TY - JOUR
T1 - On Interference Aware Power Adjustment and Scheduling in Femtocell Networks
AU - Lin, Michael
AU - Bartolini, Novella
AU - Giallorenzo, Michael
AU - La Porta, Thomas F.
N1 - Funding Information:
Manuscript received October 29, 2018; revised September 30, 2019 and December 18, 2019; accepted January 25, 2020; approved by IEEE/ACM TRANSACTIONS ON NETWORKING Editor J. Xie. Date of publication March 2, 2020; date of current version April 16, 2020. The work of Michael Lin was supported by the William Leonhard Chair at the Pennsylvania State University. The work of Novella Bartolini was supported by NATO under SPS Grant G4936 SONiCS. (Corresponding author: Novella Bartolini.) Michael Lin and Thomas F. La Porta are with the Department of Computer Science and Engineering, Pennsylvania State University, University Park, PA 16802 USA (e-mail: neverknowsbest@gmail.com; tlp@cse.psu.edu).
PY - 2020/4
Y1 - 2020/4
N2 - Densely-deployed femtocell networks are used to enhance wireless coverage in public spaces such as office buildings, subways, and academic buildings. These networks can increase user throughput, but edge users can suffer from co-channel interference and service outages. This paper introduces a distributed algorithm for network configuration, called Radius Reduction and Scheduling (RRS), to improve the performance and fairness of the network. RRS works by jointly adapting femtocell transmission power, allocating user to femtocells, and scheduling resource blocks so as to increase fairness and reduce outage probability in dense femtocell networks. RRS produces a network configuration that guarantees either user or area coverage depending on the management needs. A prototype implementation confirms the benefits of RRS in a real environment. Furthermore, extensive simulations show that RRS reduces the outage probability of up to 50%, and provides better fairness, with an increase in Jain's index of 190%, with respect to a baseline algorithm which works with fixed power and best-effort scheduling and to a previous approach to resource management in femtocell networks.
AB - Densely-deployed femtocell networks are used to enhance wireless coverage in public spaces such as office buildings, subways, and academic buildings. These networks can increase user throughput, but edge users can suffer from co-channel interference and service outages. This paper introduces a distributed algorithm for network configuration, called Radius Reduction and Scheduling (RRS), to improve the performance and fairness of the network. RRS works by jointly adapting femtocell transmission power, allocating user to femtocells, and scheduling resource blocks so as to increase fairness and reduce outage probability in dense femtocell networks. RRS produces a network configuration that guarantees either user or area coverage depending on the management needs. A prototype implementation confirms the benefits of RRS in a real environment. Furthermore, extensive simulations show that RRS reduces the outage probability of up to 50%, and provides better fairness, with an increase in Jain's index of 190%, with respect to a baseline algorithm which works with fixed power and best-effort scheduling and to a previous approach to resource management in femtocell networks.
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U2 - 10.1109/TNET.2020.2973833
DO - 10.1109/TNET.2020.2973833
M3 - Article
AN - SCOPUS:85083725585
VL - 28
SP - 736
EP - 749
JO - IEEE/ACM Transactions on Networking
JF - IEEE/ACM Transactions on Networking
SN - 1063-6692
IS - 2
M1 - 9019838
ER -