02309naa a22003018i 4500 5323 5323 00005323 FR-PaOEC 20211006062617.0 a o d i cr || |||m|n|| 190601s2018 ||| o i|0| 0 eng d (FR-PaOEC) FR-PaOEC ES-MaONT Kumar, Ambuj 3356 Artificial intelligence for place-time convolved wireless communication networks / Ambuj Kumar Geneva : International Telecommunication Union, 2018. 9 p. texto (visual) isbdcontent electrónico isbdmedia recurso en línea rdacarrier Previous work have brought to light the dynamic and variable motions of potential network users, and other environmental factors, are the perennial and perpetual challenge to present and future wireless communications. The phenomena coined as place time capacity (PTC), and place time coverage (PTCo), with both collectively known as place time coverage and capacity (PTC.2), are derived as the outcomes of dynamics that can be expressed as the functions of place and time. These phenomena degrade the efficiency of any wireless communication network (WCN) to that lowest point, from where, a network service provider (NSP) may not have any choice but to revamp the network. Artificial intelligence (AI), on the other hand, has been striding profoundly for the past several decades, fanning out its influence in various sectors of scientific and technological developments. However, AI is almost absent in the area of WCN dimensioning and optimization, especially for place-time events. This paper revisits the two place-time functions as WCN phenomena and, with the backdrop of these aspects, shall investigate the inevitable need for AI in WCNs, as well as demonstrating how AI can be part of present and future wireless communications. Tecnologías habilitadoras digitales 18 Science and Technology 4843 ITU Journal: ICT Discoveries Vol. 2018, no. 1, p. 85-93 2018:1<85 2616-8375 itu-ilibrary.org https://www.itu.int/dms_pub/itu-s/opb/journal/S-JOURNAL-ICTS.V1I1-2018-10-PDF-E.pdf Acceso al documento 0 pdf ART udc 0 0 0 3 1 6273 01 01 online 2019-09-12 0 1000020175572 2019-09-12 00:00:00 2019-09-12 ART pdf