Zobrazeno 1 - 10
of 138
pro vyhledávání: '"Bodhaswar T. Maharaj"'
Publikováno v:
Applied Sciences, Vol 13, Iss 24, p 13262 (2023)
As a result of the new telecommunication ecosystem landscape, wireless communication has become an interdisciplinary field whose future is shaped by several interacting dimensions. These interacting dimensions, which form the cyber–physical converg
Externí odkaz:
https://doaj.org/article/c58b53856a5e419cabea2a0f6c52b592
Publikováno v:
IEEE Access, Vol 10, Pp 134848-134869 (2022)
In order to meet the strong diversification of services that demand network flexibility that will be able to serve the dire need for transmission resources, network slicing was embraced as a plausible solution. Reinforcement learning (RL) has been ap
Externí odkaz:
https://doaj.org/article/705f2897970642dfbb5943f7fdbea919
Publikováno v:
Array, Vol 14, Iss , Pp 100147- (2022)
Next-generation wireless sensor networks (xWSN) have applications in many emerging wireless technologies, such as fifth-generation, internet-of-things, device-to-device communications, e-health, e-agriculture, etc. For most of these xWSN applications
Externí odkaz:
https://doaj.org/article/b1afe0374a53476aa09aded65f1ea506
Publikováno v:
IEEE Access, Vol 9, Pp 113954-113996 (2021)
The spectrum low utilization and high demand conundrum created a bottleneck towards fulfilling the requirements of next-generation networks. The cognitive radio (CR) technology was advocated as a de facto technology to alleviate the scarcity and unde
Externí odkaz:
https://doaj.org/article/c88459bc35de408ab8de909d1b462da9
Publikováno v:
IEEE Access, Vol 9, Pp 114218-114234 (2021)
Congestion in dense traffic networks is a prominent obstacle towards realizing the performance requirements of 5G new radio. Since traditional adaptive traffic signal control cannot resolve this type of congestion, realizing context in the network an
Externí odkaz:
https://doaj.org/article/c3e07ecd2cad43b098dd2258f5a1fd13
Publikováno v:
IEEE Access, Vol 8, Pp 57114-57125 (2020)
The need to capture the actual network traffic condition and fundamental queueing dynamics in a massive cognitive radio network (CRN) is important for proper analysis of the intrinsic effects of spatial distribution while capturing the essential temp
Externí odkaz:
https://doaj.org/article/a72820595a6f451fa31a29cb1f40a4ff
Outage and Throughput Analysis of Cognitive Users in Underlay Cognitive Radio Networks With Handover
Publikováno v:
IEEE Access, Vol 8, Pp 208045-208057 (2020)
Interference characterization in cognitive networks with handover has received less attention in stochastic geometry-based interference management and control, especially in cognitive radio networks, because of the possibility of complicating the ana
Externí odkaz:
https://doaj.org/article/26ace6db61264f029db70599448a6d13
Publikováno v:
IEEE Access, Vol 7, Pp 78442-78453 (2019)
Cognitive radio networks have become a popular platform for many systems and applications of the future, and especially for Smart City applications and the Internet of Things. The wireless transceivers used for communicating between the different dev
Externí odkaz:
https://doaj.org/article/dd45b2c87c384f7789639264470f1cfa
Publikováno v:
Applied Sciences, Vol 11, Iss 4, p 1940 (2021)
In this paper, we investigate users’ performance under the hybrid spectrum access model in the massive cognitive radio network (CRN), where multiple primary users (PUs) and secondary users (SUs) transmit on the same channel simultaneously. SUs firs
Externí odkaz:
https://doaj.org/article/b3577c4f8003469dba7ababbc87e695f
Publikováno v:
IEEE Transactions on Vehicular Technology. 71:9912-9924
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1a4cafe406d358f669eea4f4d91d9622
https://doi.org/10.1109/tvt.2022.3178216
https://doi.org/10.1109/tvt.2022.3178216