solutions for the considered problem are suboptimal and their optimality remains unknown due to the lack of globally optimal solutions, we characterized this gap by proposing an globally optimal algorithm for the problem of interest. Specifically, the proposed method is customized from a generic framework of a branch and bound algorithm applied to discrete monotonic optimization. We show that the proposed algorithm converges after a finite number of iterations, and can serve as a benchmark for existing suboptimal solutions and those that will be developed for similar contexts in the future. In this regard, we numerically compare the proposed optimal solution to a current state-of-the-art, which show that this suboptimal method only attains 70% to 90% of the optimal performance.
Proceedings of the IEEE International Conference on Acoustics, Speech and Signal Processing
|Pages:||3649 - 3653|
2017 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
IEEE international conference on acoustics, speech and signal processing
|Type of Publication:||
A4 Article in conference proceedings
|Field of Science:||
213 Electronic, automation and communications engineering, electronics
This work was supported in part by the Academy of Finland under projects Message and CSI Sharing for Cellular Interference Management with Backhaul Constraints (MESIC) belonging to the WiFIUS program with NSF, and Wireless Connectivity for Internet of Everything (WiConIE), and the HPY Research Foundation. This project has been co-funded by the Irish Government and the European Union under Ireland’s EU Structural and Investment Funds Programmes 2014-2020 through the SFI Research Centres Programme under Grant 13/RC/2077.
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