Beamformer Design for Multicell Multigroup Multicast Systems
Date Issued
2016
Date
2016
Author(s)
Hsu, Guan-Wen
Abstract
This dissertation considers a beamforming design problem in the Multicast Broadcast Single Frequency Network (MBSFN) scenario with multiple multicast groups that provide different multicast services. In the first part of this work, we devise different kinds of optimization techniques such as semidefinite relaxation, fractional program and difference of convex (DC) program to solve the joint beamforming design among the cooperating base stations (BSs), which is also known as the joint processing (JP) scheme in coordinated multipoint transmission (CoMP) defined in the Long-Term Evolution-Advanced (LTE-A) system. In the second part, we consider a more general scenario that each user is equipped with multiple receiving antennas. Therein, we propose a heuristic algorithm based on the downlink-uplink (DL-UL) duality structure to resolve the joint beamforming problem. Throughout the work, per-cell power constraints are considered. In addition, we consider the design of higher rank transmission to increase the spectrum efficiency, and the design of robust beamforming to alleviate performance degradation caused by imperfect channel state information. In the simulation results, we demonstrate the potential of the proposed algorithms in terms of the maximized minimum signal to interference plus noise ratio (SINR), and compare the proposed methods with the traditional MBSFN transmission scheme and the existing non-cooperating multicast beamforming methods. The results show that the proposed methods indeed provide better performance. We also provide numerical results of the robust and non-robust beamforming schemes in terms of the power consumption, feasibility ratio, and the histogram of the normalized SINR to complete the discussion.
Subjects
Multicast Broadcast Single Frequency Network (MBSFN)
multimedia broadcast/multicast system (MBMS)
coordinated multipoint transmission (CoMP)
coordinated beamforming
joint processing (JP)
convex optimization
robust beamforming.
Type
thesis
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