University of Oulu

O. Tervo, H. Pennanen, D. Christopoulos, S. Chatzinotas and B. Ottersten, "Distributed Optimization for Coordinated Beamforming in Multicell Multigroup Multicast Systems: Power Minimization and SINR Balancing," in IEEE Transactions on Signal Processing, vol. 66, no. 1, pp. 171-185, 1 Jan.1, 2018. doi: 10.1109/TSP.2017.2762289

Distributed optimization for coordinated beamforming in multicell multigroup multicast systems : power minimization and SINR balancing

Saved in:
Author: Tervo, Oskari1; Pennanen, Harri1; Christopoulos, Dimitrios2;
Organizations: 1Centre for Wireless Communica- tions, University of Oulu, Oulu 90014, Finland
2Newtec Cy nv, Sint-Niklaas 9100, Belgium
3Interdisciplinary Centre for Secu- rity, Reliability and Trust, University of Luxembourg, Luxembourg City 4365, Luxembourg
Format: article
Version: accepted version
Access: open
Online Access: PDF Full Text (PDF, 1.2 MB)
Persistent link:
Language: English
Published: Institute of Electrical and Electronics Engineers, 2018
Publish Date: 2018-08-01


This paper considers coordinated multicast beamforming in a multicell multigroup multiple-input single-output system. Each base station (BS) serves multiple groups of users by forming a single beam with common information per group. We propose centralized and distributed beamforming algorithms for two different optimization targets. The first objective is to minimize the total transmission power of all the BSs while guaranteeing the user-specific minimum quality-of-service targets. The semidefinite relaxation (SDR) method is used to approximate the nonconvex multicast problem as a semidefinite program (SDP), which is solvable via centralized processing. Subsequently, two alternative distributed methods are proposed. The first approach turns the SDP into a two-level optimization via primal decomposition. At the higher level, intercell interference powers are optimized for fixed beamformers, whereas the lower level locally optimizes the beamformers by minimizing BS-specific transmit powers for the given intercell interference constraints. The second distributed solution is enabled via an alternating direction method of multipliers, where the intercell interference optimization is divided into a local and a global optimization by forcing the equality via consistency constraints. We further propose a centralized and a simple distributed beamforming design for the signal-to-interference-plus-noise ratio (SINR) balancing problem in which the minimum SINR among the users is maximized with given per-BS power constraints. This problem is solved via the bisection method as a series of SDP feasibility problems. The simulation results show the superiority of the proposed coordinated beamforming algorithms over traditional noncoordinated transmission schemes, and illustrate the fast convergence of the distributed methods.

see all

Series: IEEE transactions on signal processing
ISSN: 1053-587X
ISSN-E: 1941-0476
ISSN-L: 1053-587X
Volume: 66
Issue: 1
Pages: 171 - 185
DOI: 10.1109/TSP.2017.2762289
Type of Publication: A1 Journal article – refereed
Field of Science: 213 Electronic, automation and communications engineering, electronics
Funding: This work was supported in part by the National Research Fund, Luxembourg, under Project SATSENT, Project PROSAT, Project ECLECTIC, and Project INWIPNET, in part by the European Commission, H2020, under Project SANSA, in part by the Infotech Oulu Doctoral Program, and in part by the Academy of Finland under Project WiConIE and Project MESIC belonging to the WiFIUS program with NSF. The work of O. Tervo was supported in part by the Oulu University Scholarship Foundation, in part by the Nokia Foundation, in part by the Tauno Tönning Foundation, in part by the Walter Ahlström Foundation, and in part by the KAUTE foundation.
Copyright information: © 2018 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.