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一种面向6G网络通感一体化网络切片生成算法

周恺 李婧

火力与指挥控制2026,Vol.51Issue(5):13-18,6.
火力与指挥控制2026,Vol.51Issue(5):13-18,6.DOI:10.3969/j.issn.1002-0640.2026.05.002

一种面向6G网络通感一体化网络切片生成算法

A Network Slice Generation Algorithm for Integrated Sensing and Communication in 6G Networks

周恺 1李婧1

作者信息

  • 1. 南京晓庄学院信息工程学院,南京 211171||南京市智能信息处理重点实验室,南京 211171
  • 折叠

摘要

Abstract

The integration of wireless sensing and wireless communication has emerged as a new technological development trend for 6G networks and stimulated new application demands.This paper in-vestigates how 6G networks coordinate network resources to generate integrated sensing and communica-tion(ISAC)network slices tailored to scenario-specific requirements.For 6G internet of things(IoT)ap-plication scenarios,whether network slices can provide sufficiently low-latency communication capability is critical.To solve the nonlinear integer programming problem caused by slice capability requirements in 6G IoT scenarios,a resource allocation scheme based on deep learning and the deep Q-network(DQN)algorithm is proposed.Simulation results show that when the proportion of user equipment(UE)using both communication and sensing services simultaneously is less than 50%,the proposed algorithm re-duces the end-to-end delay by up to approximately 130 ms compared with baseline algorithms.With 100 physical resource blocks(PRBs),the proposed algorithm reduces the end-to-end delay by about 50%relative to the baseline algorithm.System-level simulations verify the effectiveness of the proposed algo-rithm,which can provide a reference for resource allocation in the field of 6G network slicing.

关键词

6G/通感一体/联合通信和感知/网络切片/资源分配/业务质量/深度Q网络

Key words

6G/ISAC/joint communication and sensing/network slicing/resource allocation/QoS/DQN

分类

信息技术与安全科学

引用本文复制引用

周恺,李婧..一种面向6G网络通感一体化网络切片生成算法[J].火力与指挥控制,2026,51(5):13-18,6.

基金项目

国家自然科学基金(62205150) (62205150)

南京晓庄学院教学改革资助项目 ()

火力与指挥控制

1002-0640

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