傻
发表于 2025-3-25 03:50:10
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高歌
发表于 2025-3-25 07:45:25
Dynamic Computation Offloading for Energy Efficiency in Mobile Edge Computing,r challenges faced with this problem. For example, the uncertainty of wireless channel states and the dynamics of task arrivals make it very complex to solve this problem. In this chapter, we take advantage of stochastic optimization techniques to solve this problem, and propose the distributed EEDC
Admonish
发表于 2025-3-25 15:30:40
Energy Efficient Offloading and Frequency Scaling for Internet of Things Devices,ed into two sub-problems. Then, a Computation Offloading and Frequency Scaling for Energy Efficiency (COFSEE) algorithm for online task offloading and frequency transformation is proposed. Our algorithm can solve optimal subproblems in parallel. We evaluate the performance of COFSEE algorithm throug
Hypomania
发表于 2025-3-25 19:33:10
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Clinch
发表于 2025-3-25 20:44:29
Energy-Efficient Multi-Task Multi-Access Computation Offloading via NOMA,annel realizations in the dynamic scenario, this chapter proposes an online algorithm, which is based on deep reinforcement learning (DRL), to efficiently learn the near-optimal offloading solutions for the time-varying channel realizations. Numerical results are provided to validate the proposed la
史前
发表于 2025-3-26 03:21:13
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Gentry
发表于 2025-3-26 05:20:51
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burnish
发表于 2025-3-26 12:07:56
Soziale Identitäten Jugendlicherng, and proposes the energy-efficient computation offloading solutions. Since the wireless channel state and task request arrival process are stochastic and dynamic, designing a dynamic and energy-efficient task offloading strategy faces severe challenges. This chapter introduces the background and
漫不经心
发表于 2025-3-26 14:37:19
Degener Theresia,Mogge-Grotjahn Hildegardr challenges faced with this problem. For example, the uncertainty of wireless channel states and the dynamics of task arrivals make it very complex to solve this problem. In this chapter, we take advantage of stochastic optimization techniques to solve this problem, and propose the distributed EEDC
天空
发表于 2025-3-26 17:29:14
,Das europäische Mehrebenensystem,ed into two sub-problems. Then, a Computation Offloading and Frequency Scaling for Energy Efficiency (COFSEE) algorithm for online task offloading and frequency transformation is proposed. Our algorithm can solve optimal subproblems in parallel. We evaluate the performance of COFSEE algorithm throug