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Titlebook: Cooperation and Integration in 6G Heterogeneous Networks; Resource Allocation Jun Du,Chunxiao Jiang Book 2023 The Editor(s) (if applicable

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樓主: inroad
31#
發(fā)表于 2025-3-26 22:27:26 | 只看該作者
Cooperative Resource Allocation in Heterogeneous Space-Based Networkser, the return channels of LEO satellites are unstable and discontinuous intrinsically resulting from the high orbital velocity, long revisit interval and limited ranges of ground-based radar receivers. Space-based information networks (SBIN), in which data can be delivered by the cooperative transm
32#
發(fā)表于 2025-3-27 04:35:50 | 只看該作者
33#
發(fā)表于 2025-3-27 09:15:13 | 只看該作者
34#
發(fā)表于 2025-3-27 11:58:12 | 只看該作者
35#
發(fā)表于 2025-3-27 16:01:52 | 只看該作者
Traffic Prediction Based Transmission in Satellite-Terrestrial Networkswork is constituted by multiple users and a single server. The server is operated as a cloud that can sense the traffic arrivals to each user’s queue, and then allocates the transmission resource and service rate for users. The objectives are to make configurations over time to minimize the time ave
36#
發(fā)表于 2025-3-27 17:56:30 | 只看該作者
37#
發(fā)表于 2025-3-27 22:36:08 | 只看該作者
QoS-Aware Computational Resource Allocation responding, the hybrid edge and cloud computing (ECC) system has been expected as a promising solution to handle the increasing computational applications with low-latency and on-demand services of computation offloading, which requires new computing resource sharing and access control technology p
38#
發(fā)表于 2025-3-28 04:50:07 | 只看該作者
QoS-Aware Caching Resource Allocation, caching popular videos in the storage of small base stations (SBSs) has been regarded as an efficient approach to reduce the transmission latency and alleviate the data traffic loaded over backhaul channels. This work considers a small-cell based caching market composed of one mobile network opera
39#
發(fā)表于 2025-3-28 09:40:34 | 只看該作者
Priority-Aware Computational Resource Allocationrvers. Comparing with accessing the remote cloud, VFC is suitable for delay-sensitive tasks because of its low-latency vehicle-to-vehicle (V2V) transmission. However, due to the dynamic vehicular environment, how to motivate vehicles to share their idle computing resource while simultaneously evalua
40#
發(fā)表于 2025-3-28 10:31:45 | 只看該作者
Energy-Aware Computational Resource Allocationngs (IoT) devices. For a multi-device multi-server MEC system, the frequently varied harvested energy, along with changeable computation task loads and time-varying computation capacities of servers, increase the system’s dynamic. Therefore, each device should learn to make coordinated actions, such
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