星地融合中继网络时延与能耗边缘优化卸载策略

doi:10.11959/j.issn.2096-3750.2022.00289

Abstract

Abstract:

The integrated satellite-terrestrial relay network (ISTRN) is a necessary part of the next-generation wireless communication system, and has important practical significance for accelerating the construction of my country's air-space-terrestrial integrated network system.In the traditional ISTRN architecture, a large amount of signaling needs to be forwarded to the ground control center for processing, which increases the delay of network control and management.A new cloud fog computing architecture was proposed, which constructs a sub-regional edge fog computing layer between the ground access and the central cloud to improve the flexibility of business flow management and control.Under the cloud network framework, a Q-learning based edge computing offloading strategy was designed, and the offloading performance was evaluated by time delay and energy consumption.Simulation results show that, compared with Min-min algorithm and backtracking algorithm, Q-learning based computational offload algorithm has better performance in terms of time delay and energy consumption, and can achieve a balance between the joint optimization of time delay and energy consumption.

Key words: integrated satellite-terrestrial relay network, multi-access edge computing, cloud fog network, offloading strategy, Q-learning

CLC Number:

TP319

Meinan ZHANG, Mingqi ZHANG, Fei DING, Hengheng ZHUANG, Hairong MA. Offloading strategy with edge optimization of time delay and energy consumption in integrated satellite-terrestrial relay network[J]. Chinese Journal on Internet of Things, 2022, 6(3): 124-132.

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References 30

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参数	描述
e	单位能量消耗常数
μ	发射放大器的单位能量消耗常数
n	传播衰减指数
k	数据量大小/bit
d	数据传输距离

参数	数值
系统带宽	20 MHz
信道噪声功率	-104 dBm
单个任务大小	[10,50]GB
雾节点数	5
雾节点空闲状态能耗	[1,10]×10^-10J
雾节点CPU	{100,100,200, 300,150} GHz
CPU周期数/bit	[500,1 500]周期/bit

Offloading strategy with edge optimization of time delay and energy consumption in integrated satellite-terrestrial relay network

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