TY - JOUR
T1 - Highly Accurate Approaches for the Interference Modeling in Coexisting Wireless Networks
AU - Irio, Luis
AU - Oliveira, Rodolfo
AU - da Costa, Daniel Benevides
N1 - Project CoSHARE (LISBOA-01-0145-FEDER-0307095 - PTDC/EEI-TEL/30709/2017).
Project UID/EEA/50008/2019.
grant SFRH/BD/108525/2015, in part by the Fundo Europeu de Desenvolvimento Regional (FEDER), by Programa Operacional Regional LISBOA (LISBOA2020), and by Fundacao para a Ciencia e Tecnologia (FCT).
PY - 2019/9/1
Y1 - 2019/9/1
N2 - In this letter, the problem of coexistence interference caused by multiple networks operating in the same band is considered. Specifically, two different methods to characterize the aggregate interference caused to a receiver when the interferers belong to different coexisting networks are presented. While the first method is inspired on the interference distribution in homogeneous Poisson point process (PPP) networks, the second method proposes a highly precise approximation based on the α - μ distribution. Both methods are described and their accuracies are assessed through simulations, showing that the adoption of the second approach can effectively increase the accuracy of the interference power distribution in coexisting scenarios.
AB - In this letter, the problem of coexistence interference caused by multiple networks operating in the same band is considered. Specifically, two different methods to characterize the aggregate interference caused to a receiver when the interferers belong to different coexisting networks are presented. While the first method is inspired on the interference distribution in homogeneous Poisson point process (PPP) networks, the second method proposes a highly precise approximation based on the α - μ distribution. Both methods are described and their accuracies are assessed through simulations, showing that the adoption of the second approach can effectively increase the accuracy of the interference power distribution in coexisting scenarios.
KW - coexistence
KW - interference modeling
KW - moment-based estimators
KW - α-μ distribution
UR - http://www.scopus.com/inward/record.url?scp=85072261740&partnerID=8YFLogxK
U2 - 10.1109/LCOMM.2019.2924887
DO - 10.1109/LCOMM.2019.2924887
M3 - Article
AN - SCOPUS:85072261740
SN - 1089-7798
VL - 23
SP - 1652
EP - 1656
JO - IEEE Communications Letters
JF - IEEE Communications Letters
IS - 9
M1 - 8745469
ER -