coherent 发表于 2025-3-21 18:13:39
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s proposed in this paper to address the problem of slow convergence of the DQN algorithm, which can adapt to different service scenarios in future networks faster. The simulation results show that the proposed algorithm can effectively improve training efficiency and service deployment effects.没收 发表于 2025-3-22 03:45:33
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http://reply.papertrans.cn/76/7566/756598/756598_4.png恶心 发表于 2025-3-22 12:34:20
the joint optimization problem is formulated as an overall task latency minimization problem. As the original optimization problem is NP hard, which cannot be solved conveniently, we transform it into three subproblems, i.e., CNN layer scheduling subproblem, task offloading subproblem and resource a典型 发表于 2025-3-22 15:31:51
ng according to the periodicity of the monitoring data and the suddenness of the demand response. Then it adopts the iterative cyclic scheduling to adjust the transmission of data packets in time by adaptively sensing the changes of the traffic flow. The simulation results show that the proposed algsynchronous 发表于 2025-3-22 20:37:20
o separate subproblems. The closed-form solutions are derived in two subproblems under certain special conditions. Simulation results demonstrate that the proposed dynamic resource allocation is significantly superior to the constant resource allocation scheme.售穴 发表于 2025-3-22 22:55:51
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ccomplish, so only DOA (Direction of Arrival) and RSSI principles can be considered. In this paper, we firstly use 5G to perform high-precision positioning of cluster nodes according to the principles of TDOA (Time Difference of Arrival). Based on the solution space (x . ε., y . ε.), the NB-IoT term技术 发表于 2025-3-23 07:09:41
designed algorithms including reference frame determination and rate control strategies were also included to limit the computational complexity and improve the coding efficiency while obtaining promising user experience. Experimental results showed that the proposed system can significantly reduce