Human-Centric Decision-Making in Cell-Less 6G Networks
Fuente:
arXiv
Saved in:
| Main Authors: | , , , , , |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1866913453063536640 |
|---|---|
| author | Chiaramello, Emma Chiasserini, Carla Fabiana Malandrino, Francesco Nordio, Alessandro Parazzini, Marta Valcarce, Alvaro |
| author_facet | Chiaramello, Emma Chiasserini, Carla Fabiana Malandrino, Francesco Nordio, Alessandro Parazzini, Marta Valcarce, Alvaro |
| contents | In next-generation networks, cells will be replaced by a collection of points-of-access (PoAs), with overlapping coverage areas and/or different technologies. Along with a promise for greater performance and flexibility, this creates further pressure on network management algorithms, which must make joint decisions on (i) PoA-to-user association and (ii) PoA management. We solve this challenging problem through an efficient and effective solution concept called Cluster-then-Match (CtM). Importantly, CtM makes human-centric decisions, where pure network performance is balanced against metrics like energy consumption and electromagnetic field exposure, which concern all humans in the network area -- including those who are not network users. Through our performance evaluation, which leverages detailed models for EMF exposure estimation and standard-specified signal propagation models, we show that CtM outperforms state-of-the-art network management schemes, including those utilizing machine learning, reducing energy consumption by over 80%. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2402_14344 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | Human-Centric Decision-Making in Cell-Less 6G Networks Chiaramello, Emma Chiasserini, Carla Fabiana Malandrino, Francesco Nordio, Alessandro Parazzini, Marta Valcarce, Alvaro Networking and Internet Architecture In next-generation networks, cells will be replaced by a collection of points-of-access (PoAs), with overlapping coverage areas and/or different technologies. Along with a promise for greater performance and flexibility, this creates further pressure on network management algorithms, which must make joint decisions on (i) PoA-to-user association and (ii) PoA management. We solve this challenging problem through an efficient and effective solution concept called Cluster-then-Match (CtM). Importantly, CtM makes human-centric decisions, where pure network performance is balanced against metrics like energy consumption and electromagnetic field exposure, which concern all humans in the network area -- including those who are not network users. Through our performance evaluation, which leverages detailed models for EMF exposure estimation and standard-specified signal propagation models, we show that CtM outperforms state-of-the-art network management schemes, including those utilizing machine learning, reducing energy consumption by over 80%. |
| title | Human-Centric Decision-Making in Cell-Less 6G Networks |
| topic | Networking and Internet Architecture |
| url | https://arxiv.org/abs/2402.14344 |