Zobrazeno 1 - 10
of 78
pro vyhledávání: '"Massimo Condoluci"'
Publikováno v:
IEEE Access, Vol 11, Pp 74473-74485 (2023)
The growing interest in new applications involving co-located heterogeneous requirements, such as the Industrial Internet of Things (IIoT) paradigm, poses unprecedented challenges to the uplink wireless transmissions. Dedicated scheduling has been th
Externí odkaz:
https://doaj.org/article/2e7c60c0437a4730833fdd3849e32644
Publikováno v:
IEEE Access, Vol 10, Pp 88941-88955 (2022)
Cell selection in cellular networks is an important aspect that impacts the quality of service. The traditional cell selection mechanism is based on downlink received power. Despite the dense deployment of macrocells, mobile network operators are sti
Externí odkaz:
https://doaj.org/article/77c645c623874aa1bf2a38b745db12dc
Autor:
Evgeny Khorov, Alexander Krotov, Andrey Lyakhov, Ruslan Yusupov, Massimo Condoluci, Mischa Dohler, Ian Akyildiz
Publikováno v:
IEEE Access, Vol 7, Pp 127402-127415 (2019)
IEEE 802.11ah, a new amendment to the Wi-Fi standard, adapts Wi-Fi networks to the emerging Internet of Things (IoT). A key component of .11ah is the Restricted Access Window (RAW), a new channel access mechanism, which reduces contention when even t
Externí odkaz:
https://doaj.org/article/3bdd299ddc454e7785f23750cb9d4a7d
Publikováno v:
IEEE Access, Vol 5, Pp 10445-10455 (2017)
The emerging Tactile Internet (TI) will enable control-oriented networks for remotely accessing or manipulating objects or devices. One major challenge in this context is how to achieve ultra-low-delay communication between the local operator and the
Externí odkaz:
https://doaj.org/article/222ff10be2674cd19ce64e29b6993722
Publikováno v:
IEEE Access, Vol 4, Pp 5555-5569 (2016)
The Internet of Things (IoT) will shortly be undergoing a major transformation from a sensor-driven paradigm to one that is heavily complemented by actuators, drones, and robots. The real-time situational awareness of such active systems requires sen
Externí odkaz:
https://doaj.org/article/0174828c01eb4702abed36209c6f51dc
Publikováno v:
International Journal of Distributed Sensor Networks, Vol 14 (2018)
We model a wireless sensors’ connectivity scenario mathematically and analyze it using capacity provision mechanisms, with the objective of maximizing the profits of a network operator. The scenario has several sensors’ clusters with each one hav
Externí odkaz:
https://doaj.org/article/8656d16e283e41e7924c8c4267d9e31f
Autor:
Massimo Condoluci, Laurent Gallo, Laurent Mussot, Apostolos Kousaridas, Panagiotis Spapis, Maliheh Mahlouji, Toktam Mahmoodi
Publikováno v:
Future Internet, Vol 11, Iss 10, p 217 (2019)
One of the goals of the 5G Communication Automotive Research and innovation (5GCAR) project has been to evaluate and propose system architecture enhancements aiming at supporting the strict requirements of vehicle-to-everything (V2X) use cases. In th
Externí odkaz:
https://doaj.org/article/4afa522abe9a42e5be34ac684c45b5dc
Publikováno v:
Electronic Journal of Differential Equations, Vol 2013, Iss 165,, Pp 1-10 (2013)
Nowadays, the growing demand for group-oriented services over mobile devices has lead to the definition of new communication standards and multimedia applications in cellular systems. In this article we study the use of game theoretic solutions for t
Externí odkaz:
https://doaj.org/article/c12c6b0a3dcf486bba6cde12ae1a5570
Autor:
Toktam Mahmoodi, Apostolos Kousaridas, YunXi Li, Maliheh Mahlouji, Laurent Mussot, Massimo Condoluci
Publikováno v:
Cellular V2X for Connected Automated Driving
This chapter discusses two primary facets of supporting an enhanced application adaptation. The first is network enhancements: in particular, enhancing the interaction between network and application. Second, the chapter discusses how to apply the en
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6acd1fd84e56b42b660bfc6773140504
https://doi.org/10.1002/9781119692676.ch7
https://doi.org/10.1002/9781119692676.ch7
Publikováno v:
Cellular V2X for Connected Automated Driving. :191-206
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e50bbf07c685a25bf1ae2284f0b03940
https://doi.org/10.1002/9781119692676.ch6
https://doi.org/10.1002/9781119692676.ch6