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Online convex optimization in wireless networks and beyond: The feedback-performance trade-off
The high degree of variability present in current and emerging mobile wireless networks
calls for mathematical tools and techniques that transcend classical (convex) optimization …
calls for mathematical tools and techniques that transcend classical (convex) optimization …
Design and implementation of energy-efficient hybrid data aggregation in heterogeneous wireless sensor network
Heterogeneous wireless sensor network (HWSN) is a trending technology in both the
industrial and academic sectors, consisting of a large number of interconnected sensors …
industrial and academic sectors, consisting of a large number of interconnected sensors …
Exploiting side information for improved online learning algorithms in wireless networks
In wireless networks, the transmitter adapts its parameters based on the receiver's feedback
to achieve a high throughput. The throughput also depends on factors like interference level …
to achieve a high throughput. The throughput also depends on factors like interference level …
Deep learning techniques for power allocation problems in cognitive relay-aided networks.
Y Benatia - 2023 - hal.science
Future generations of wireless networks face great expectations in terms of network ca-
pacity, system throughput, user density, all on a tight energy budget. In order to reach such …
pacity, system throughput, user density, all on a tight energy budget. In order to reach such …