Abstract: This paper describes a byte-oriented binary transmission code and its implementation. This code is particularly well suited for high-speed local area networks and similar data links, where ...
Abstract: Deep reinforcement learning is the combination of reinforcement learning (RL) and deep learning. This field of research has recently been able to solve a wide range of complex ...
Abstract: The trajectory planning of multiple unmanned aerial vehicles (UAVs) is the core of efficient UAV mission execution. Existing studies have mainly transformed this problem into a ...
Abstract: This paper presents the first discrete-time distributed algorithm to track the tightest ellipsoids that outer approximates the global dynamic intersection of ellipsoids. Given an undirected ...
Abstract: Utilizing the unbiasedness criterion, this article proposes a bias-compensated normalized Euclidean direction search (BC-NEDS) algorithm with noisy inputs, which can effectively mitigate the ...
Abstract: Microgrids require efficient control schemes to achieve high penetration of power converters. Modelbased control is widely used in converters due to its ease, but it poses challenges when ...
Persistent Link: https://ieeexplore.ieee.org/servlet/opac?punumber=9944983 ...
Persistent Link: https://ieeexplore.ieee.org/servlet/opac?punumber=18 ...
Abstract: This paper explores the potential of employing rate-splitting multiple access to enhance the achievable rate and energy efficiency (EE) of an uplink cell-free massive multiple-input multiple ...
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