Power Control and Deployment Algorithms for Dense Femtocell Networks

Open Access
Author:
Lin, Michael
Graduate Program:
Computer Science
Degree:
Doctor of Philosophy
Document Type:
Dissertation
Date of Defense:
October 08, 2015
Committee Members:
  • Thomas La Porta, Dissertation Advisor
  • Thomas La Porta, Committee Chair
  • Guohong Cao, Committee Member
  • Sofya Raskhodnikova, Committee Member
  • Aylin Yener, Committee Member
Keywords:
  • femtocells
  • wireless networks
  • power control
  • deployment
  • scheduling
Abstract:
Femtocells are low-cost, user-deployed wireless base stations that have been intro- duced by wireless service providers as a way to improve service at specific locations without costly base station buildouts or upgrades. Dense femtocell networks are networks consisting of a large number of femtocells deployed within a short distance of each other, such as might be used to provide coverage inside a large building or subway station. Due to the proximity of numerous femtocells, interference from neighoring femtocells is a significant problem in dense femtocell networks. This dissertation introduces algorithms for power management and deployment of dense femtocell networks that seek to reduce downlink interference and femtocell power consumption. A number of approaches to interference management are taken by the algorithms in this dissertation, including pilot power reduction, selective activation, and transmission radius reduction. Using simulations and experiments, we show that our algorithms reduce both interference and total network power consumption.