Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.11851/7182
Title: On Femto-cell Deployment Strategies for Randomly Distributed Hotspots in Cellular Networks
Authors: Bahçeci, İsrafil
Keywords: [No Keywords]
Issue Date: 2014
Publisher: IEEE
Source: IEEE Wireless Communications and Networking Conference (WCNC) -- APR 06-09, 2014 -- Istanbul, TURKEY
Series/Report no.: IEEE Wireless Communications and Networking Conference
Abstract: We propose user-aware deployment strategies for femto-cell access points (FAPs) in heterogeneous networks where users' spatial distribution and long-term signal-to-interference plus noise ratios (SINRs) are available to a control centre. Assuming basestations are already deployed, the information on user density and long-term rate coverage is utilized to generate spatial throughput metrics for determining FAP locations. In one approach, regions with the smallest per-user rate coverage are determined as FAP locations where we attempt to find high-user density regions with little coverage from existing infrastructure. In another approach, enhancements from deploying FAPs to candidate locations are predicted based on channel measurements and realistic propagation models. We also investigate step-by-step deployment approaches taking into account the impact of existing FAPs to determine additional FAP locations. Simulations under 3GPP LTE-A heterogeneous network model show that user aware femto-cell deployment strategies can achieve up to 25% 5-percentile throughput gain, and 80% aggregate throughput gains.
URI: https://hdl.handle.net/20.500.11851/7182
ISBN: 978-1-4799-3083-8
ISSN: 1525-3511
Appears in Collections:Makine Mühendisliği Bölümü / Department of Mechanical Engineering
Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection
WoS İndeksli Yayınlar Koleksiyonu / WoS Indexed Publications Collection

Show full item record

CORE Recommender

Page view(s)

4
checked on Dec 26, 2022

Google ScholarTM

Check

Altmetric


Items in GCRIS Repository are protected by copyright, with all rights reserved, unless otherwise indicated.