LEO卫星网络中MEC服务管理与任务迁移优化方法

doi:10.11959/j.issn.2096-8930.2022034

Abstract

Abstract:

Low earth orbit (LEO) satellites play an important role in the communication of earth observation and wide area coverage because of their advantages of short transmission delay and low deployment cost.Due to limited size and weight of LEO satellite platform, the function of each LEO satellite node is relatively single, which requires effi cient collaboration among various LEO satellite nodes to form a high-performance satellite network with decentralized functions and converged capabilities.It puts forward certain requirements for network service management.Aiming at the cooperative scenario that remote sensing satellites migrate observated task data to LEO satellite constellation with mobile edge computing (MEC) service deployed, the MEC service management model based on software defi ned network in LEO satellite networks was studied, a cross-slot task migration optimization method with the aid of time extended graph was proposed.The simulation results showed that the task migration optimization method could eff ectively reduced the cost of observation satellite processing tasks.And it could off ered the management model for LEO satellite networks that deployed MEC servers.

Key words: LEO satellite networks, MEC-enabled satellite, mission migration, network management

CLC Number:

TP393

Zhihui LIU, Huan WEI, Jie YIN, Junyi WANG, Shichao JIN, Tao DONG. Management of MEC Service and Optimization of Mission Migration in LEO Satellite Networks[J]. Space-Integrated-Ground Information Networks, 2022, 3(3): 72-80.

Figures/Tables 8

符号	符号含义
M	观测用户的数目
N	MEC-LEO卫星数
K	所研究的总时隙数
τ_k	第k个时隙
$T$	时隙集合 $T = {τ_{1}, τ_{2}, \dots, τ_{k}, \dots, τ_{K}}$
$d_{m_{τ_{k}}}$	τ_k时隙用户m需处理的数据量
$D$	用户卸载数据集合 $D = {d_{m}^{τ_{k}}}_{M \times K}$
$φ_{m_{τ_{k}} n_{τ_{k}}}$	用户m卸载单位数据到LEO卫星n所需支付的成本
$a_{m_{τ_{k}} n_{τ_{k}}}$	用户m数据卸载到LEO卫星n的迁移率
$A$	卸载迁移率矩阵 $A = {a_{m_{τ_{k}} n_{τ_{k}}}}_{M \times N \times K}$
$l_{m_{τ_{k}} n_{τ_{k}}}$	时隙τ_k内用户m与LEO卫星n之间的距离
$L$	距离集合 $L = {l_{m_{τ_{k}} n_{τ_{k}}}}_{M \times N \times K}$
$L_{\max}$	遥感卫星m到LEO卫星n的最大可承受卸载链路距离
$w_{m_{τ_{k}} n_{τ_{k}}}$	遥感卫星m是否卸载数据到LEO卫星n的决策变量

符号	含义	取值
$G_{m_{τ_{k}} n_{τ_{k}}}$	遥感观测卫星m到MEC-LEO卫星n的视距通信系数	2.2846
$g_{m_{τ_{k}} n_{τ_{k}}}$	星间单位距离下的信道功率增益	1.42×10^-4km²
N_o	高斯白噪声功率谱密度	10^-20W/Hz
B	遥感观测卫星星间链路的信道带宽	300 MHz
$P_{m_{τ_{k}} n_{τ_{k}}}$	遥感观测卫星数据传输功率	1W
$K_{m}^{c} 、 K_{n}^{mec}$	遥感观测卫星m、MEC-LEO卫星n的CPU功耗系数	10^-25
$f_{m}^{c} 、 f_{n}^{mec}$	遥感观测卫星m、MEC-LEO卫星n的CPU周期频率	2×10⁹cycle/s
$λ_{m}^{c} 、 λ_{n}^{mec}$	遥感观测卫星m、MEC-LEO卫星n的执行数据与CPU周期需求量之间的关系系数	1000 cycle/bit
$δ^{RS} 、 δ^{MEC}$	遥感观测卫星、MEC-LEO卫星对数据压缩计算的系数	1、5
$C_{m_{τ_{k}} m_{τ_{k + 1}}} 、 C_{n_{τ_{k}}}^{MEC - \max}$	单位时间片内，遥感观测卫星虚拟链路缓存容量、MEC-LEO卫星内存容量	125 GB、512 GB
$E_{m_{τ_{k}}}^{RS - \max} 、 E_{n_{τ_{k}}}^{MEC - \max}$	单位时间片内，遥感观测卫星、MEC-LEO卫星的可用能量上限	3×10¹⁰J
$ρ_{m_{τ_{k}} n_{τ_{k}}}$	成本归一化因子遥感观测卫星卸载单位数据所需费用	1
$φ_{m_{τ_{k}} n_{τ_{k}}}$	遥感观测卫星卸载单位数据所需费用	10^-10元/bit
N_RS	遥感观测卫星用于星间传输数据的天线数量	4幅

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遥感观测卫星序号	半长轴／km	偏心率	轨道倾角	近地点角	升交点赤经	真近点角
1	7 078	0	120°	0	0	0
2	7 078	0	60°	0	60°	0
3	7 078	0	0	0	120°	0

Management of MEC Service and Optimization of Mission Migration in LEO Satellite Networks

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