面向异构网络的可重构智能表面辅助资源优化方法

doi:10.11959/j.issn.1000-436x.2022217

通信学报 ›› 2022, Vol. 43 ›› Issue (11): 171-182.doi: 10.11959/j.issn.1000-436x.2022217

面向异构网络的可重构智能表面辅助资源优化方法

神显豪¹^,²^,³, 曾紫玲¹^,², 牛少华³

¹ 桂林理工大学信息科学与工程学院，广西桂林 541006
² 桂林理工大学广西嵌入式技术与智能系统实验室，广西桂林 541006
³ 北京理工大学机电学院，北京 100081

修回日期:2022-08-20 出版日期:2022-11-25 发布日期:2022-11-01
作者简介:神显豪（1980− ），男，广西南宁人，博士，桂林理工大学教授、硕士生导师，主要研究方向为物联网、智能信息处理系统
曾紫玲（1998− ），女，湖南衡阳人，桂林理工大学硕士生，主要研究方向为无线传感器网络、网络切片
牛少华（1975− ），男，河南安阳人，博士，北京理工大学讲师，主要研究方向为为机电控制及MEMS技术
基金资助:
国家自然科学基金资助项目(62262011);国家自然科学基金资助项目(61961010);广西自然科学基金资助项目(2020GXNSFAA297255)

Reconfigurable intelligent surface assisted resource optimization method for heterogeneous network

Xianhao SHEN¹^,²^,³, Ziling ZENG¹^,², Shaohua NIU³

¹ College of Information Science and Engineering, Guilin University of Technology, Guilin 541006, China
² Guangxi Laboratory of Embedded Technology and Intelligent System, Guilin University of Technology, Guilin 541006, China
³ School of Mechanical and Electrical Engineering, Beijing Institute of Technology, Beijing 100081, China

Revised:2022-08-20 Online:2022-11-25 Published:2022-11-01
Supported by:
The National Natural Science Foundation of China(62262011);The National Natural Science Foundation of China(61961010);Guangxi Natural Science Foundation(2020GXNSFAA297255)

摘要/Abstract

摘要：

针对可重构智能表面（RIS）辅助的异构网络切片，提出了联合资源分配和相移优化的资源优化方法。对于异构网络中的不同业务，构建了不同目标的联合优化问题。针对增强型移动宽带（eMBB）业务，基于交替优化算法，联合优化资源块分配、功率分配和RIS相移矩阵，使eMBB用户的遍历总容量最大化。针对超可靠低时延通信（URLLC）业务，以最大化 URLLC 数据包接收率和最小化 eMBB 速率损失为目标，提出基于预配置RIS的启发式URLLC分配算法。仿真结果表明，与未部署RIS时95.95%的URLLC数据包接收率相比，所提算法仅使用80个RIS，实现了约99.99%的URLLC数据包接收率，同时提高了约86.24%的eMBB速率总和。

关键词: 异构网络, URLLC, eMBB, 资源优化, 可重构智能表面

Abstract:

For reconfigurable intelligent surface (RIS)-assisted heterogeneous network slicing, a resource optimization method with joint resource allocation and phase shift optimization was proposed.A joint optimization problem with different objectives was constructed for different services in heterogeneous networks.For enhanced mobile broadband (eMBB) services, the resource block allocation, power allocation and RIS phase shift matrix were jointly optimized based on the alternating optimization algorithm to maximize the total traversal capacity of eMBB users.For ultra-reliable low-latency communication (URLLC) services, a pre-configured RIS-based heuristic URLLC allocation algorithm was proposed with the objectives of maximizing the URLLC packet reception rate and minimizing the amount of eMBB rate loss.Simulation results demonstrate that the proposed algorithm achieves about 99.99% URLLC packet reception rate using only 80 RISs compared to 95.95% URLLC packet reception rate when no RISs are deployed, while the total eMBB rate is increased by 86.24%.

Key words: heterogeneous network, URLLC, eMBB, resource optimization, reconfigurable intelligent surface

中图分类号:

TP302

神显豪, 曾紫玲, 牛少华. 面向异构网络的可重构智能表面辅助资源优化方法[J]. 通信学报, 2022, 43(11): 171-182.

Xianhao SHEN, Ziling ZENG, Shaohua NIU. Reconfigurable intelligent surface assisted resource optimization method for heterogeneous network[J]. Journal on Communications, 2022, 43(11): 171-182.

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参数	值
蜂窝小区半径/ m	300
总带宽/ MHz	20
RB的带宽/ kHz	180
基站发射功率/ dBm	46
URLLC用户最大发射功率/ dBm	23
eMBB用户最大发射功率/ dBm	23
每个RB的子载波/个	12
URLLC传输时间间隔/ ms	0.144 3
eMBB传输时间间隔/ ms	1
噪声功率/ dBm	-97.5
URLLC数据包大小/bit	256
eMBB速率阈值/ (Mbit·s^-1)	1

面向异构网络的可重构智能表面辅助资源优化方法

Reconfigurable intelligent surface assisted resource optimization method for heterogeneous network

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