Intelligent Reflecting Surface (IRS) Allocation Scheduling Method Using Combinatorial Optimization by Quantum Computing

Intelligent Reflecting Surface (IRS) significantly improves the energy utilization efficiency in 6th generation cellular communication systems. Here, we consider a system with multiple IRS and users, with one user communicating via several IRSs. In such a system, the user to which an IRS is assigned...

Full description

Saved in:
Bibliographic Details
Published in:IEEE transactions on emerging topics in computing 2022-07, Vol.10 (3), p.1633-1644
Main Authors: Ohyama, Takahiro, Kawamoto, Yuichi, Kato, Nei
Format: Article
Language:English
Subjects:
Cellular communication
Combinatorial analysis
combinatorial optimization
Communication
Communications systems
Computer simulation
Energy utilization
Intelligent reflecting surface
IRS allocation scheduling
OFDM
Optimization
Power consumption
Processor scheduling
quantum annealing
Quantum computing
Reconfigurable intelligent surfaces
Resource management
Scheduling
Wireless communication
Citations: Items that this one cites
Items that cite this one
Online Access:Request full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:Intelligent Reflecting Surface (IRS) significantly improves the energy utilization efficiency in 6th generation cellular communication systems. Here, we consider a system with multiple IRS and users, with one user communicating via several IRSs. In such a system, the user to which an IRS is assigned for each unit time must be determined to realize efficient communication. The previous studies on the optimization of various parameters for IRS based wireless systems did not consider the optimization of such IRS allocation scheduling. Therefore, we propose an IRS allocation scheduling method that limits the number of users who allocate each IRS to one unit time and sets the reflection coefficients of the IRS specifically to the assigned user resulting in the maximum IRS array gain. Additionally, as the proposed method is a combinatorial optimization problem, we develop a quadratic unconstrained binary optimization formulation to solve this using quantum computing. This will lead to the optimization of the entire system at a high speed and low power consumption in the future. Using computer simulation, we clarified that the proposed method realizes a more efficient communication compared to the method where one IRS is simultaneously used by multiple users.
ISSN:2168-6750
2168-6750
DOI:10.1109/TETC.2021.3115107