Abstract: This study seeks to optimize useful resource allocation in 6G cell networks through spectrum-sharing algorithms. Particularly, the proposed solution makes use of the concept of a couple of ...
Abstract: To achieve higher throughput, the concept of edge computing on mobile devices has emerged. Subsequently, the idea of MEC was enhanced to satellite edge computing (SEC) to provide broader ...
Abstract: SRAM-based FPGA is widely used in military and aerospace applications because of its flexibility and programmability. Therefore, the reliability of FPGA is particularly important. The ...
Object detection is a critical task in various real-time applications, including surveillance, autonomous vehicles, and industrial automation, especially within the emerging paradigms of Industry 5.0 ...
Abstract: Satisfying users' requests based on the service level agreements of network slices is one of the most basic and vital topics of network slicing in 6G networks, and anomaly detection is ...
Abstract: This paper proposes a dynamic multi-agent reinforcement learning model DMARL-RAP. The algorithm constructs a three-dimensional state space, integrates historical resource data (time series ...
Abstract: How to make full use of limited satellite resources and the spatial flexibility of beams to manage these traffic demands is a critical challenge that must be urgently addressed in beam ...
Abstract: Integrating Unmanned Aerial Vehicles (UAVs) into Vehicular Edge Computing (VEC) establishes UAV-enabled VEC, effectively addressing potential degradation of offloading per-formance caused by ...
Abstract: This article proposes a resource allocation framework for LEO satellite-HAP communication scenario. To achieve maximum resource satisfaction with minimal resource cost and ensure resource ...
Amid the war with Iran, the president has proposed to scale back some of the very programs meant to ease families’ financial burdens. By Tony Romm and Annie Karni Reporting from Washington For decades ...
Abstract: In the era of intelligent recruitment and digital workforce management, accurately matching job candidates to suitable roles is a key challenge in human resource optimization. This study ...
Abstract: This paper focuses on the multi-objective resource allocation problem in multi-agent systems, where the objective is to find an optimal allocation policy. To solve this problem, we propose ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results