An ADMM Approach to Distributed Coordinated Beamforming in Dynamic TDD NetworksShow others and affiliations
2017 (English)In: 2017 IEEE 7TH INTERNATIONAL WORKSHOP ON COMPUTATIONAL ADVANCES IN MULTI-SENSOR ADAPTIVE PROCESSING (CAMSAP), IEEE , 2017Conference paper, Published paper (Refereed)
Abstract [en]
We consider a dynamic time division duplexing wireless network and propose a distributed coordinated beamforming algorithm based on Alternating Direction Method of Multipliers (ADMM) technique assuming the availability of perfect channel state information. Our design objective is to minimize the sum transmit power at the base stations subject to minimum signal-to-interference-plus-noise ratio (SINR) constraints for downlink mobile stations and a maximum interference power threshold for uplink mobile stations. First, we propose a centralized algorithm based on the relaxed Semidefinite Programming (SDP) technique. To obtain the beamforming solution in a distributed way, we further propose a distributed coordinated beamforming algorithm using the ADMM technique. Detailed simulation results are presented to examine the effectiveness of the proposed algorithms. It is shown that the proposed algorithm achieves better performance in terms of the design objective and converges faster than the reference algorithm based on primal decomposition.
Place, publisher, year, edition, pages
IEEE , 2017.
Keywords [en]
Dynamic TDD, ADMM, distributed algorithm
National Category
Control Engineering
Identifiers
URN: urn:nbn:se:kth:diva-226259DOI: 10.1109/CAMSAP.2017.8313195ISI: 000428438100139Scopus ID: 2-s2.0-85050717338ISBN: 9781538612514 (print)OAI: oai:DiVA.org:kth-226259DiVA, id: diva2:1204435
Conference
2017 IEEE 7TH INTERNATIONAL WORKSHOP ON COMPUTATIONAL ADVANCES IN MULTI-SENSOR ADAPTIVE PROCESSING (CAMSAP) Curacao, NETH ANTILLES, DEC 10-13, 2017
Note
Funder: Innovation Center, Ericsson Telecomunicacoes S.A., Brazil, under EDB/TIDE5G Technical Cooperation Contract
QC 20180508
2018-05-082018-05-082022-06-26Bibliographically approved