Dynamic resource allocation in leo satellite
WebJan 1, 2024 · Due to the characteristics of global coverage, on-demand access, and large capacity, the low earth orbit (LEO) satellite communication (SatCom) has become one promising technology to support the ... WebMay 13, 2024 · constraints, collaborative computing and resource allocation among LEO networks are jointly investigated in this paper, and the joint task offloading, scheduling, and resource allocation is formulated as a dynamic mixed-integer problem. To tack the complex problem, we decouple it into two subproblems with low complexity.
Dynamic resource allocation in leo satellite
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WebOct 24, 2024 · The scheduling of resources in satellite networks is an ongoing research area and there have been some important studies. Authors in [] considered the … WebJun 24, 2024 · A network architecture of LEO satellite that utilizes a centralized resource pool and designs a combination allocation of fixed channel preallocation and dynamic …
WebApr 10, 2024 · Due to numerous Low Earth Orbit (LEO) satellites, urgent analysis of many temporary inter-satellite links (ISLs) is necessary for mega constellation networks. Therefore, introducing a dynamic link in topology design is crucial for increasing constellation redundancy and improving routing options. This study presents one class of … Web1. Dynamic resource allocation to adapt to the varying condition of the wireless link and real-time need of the application. 2. Adaptive modulation and coding to minimize wireless …
Web1) A dynamic game-based resource pricing and allocation model for LEO satellites, to control service price and resources for mobile users, is proposed. 2) The resource price is formulated as the dynamic state of the LEO satellites, the variation of which is affected by the resource allocation strategy. 3) Each satellite controls the resource ... WebAug 9, 2024 · In DeepCA, a novel reinforcement learning based approach for energy-efficient channel allocation in SIoT, a new sliding block scheme is introduced to facilitate the modeling of dynamic feature of the LEO satellite, and a deep reinforcement learning algorithm is proposed for optimal channel allocation. 28 PDF View 2 excerpts, cites …
WebApr 11, 2024 · To facilitate IoT communications over LEO SatCom, in this paper, we propose the cognitive LEO satellite system, where the IoT users act as the secondary user to access the legacy LEO satellites ...
WebInternet of Things (IoT) computing offloading is a challenging issue, especially in remote areas where common edge/cloud infrastructure is unavailable. In this paper, we present a space-air-ground integrated network (SAGIN) edge/cloud computing architecture for offloading the computation-intensive applications considering remote energy and … cryphia muralisWebDec 31, 2024 · Abstract A low Earth orbit (LEO) satellite constellation could be used to provide network coverage for the entire globe. This study considers multi-beam … duo dignity health remoteWebSep 4, 2024 · Here, we propose 2 novel service cells algorithms for LEO stepping beam constellations: The Dynamic Service cells Beam Allocation (DSBA) that computes the … cryphoeca exlineaeWebDec 31, 2024 · A low Earth orbit (LEO) satellite constellation could be used to provide network coverage for the entire globe. This study considers multi-beam frequency reuse in LEO satellite systems. In such a system, the channel is time-varying due to the fast movement of the satellite. cryphesWebAllocating resources dynamically to projects means that the allocation is linked to the project plan. In concrete terms, the resource Meier is not simply allocated to project 7 for … duo device health app installWebin LEO satellite communication systems aims to distribute available time-frequency and space resources among users, resulting in minimization of total satellite power consump- duo dickinson architectWebThis paper proposes an optimal computational resource allocation scheme for LEO satellite based on the on-board resource pool architecture. This scheme considers the fairness among users in the allocation process. Furthermore, the optimal solution is obtained by augmented Lagrange multiplier method. The numerical results verify the crypho