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

Abstract

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

CLC Number:

TP302

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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References 23

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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

Reconfigurable intelligent surface assisted resource optimization method for heterogeneous network

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