Zobrazeno 1 - 10
of 21
pro vyhledávání: '"Marvin Manalastas"'
Autor:
Marvin Manalastas, Muhammad Nabeel, Aneeqa Ijaz, Syed Muhammad Asad Zaidi, Usama Masood, Haneya Naeem Qureshi, Hazem Refai, Ali Imran
Publikováno v:
IEEE Access, Vol 10, Pp 39810-39824 (2022)
Prior to standardization, new features, algorithms, and solutions have to be rigorously evaluated and verified using different methods. In this regard, testbeds are considered as one of the most important and effective experimental platforms for perf
Externí odkaz:
https://doaj.org/article/1b09cbe08ff44cba9ceffba8e3e9b414
Autor:
Haneya Naeem Qureshi, Marvin Manalastas, Syed Muhammad Asad Zaidi, Ali Imran, Mohamad Omar Al Kalaa
Publikováno v:
IEEE Access, Vol 9, Pp 1044-1061 (2021)
5G and beyond networks will transform the healthcare sector by opening possibilities for novel use cases and applications. Service level agreements (SLAs) can enable 5G-enabled medical device use cases by documenting how a medical device communicatio
Externí odkaz:
https://doaj.org/article/cc2ada19e184434fa41697b5f065a1f5
Publikováno v:
IEEE Access, Vol 8, Pp 82938-82950 (2020)
The rapid evolution of cellular system design towards 5G and beyond gives rise to a need for investigation of the new features, design proposals and solutions in realistic settings for various deployments and use case scenarios. While many system lev
Externí odkaz:
https://doaj.org/article/45533b2a9fa64927beadd3fc65201af0
Publikováno v:
IEEE Access, Vol 8, Pp 183505-183533 (2020)
The exponential rise in mobile traffic originating from mobile devices highlights the need for making mobility management in future networks even more efficient and seamless than ever before. Ultra-Dense Cellular Network vision consisting of cells of
Externí odkaz:
https://doaj.org/article/a6d2c054a58f480db3fed04e3a5f8b88
Autor:
Haneya Naeem Qureshi, Marvin Manalastas, Aneeqa Ijaz, Ali Imran, Yongkang Liu, Mohamad Omar Al Kalaa
Publikováno v:
Healthcare, Vol 10, Iss 2, p 293 (2022)
Fifth generation (5G) mobile communication technology can enable novel healthcare applications and augment existing ones. However, 5G-enabled healthcare applications demand diverse technical requirements for radio communication. Knowledge of these re
Externí odkaz:
https://doaj.org/article/d5719b0a9b904882b107c471c7b6fc14
Autor:
Haneya Naeem Qureshi, Marvin Manalastas, Muhammad Umar Bin Farooq, Ali Imran, Yongkang Liu, Mohamad Omar Al Kalaa
Publikováno v:
IEEE Network. :1-16
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2a8a8b9e7f9d869410b39d7e18c4e654
https://doi.org/10.1109/mnet.125.2200243
https://doi.org/10.1109/mnet.125.2200243
Publikováno v:
IEEE Network. :1-17
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::012e5c5aaba29231a4250e5783834cb6
https://doi.org/10.1109/mnet.006.2100377
https://doi.org/10.1109/mnet.006.2100377
Autor:
Marvin Manalastas, Muhammad Umar Bin Farooq, Syed Muhammad Asad Zaidi, Adnan Abu-Dayya, Ali Imran
Publikováno v:
IEEE Transactions on Vehicular Technology. 71:6158-6172
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::475268b2e15e46d9e474420645c1b468
https://doi.org/10.1109/tvt.2022.3157802
https://doi.org/10.1109/tvt.2022.3157802
Autor:
Muhammad Umar Bin Farooq, Marvin Manalastas, Waseem Raza, Syed Muhammad Asad Zaidi, Ali Rizwan, Adnan Abu-Dayya, Ali Imran
Publikováno v:
IEEE Transactions on Cognitive Communications and Networking. 8:570-583
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7a76124825e5f56110ebd1412047ce2e
https://doi.org/10.1109/tccn.2022.3152510
https://doi.org/10.1109/tccn.2022.3152510
Machine Learning-Based Handover Failure Prediction Model for Handover Success Rate Improvement in 5G
Autor:
Marvin Manalastas, Muhammad Umar Bin Farooq, Syed Muhammad Asad Zaidi, Aneeqa Ijaz, Waseem Raza, Ali Imran
Publikováno v:
2023 IEEE 20th Consumer Communications & Networking Conference (CCNC).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6769037ad5c5bbe243eee39f7872f2ab
https://doi.org/10.1109/ccnc51644.2023.10060203
https://doi.org/10.1109/ccnc51644.2023.10060203