O. Tervo, A. Tölli, M. Juntti and L. Tran, "Energy-Efficient Beam Coordination Strategies With Rate-Dependent Processing Power," in IEEE Transactions on Signal Processing, vol. 65, no. 22, pp. 6097-6112, 15 Nov.15, 2017. doi: 10.1109/TSP.2017.2728501
Energy-efficient beam coordination strategies with rate-dependent processing power
|Author:||Tervo, Oskari1; Tölli, Antti1; Juntti, Markku1;|
1Centre for Wireless Communications, University of Oulu, Oulu 90014, Finland
2Department of Electronic Engineering, Maynooth University, Maynooth, Ireland
|Online Access:||PDF Full Text (PDF, 1 MB)|
|Persistent link:|| http://urn.fi/urn:nbn:fi-fe2018080233250
Institute of Electrical and Electronics Engineers,
|Publish Date:|| 2018-08-02
This paper proposes energy-efficient coordinated beamforming strategies for multicell multiuser multiple-input single-output system. We consider a practical power consumption model, where part of the consumed power depends on the base station or user specific data rates due to coding, decoding, and backhaul. This is different from the existing approaches where the base station power consumption has been assumed to be a convex or linear function of the transmit powers. Two optimization criteria are considered, namely network energy efficiency maximization and weighted sum energy efficiency maximization. We develop successive convex approximation-based algorithms to tackle these difficult nonconvex problems. We further propose decentralized implementations for the considered problems, in which base stations perform parallel and distributed computation based on local channel state information and limited backhaul information exchange. The decentralized approaches admit closed-form solutions and can be implemented without invoking a generic external convex solver. We also show an example of the pilot contamination effect on the energy efficiency using a heuristic pilot allocation strategy. The numerical results are provided to demonstrate that the rate dependent power consumption has a large impact on the system energy efficiency, and, thus, has to be taken into account when devising energy-efficient transmission strategies. The significant gains of the proposed algorithms over the conventional low-complexity beamforming algorithms are also illustrated.
IEEE transactions on signal processing
|Pages:||6097 - 6112|
|Type of Publication:||
A1 Journal article – refereed
|Field of Science:||
213 Electronic, automation and communications engineering, electronics
This work was supported in part by Infotech Oulu Doctoral Program and the Academy of Finland under project Message and CSI Sharing for Cellular Interference Management with Backhaul Constraints (MESIC) belonging to the WiFIUS program with NSF and also by the Irish Government and the European Union under Irelands EU Structural and Investment Funds Programmes 2014-2020 through the SFI Research Centres Programme under Grant 13/RC/2077. The work of O. Tervo was supported by KAUTE Foundation, Oulu University Scholarship Foundation, Walter Ahlström Foundation, HPY Research Foundation, Finnish Foundation for Technology Promotion, Tauno Tönning Foundation, Nokia Foundation and Seppo Säynäjäkangas Science Foundation.
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