Research on NB-IoT Delay and Power Consumption in LEO Satellite IoT

WANG Fan; YU Xiao; HONG Tao

doi:10.13756/j.gtxyj.2024.230042

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Research on NB-IoT Delay and Power Consumption in LEO Satellite IoT

更新时间：2024-05-30

- Research on NB-IoT Delay and Power Consumption in LEO Satellite IoT
- Study on Optical Communications Issue 3, Pages: 23004201-23004207(2024)
- 作者机构：
  
  南京邮电大学　通信与信息工程学院，南京　210003
- 作者简介：
- 基金信息：
- DOI：10.13756/j.gtxyj.2024.230042
  CLC： TN927
- Published：10 June 2024，
  
  Received：17 March 2023，
  
  Revised：24 March 2023，
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王凡，于啸，洪涛.低轨卫星物联网下NB-IoT时延功耗研究[J].光通信研究，2024（3）：230042.

Wang F, Yu X, Hong T. Research on NB-IoT Delay and Power Consumption in LEO Satellite IoT[J]. Study on Optical Com-munications, 2024（3）：230042.
王凡，于啸，洪涛.低轨卫星物联网下NB-IoT时延功耗研究[J].光通信研究，2024（3）：230042. DOI： 10.13756/j.gtxyj.2024.230042.

Wang F, Yu X, Hong T. Research on NB-IoT Delay and Power Consumption in LEO Satellite IoT[J]. Study on Optical Com-munications, 2024（3）：230042. DOI： 10.13756/j.gtxyj.2024.230042.

摘要

【目的】

在低轨（LEO）卫星物联网（IoT）场景下，广域覆盖范围内窄带物联网（NB-IoT）体制终端因为业务场景不同造成时延功耗需求也不相同。然而，地面NB-IoT体制终端业务场景单一，采用固定式工作状态定时器参数配置方法，无法满足LEO卫星IoT大尺度地理范围内多场景终端时延功耗的不同需求。

【方法】

针对LEO卫星IoT广覆盖特性，文章基于简化后随机接入交互流程终端工作状态切换的马尔科夫链模型，提出了以系统下行延迟和终端功耗作为非支配排序遗传算法（NS-GA-Ⅱ）的目标函数得到多场景帕累托前沿最优解集的方法，进一步从帕累托前沿中选择满足不同场景时延功耗需求的工作状态定时器参数在线配置终端。

【结果】

仿真结果表明，文章提出的多目标优化方法对工作状态定时器参数进行全局寻优，克服了穷举法等传统方法可能陷入局部最优的不足，并验证了简化随机接入交互流程可以有效降低终端时延功耗。

【结论】

文章所提多目标优化方法可以得到终端在LEO卫星IoT多场景下的工作状态定时器参数。

Abstract

【Objective】

In the Low Earth Orbit (LEO) satellite Internet of Things (IoT) scenario

the time delay and power consumption requirements of Narrowband (NB) -IoT terminal in wide coverage area vary due to different business scenarios. However

the ground NB-IoT terminal with a single business scenario adopts a fixed working state timer parameter configuration method

which cannot meet the needs of time delay and power consumption for multi-scenario terminals in large geographical areas of LEO satellite IoT.

【Methods】

In response to the wide coverage characteristics of LEO satellite IoT

the problem of different delay and power consumption requirements for terminal multi-scenario application services in LEO satellite IoT scenarios

this article proposes a method based on a simplified interaction process and Markov chain model for terminal work state switching. The method uses system downlink delay and terminal power consumption as Non-dominated Sorting Genetic Algorithms-Ⅱobjective functions to obtain a set of Pareto optimal solutions for multiple scenario frontiers. Furthermore

it selects working state timer parameters from the Pareto frontier to configure terminals online that meet different scenario delay and power consumption requirements.

【Results】

The simulation results show that the multi-objective optimization method proposed in this paper can globally optimize the timing parameters of the working state timer

and overcome the shortcomings of traditional methods such as exhaustive search falling into local optima. Additionally

it has been verified that simplifying the random access interaction process can effectively reduce terminal delay and power consumption.

【Conclusion】

The multi-objective optimization method proposed in this paper can obtain the working state timer parameters of the terminal in various scenarios of LEO satellite IoT.

关键词

低轨卫星物联网窄带物联网时延功耗多目标优化工作状态定时器参数

Keywords

LEO satellite IoTNB-IoTdelay and power consumptionmulti-objective optimizationworking state timer parameter

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