Page 107 - First special issue on The impact of Artificial Intelligence on communication networks and services

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ARTIFICIAL INTELLIGENCE FOR PLACE-TIME CONVOLVED WIRELESS
COMMUNICATION NETWORKS

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Abstract – Previous works have brought to light that the dynamic and variable motions of potential network users,
and other environmental factors, are the eternal threat to present and future wireless communications. One of my
earlier works discusses this perennial and perpetual challenge as the place-time dependent functions. The
phenomena was coined in my work as place time capacity (PTC), and place time coverage (PTCo), with both
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collectively known as place time coverage and capacity (PTC ), 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.

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