NDLI: Auto-configuration of Physical Cell ID in LTE femtocellular systems using Self Organizing Networks

Content Provider	Springer Nature Link
Author	Saxena, Navrati Roy, Abhishek Kim, HanSeok Won, Jeong Jae
Copyright Year	2013
Abstract	The commercial success of cellular networks, combined with advances in digital electronics, signal processing, and telecommunications research have lead to the design of next generation 4G-based long term evolution (LTE) wireless systems. The key essence of these emerging, LTE cellular systems lie in deployment of multiple femtocells for improved coverage and higher data rates. However, the arbitrary deployment of a wide number of femtocells makes the configuration, management and planning of LTE systems quite complex and challenging. In order to support dynamic and efficient network configuration, every cell needs to be assigned a particular Physical Cell ID (PCID). In this paper we show that the dynamic, optimal PCID allocation problem in LTE systems is NP-complete. Subsequently we provide a near-optimal solution using Self-Organizing Networks which models the problem using new merge operations and explores the search space using a suitable randomized algorithmic approach. We also discuss two feasible options for dynamic auto-configuration of the system and analyze the algorithm to prove its convergence. Simulation results point out that our proposed near-optimal solution dynamically achieves ∼85−90 % of global optimal auto-configuration in computationally feasible time.
Starting Page	1107
Ending Page	1120
Page Count	14
File Format	PDF
ISSN	10220038
Journal	Wireless Networks
Volume Number	20
Issue Number	5
e-ISSN	15728196
Language	English
Publisher	Springer US
Publisher Date	2013-11-10
Publisher Place	Boston
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	LTE SON Vertex coloring NP-complete Permutation Randomized algorithms Communications Engineering, Networks Computer Communication Networks Electrical Engineering Business Information Systems
Content Type	Text
Resource Type	Article
Subject	Computer Networks and Communications Information Systems Electrical and Electronic Engineering

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