Cluster-then-Match: Efficient Management of Human-Centric, Cell-Less 6G Networks
CoRR(2024)
摘要
In 5G and beyond (5GB) networks, the notion of cell tends to blur, as a set
of points-of-access (PoAs) using different technologies often cover overlapping
areas. In this context, high-quality decisions are needed about (i) which PoA
to use when serving an end user and (ii) how to manage PoAs, e.g., how to set
their power levels. To address this challenge, we present Cluster-then-Match
(CtM), an efficient algorithm making joint decisions about user assignment and
PoA management. Following the human-centric networking paradigm, such decisions
account not only for the performance of the network, but also for the level of
electromagnetic field exposure to which human bodies incur and energy
consumption. Our performance evaluation shows how CtM can match the performance
of state-of-the-art network management schemes, while reducing electromagnetic
emissions and energy consumption by over 80
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