Title :
Joint multiuser downlink beamforming and admission control in heterogeneous networks
Author :
Nguyen, Duy H. N. ; Long Bao Le ; Tho Le-Ngoc
Author_Institution :
Dept. of Electr. & Comput. Eng., McGill Univ., Montréal, QC, Canada
Abstract :
This work studies the problem of joint multiuser downlink beamforming and admission control in multiple-input multiple-output (MIMO) heterogeneous networks. Considered is a network where a newly deployed femtocell base-station (FBS) has the coverage overlapped with that of an existing macrocell base-station (MBS). Our design objective is to serve as many femto-users (FUEs) as possible at their quality-of-service (QoS) requirements while maintaining the QoS requirements at the macro-users (MUEs). In the first part of this work, we consider the joint downlink beamforming and admission control problem as a joint optimization problem, which can be solved in a centralized manner with full coordination between the MBS and the FBS. In the second part, we propose a distributed algorithm in performing joint downlink beamforming and admission control at the femtocell with only limited MBS-FBS coordination. Specifically, after acquiring certain design parameters from the MBS, the FBS unilaterally determines its beamforming and admission control strategy while coordinating its induced interference to the macrocell. We then prove that the distributed algorithm will converge to a fixed-point where the QoS at the MUEs and admitted FUEs is guaranteed. Simulation results show that the distributed algorithm performs as well as the centralized one in terms of number of FUEs served with only a small penalty on the power usage at the MBS and the FBS.
Keywords :
MIMO communication; array signal processing; distributed algorithms; femtocellular radio; interference suppression; multiuser detection; optimisation; quality of service; radio networks; sensor placement; telecommunication congestion control; FBS deployment; FUE; MBS deployment; MIMO heterogeneous networks; MUE; QoS requirements; admission control strategy; distributed algorithm; femtocell base station; femtouser; interference suppression; joint multiuser downlink beamforming; joint optimization problem; macrocell base station; macrousers; multiple input multiple output; quality of service; Admission control; Array signal processing; Interference; Joints; Macrocell networks; Signal to noise ratio;
Conference_Titel :
Global Communications Conference (GLOBECOM), 2014 IEEE
Conference_Location :
Austin, TX
DOI :
10.1109/GLOCOM.2014.7037375