Zobrazeno 1 - 10
of 10
pro vyhledávání: '"Jay Kant Chaudhary"'
Publikováno v:
EURASIP Journal on Wireless Communications and Networking, Vol 2018, Iss 1, Pp 1-11 (2018)
Abstract Cloud-radio access network (C-RAN) has been an attractive solution in the recent years for the future generation mobile networks due to its promising benefits. However, the transport link between the remote radio unit (RRU) and the baseband
Externí odkaz:
https://doaj.org/article/5f781e140dfe48de9260a6f6af609a85
Publikováno v:
EURASIP Journal on Wireless Communications and Networking, Vol 2018, Iss 1, Pp 1-11 (2018)
Cloud-radio access network (C-RAN) has been an attractive solution in the recent years for the future generation mobile networks due to its promising benefits. However, the transport link between the remote radio unit (RRU) and the baseband unit (BBU
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::cc891386e63fedea582079c8c7171678
http://link.springer.com/article/10.1186/s13638-018-1212-4
http://link.springer.com/article/10.1186/s13638-018-1212-4
Publikováno v:
PIMRC
Latency is the one of the critical performance metrics for 5G and beyond mobile networks, particularly for ultra-reliable and low-latency communications (URLLC). In URLLC applications, it is required that the transmitted packets reach the destination
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::46770730f45d14c8a30cf906f8d83662
https://doi.org/10.1109/pimrc.2019.8904279
https://doi.org/10.1109/pimrc.2019.8904279
Publikováno v:
EuCNC
2019 European Conference on Networks and Communications (EuCNC)
2019 European Conference on Networks and Communications (EuCNC)
Fronthaul (FH) bandwidth in cloud radio access network (C-RAN) can be significantly reduced with an appropriate functional split by offloading more signal processing functionalities to the remote radio unit (RRU). However, this not only reduces the a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3e4d31815da3f0d1073b2effb51ca3db
https://doi.org/10.1109/eucnc.2019.8801953
https://doi.org/10.1109/eucnc.2019.8801953
Publikováno v:
WCNC
With the emergence of cloud radio access network (C-RAN) architecture, latency in fronthaul (FH) network is a critical performance metric especially for ultra-reliable and low-latency communication applications. The stringent FH capacity and latency
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8a6bf2f32d694a5bc2d63c030a0fbd62
https://doi.org/10.1109/wcnc.2019.8885707
https://doi.org/10.1109/wcnc.2019.8885707
Autor:
Dimitra Simeonidou, Eckhard Grass, Ricardo Gonzalez, Arash Farhadi Beldachi, Thierno Diallo, Paris Flegkas, Joan Josep Aleixendri, August Betzler, Daniel Camps-Mur, Peter Legg, Jesus Gutierrez, Kostas Choumas, Jens Bartelt, Dimitris Giatsios, Anna Tzanakaki, Jay Kant Chaudhary, Jim Zou
Publikováno v:
IEEE Communications Magazine
Camps Mur, D, Gutierrez, J, Tzanakaki, A, Flegkas, P, Choumas, K, Giatsios, D, Farhadi Beldachi, A, Diallo, T, Zou, J, Legg, P, Bartelt, J, Chaudhary, J K, Beltzler, A, Aleixendri, J J, Gonzalez, R & Simeonidou, D 2019, ' 5G-XHaul : A Novel Wireless-Optical SDN Transport Network to Support Joint 5G Backhaul and Fronthaul Services ', IEEE Communications Magazine . https://doi.org/10.1109/MCOM.2019.1800836
Camps Mur, D, Gutierrez, J, Tzanakaki, A, Flegkas, P, Choumas, K, Giatsios, D, Farhadi Beldachi, A, Diallo, T, Zou, J, Legg, P, Bartelt, J, Chaudhary, J K, Beltzler, A, Aleixendri, J J, Gonzalez, R & Simeonidou, D 2019, ' 5G-XHaul : A Novel Wireless-Optical SDN Transport Network to Support Joint 5G Backhaul and Fronthaul Services ', IEEE Communications Magazine . https://doi.org/10.1109/MCOM.2019.1800836
The increased carrier bandwidth and the number of antenna elements expected in 5G networks require a redesign of the traditional IP-based backhaul and CPRI-based fronthaul interfaces used in 4G networks. We envision future mobile networks to encompas
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::50825796716f85dde2b83ba7e549c171
Autor:
Eckhard Grass, Vaia Kalokidou, Dusan Markovic, Paris Flegkas, Jay Kant Chaudhary, Nikola Vucic, Jesus Gutierrez, G. Lyberopoulos, Michael Grieger, Jens Bartelt, Peter Legg, Daniel Camps-Mur, Dimitris Syrivelis, Thanasis Korakis, Eduard Garcia, Ignacio Berberana, Markos P. Anastasopoulos, Nebojsa Maletic, Anna Tzanakaki, Jim Zou
Publikováno v:
Transactions on Emerging Telecommunications Technologies. 27:1187-1195
The common European Information and Communications Technology sector vision for 5G is that it should leverage on the strengths of both optical and wireless technologies. In the 5G context, a wide spectra of radio access technologies-such as millimetr
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ff02e907866cf134469a82fb3d306672
https://doi.org/10.1002/ett.3063
https://doi.org/10.1002/ett.3063
Publikováno v:
GLOBECOM Workshops
Cloud radio access network (C-RAN) is envisaged as a potential enabler of 5G and future generation mobile networks to meet the diverse and stringent requirements of 5G use cases and application scenarios due to its promising advantages. For practical
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::df9b46c02790bb6fbfcb28790f8d063c
https://doi.org/10.1109/glocomw.2018.8644239
https://doi.org/10.1109/glocomw.2018.8644239
Publikováno v:
2017 European Conference on Networks and Communications (EuCNC)
EuCNC
EuCNC
Despite the promising benefits of the cloud-radio access network (C-RAN), the fronthaul (FH) imposes stringent requirements in terms of data rate, latency, jitter and synchronisation. In the classical C-RAN, the FH capacity scales linearly with the n
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::70c82ff05c6926868c8671b63b14549b
Publikováno v:
Transactions on Emerging Telecommunications Technologies
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=r3c4b2081b22::ff02e907866cf134469a82fb3d306672