Abstract This paper proposes a learning policy to improve the energy efficiency (EE) of heterogeneous cellular networks.The combination of active and inactive base stations (BS) that allows for maximizing EE is identified as a combinatorial learning problem and requires high computational complexity as well as a large signaling overhead.This paper
Energy prices have gone up gradually since last year, but a drastic hike has been observed recently in the past couple of months, affecting people’s thrift.This, coupled with the load shedding and energy shortages in some parts of the world, led many to show anger and bitterness on the streets and on social media.Despite subsidies offered by
Robust localization and mapping are crucial for autonomous systems, but traditional handcrafted feature-based visual SLAM often struggles in Bosch Serie 4 GSN29VW3VG No Frost 161x60cm 200L Freestanding Upright Freezers challenging, textureless environments.Additionally, monocular SLAM lacks scale-aware depth perception, making accurate scene scale