24 citations · 32 across the 10 of their papers we have counts for
5 papers · 1 filter
A Survey on AI-driven Energy Optimisation in Terrestrial Next Generation Radio Access Networks
Kishan Sthankiya, Nagham Saeed, Greg McSorley +2
This survey uncovers the tension between AI techniques designed for energy saving in mobile networks and the energy demands those same techniques create. We compare modeling approa…
AI-Ready Energy Modelling for Next Generation RAN
Kishan Sthankiya, Keith Briggs, Mona Jaber +1
Recent sustainability drives place energy-consumption metrics in centre-stage for the design of future radio access networks (RAN). At the same time, optimising the trade-off betwe…
A low complexity contextual stacked ensemble-learning approach for pedestrian intent prediction
Chia-Yen Chiang, Yasmin Fathy, Gregory Slabaugh +1
Walking as a form of active travel is essential in promoting sustainable transport. It is thus crucial to accurately predict pedestrian crossing intention and avoid collisions, esp…
Enabling Distributed Generative Artificial Intelligence in 6G: Mobile Edge Generation
Ruikang Zhong, Xidong Mu, Mona Jaber +1
Mobile edge generation (MEG) is an emerging technology that allows the network to meet the challenging traffic load expectations posed by the rise of generative artificial intellig…
AllTheDocks road safety dataset: A cyclist's perspective and experience
Chia-Yen Chiang, Ruikang Zhong, Jennifer Ding +3
Active travel is an essential component in intelligent transportation systems. Cycling, as a form of active travel, shares the road space with motorised traffic which often affects…