Spectrum sharing wireless networks (16 Ergebnisse)

Zustand: New. pp. 748.

Zustand: New. In English.

Paperback. Zustand: Brand New. 100 pages. 9.25x6.10x9.21 inches. In Stock.

Zustand: New. In English.

Paperback. Zustand: Brand New. reprint edition. 100 pages. 9.25x6.10x0.32 inches. In Stock.

Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - Wireless edge networks aim to provide last-mile wireless connections between access points and diversified wireless end devices. Recent years witness the rapid development of wireless communication ecosystems including fundamental theory breakthroughs, manufacture capability improvements, as well as the explosively increasing wireless end devices and service demands.It is known that spectrum is the irreplaceable resource for wireless transmissions in edge networks. Nevertheless, it is quite challenging and inefficient to allocate dedicated spectrum for each single transmission link due to the severe shortage of spectrum resource. Alternatively, by enabling different links to use the same spectrum, spectrum sharing is envisioned to be a promising paradigm to properly accommodate the conflict between the scarce spectrum resource and substantial spectrum demands. Conventionally, model-driven optimization methods are widely adopted to optimize the spectrum sharing policy in the edge network and achieve friendly coexistence among different transmission links. However, future wireless edge network is predicted to be large-scale and heterogeneous, model-driven optimization methods will be problematic such as imperfect modelling and unacceptable overheads.Different from the existing related books on spectrum sharing or spectrum management for wireless edge networks, our book leverages the artificial intelligence (AI) to achieve smart spectrum sharing for wireless edge networks and elaborates AI-enabled spectrum sharing technique in typical scenarios, which can guide the development of next-generation spectrum sharing standards, as well as provide innovative spectrum sharing methods for related practitioners, including research fellow, lecturers, and students.…

Paperback. Zustand: Brand New. 748 pages. 10.00x7.01x1.57 inches. In Stock.

Taschenbuch. Zustand: Neu. AI-enabled Spectrum Sharing | Recent Advances In Wireless Edge Networks | Lin Zhang (u. a.) | Taschenbuch | SpringerBriefs in Computer Science | x | Englisch | 2024 | Springer | EAN 9789819776436 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu. …

Zustand: New.

Zustand: New. In English.

Hardcover. Zustand: Brand New. 418 pages. 9.75x6.75x1.00 inches. In Stock.

Zustand: New. 2020. 1st Edition. Hardback. . . . . . Books ship from the US and Ireland.

Zustand: New. pp. 720.

Gebunden. Zustand: New. Dr. John D. Matyjas earned his PhD in electrical engineering from State University of New York at Buffalo in 2004. Currently, he is serving as the Connectivity &amp Dissemination Core Technical Competency Lead at the Air Force Research .

Hardcover. Zustand: Brand New. 705 pages. 10.25x7.25x1.75 inches. In Stock.

Zustand: New. Editor(s): Matyjas, John D.; Kumar, Sunil; Hu, Fei. Num Pages: 748 pages, 236 black & white illustrations, 21 black & white tables. BIC Classification: TJKW; UT. Category: (G) General (US: Trade); (U) Tertiary Education (US: College). Dimension: 254 x 178. . . 2016. 1st Edition. hardcover. . . . . Books ship from the US and Ireland. …