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06/23/2023
On the Functions Which are CCZ-equivalent but not EA-equivalent to Quadratic Functions over 𝔽_p^n
For a given function F from 𝔽_p^n to itself, determining whether there e...
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01/23/2023
cc-differential uniformity, (almost) perfect cc-nonlinearity, and equivalences
In this article, we introduce new notions cc-differential uniformity, cc...
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01/20/2023
Multi-agent Reinforcement Learning with Graph Q-Networks for Antenna Tuning
Future generations of mobile networks are expected to contain more and m...
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05/23/2022
On non-monimial APcN permutations over finite fields of even characteristic
Recently, a new concept called the c-differential uniformity was propose...
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03/14/2022
Low c-Differential Uniformity of the Swapped Inverse Function in Odd Characteristic
The study of Boolean functions with low c-differential uniformity has be...
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03/11/2022
Deep Learning for Wireless Dynamics
This paper aims to predict radio channel variations over time by deep le...
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02/04/2022
Investigations of c-Differential Uniformity of Permutations with Carlitz Rank 3
The c-differential uniformity is recently proposed to reflect resistance...
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01/06/2022
Learning Optimal Antenna Tilt Control Policies: A Contextual Linear Bandit Approach
Controlling antenna tilts in cellular networks is imperative to reach an...
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12/27/2021
A Graph Attention Learning Approach to Antenna Tilt Optimization
6G will move mobile networks towards increasing levels of complexity. To...
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11/20/2021
Fueling the Next Quantum Leap in Cellular Networks: Embracing AI in 5G Evolution towards 6G
Cellular networks, such as 5G systems, are becoming increasingly complex...
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09/10/2021
Multi-agent deep reinforcement learning (MADRL) meets multi-user MIMO systems
A multi-agent deep reinforcement learning (MADRL) is a promising approac...
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09/18/2020
On the Boomerang Uniformity of Permutations of Low Carlitz Rank
Finding permutation polynomials with low differential and boomerang unif...
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06/30/2020
Deep reinforcement learning approach to MIMO precoding problem: Optimality and Robustness
In this paper, we propose a deep reinforcement learning (RL)-based preco...
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05/21/2020