Danda B. Rawat; Lalit K. Awasthi; Valentina Emilia Balas; Mohit Kumar; Jitendra Kumar Samriya John Wiley & Sons Inc (2023) Saatavuus: Tilaustuote Kovakantinen kirja
Jaime Lloret Mauri; Kayhan Zrar Ghafoor; Danda B. Rawat; Javier Manuel Aguiar Perez Taylor & Francis Inc (2014) Saatavuus: Tilaustuote Kovakantinen kirja
Jaime Lloret Mauri; Sabu M. Thampi; Danda B. Rawat; Di Jin Springer-Verlag Berlin and Heidelberg GmbH & Co. KG (2014) Saatavuus: Tilaustuote Pehmeäkantinen kirja
Houbing Herbert Song; Danda B. Rawat; Sabina Jeschke; Christian Brecher Elsevier Science Publishing Co Inc (2016) Saatavuus: Tilaustuote Pehmeäkantinen kirja
Sabu M. Thampi (ed.); Sanjay Madria (ed.); Guojun Wang (ed.); Danda B. Rawat (ed.); Jose M. Alcaraz Calero (ed.) Springer (2019) Saatavuus: Tilaustuote Pehmeäkantinen kirja
Jaime Lloret Mauri; Kayhan Zrar Ghafoor; Danda B. Rawat; Javier Manuel Aguiar Perez Taylor & Francis Ltd (2017) Saatavuus: Tilaustuote Pehmeäkantinen kirja
Sabu M. Thampi (ed.); Guojun Wang (ed.); Danda B. Rawat (ed.); Ryan Ko (ed.); Chun-I Fan (ed.) Springer (2021) Saatavuus: Tilaustuote Pehmeäkantinen kirja
Sara Paiva (ed.); Xuejun Li (ed.); Sérgio Ivan Lopes (ed.); Nishu Gupta (ed.); Danda B. Rawat (ed.); Asma Patel (ed.); Kar Springer (2022) Saatavuus: Tilaustuote Pehmeäkantinen kirja
Springer Sivumäärä: 69 sivua Asu: Pehmeäkantinen kirja Painos: 2015 Julkaisuvuosi: 2015, 25.03.2015 (lisätietoa) Kieli: Englanti
This SpringerBrief presents adaptive resource allocation schemes for secondary users for dynamic spectrum access (DSA) in cognitive radio networks (CRNs) by considering Quality-of-Service requirements, admission control, power/rate control, interference constraints, and the impact of spectrum sensing or primary user interruptions. It presents the challenges, motivations, and applications of the different schemes. The authors discuss cloud-assisted geolocation-aware adaptive resource allocation in CRNs by outsourcing computationally intensive processing to the cloud. Game theoretic approaches are presented to solve resource allocation problems in CRNs. Numerical results are presented to evaluate the performance of the proposed methods. Adaptive Resource Allocation in Cognitive Radio Networks is designed for professionals and researchers working in the area of wireless networks. Advanced-level students in electrical engineering and computer science, especially those focused on wireless networks, will find this information helpful.
