Zobrazeno 1 - 10
of 14
pro vyhledávání: '"Hadi Kasasbeh"'
Publikováno v:
IEEE Transactions on Aerospace and Electronic Systems. 55:1435-1449
Prior works on distributed detection with correlated Gaussian observations primarily dealt with single-bit reports to the fusion center and suboptimal fusion rules. Considering multiple bits and independent reporting channel errors, we formulate the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e55b9086bf15863904abd992a3e515a5
https://doi.org/10.1109/taes.2018.2871478
https://doi.org/10.1109/taes.2018.2871478
Publikováno v:
IEEE Transactions on Communications. 64:1143-1152
The adjacent channel interference (ACI) resulting from imperfect filtering can severely degrade the performance of any wireless communication system. Despite this fact, most of previously proposed medium access control (MAC) protocols for cognitive r
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::65958ee23dfb9792557371780868229a
https://doi.org/10.1109/tcomm.2016.2523509
https://doi.org/10.1109/tcomm.2016.2523509
Publikováno v:
WiSEE
This paper considers a decentralized detection system for a binary hypothesis testing problem. The sensor signals are marginally Gaussian distributed with θ-parameter Clayton copula joint distribution. Boolean functions of two variables and likeliho
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8f57e281ad21eefc43837670f3a7fac8
https://doi.org/10.1109/wisee.2018.8637337
https://doi.org/10.1109/wisee.2018.8637337
In this letter, we consider the effect of noise correlation on the error performance of binary hypothesis signal detection, when one of two deterministic signals is received in correlated Gaussian noise. For the likelihood ratio detection scheme, ana
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::26ffdbedbcfa9d18ef8f71fa079940c0
https://europepmc.org/articles/PMC5619669/
https://europepmc.org/articles/PMC5619669/
Publikováno v:
CISS
This paper proposes a new framework that performs spectrum sensing in soft decision based distributed detection systems while considering correlated sensors' readings. The main contribution is formulating the problem into a nonlinear integer programm
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0f51474dbaf791c9054fa2f25ecf1a4e
https://doi.org/10.1109/ciss.2017.7926105
https://doi.org/10.1109/ciss.2017.7926105
Publikováno v:
WCNC
IEEE 802.11 protocol uses random frequency channel assignment which can severely degrade the network throughput. This paper presents a novel efficient throughput oriented frequency channel assignment mechanism with low complexity for the infra-struct
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d4dafc9d42bdf1c31c13784b751037a4
https://doi.org/10.1109/wcnc.2017.7925606
https://doi.org/10.1109/wcnc.2017.7925606
Publikováno v:
WCNC
In this paper, we present a novel guard-band (GB)-aware channel assignment mechanism that attempts at maximization the achieved network throughput by improving spectrum utilization. Unlike most of previously proposed GB-aware channel assignment algor
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::23030539f7b11675ca3d49935af230ec
https://doi.org/10.1109/wcnc.2016.7565050
https://doi.org/10.1109/wcnc.2016.7565050
Publikováno v:
CISS
In spite of the spectrum sensing importance, small part of the literature deals with the case of dependency between sensors' observations. In this paper, Bayes criterion for minimizing the probability of error (Pe) is used to find the distributed dec
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::91136749fcbf267ecf2b23fc1940c452
https://doi.org/10.1109/ciss.2016.7460515
https://doi.org/10.1109/ciss.2016.7460515
Publikováno v:
IEEE Transactions on Aerospace & Electronic Systems; Jun2019, Vol. 55 Issue 3, p1435-1449, 15p
Publikováno v:
IEEE Signal Processing Letters; Jul2017, Vol. 24 Issue 7, p1078-1082, 5p