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دسته بندی:
محاسبات کوانتومی - Quantum-Computing
سال انتشار:
2022
عنوان انگلیسی مقاله:
Intelligent Reflecting Surface (IRS) Allocation Scheduling Method Using Combinatorial Optimization by Quantum Computing
ترجمه فارسی عنوان مقاله:
روش زمانبندی تخصیص سطح بازتابنده هوشمند (IRS) با استفاده از بهینهسازی ترکیبی توسط محاسبات کوانتومی
منبع:
ieee - ieee Transactions on Emerging Topics in Computing;2022;10;3;10:1109/TETC:2021:3115107
نویسنده:
TAKAHIRO OHYAMA , (Member, IEEE), YUICHI KAWAMOTO , (Member, IEEE), AND NEI KATO , (Fellow, IEEE)
چکیده انگلیسی:
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.
INDEX TERMS: Intelligent reflecting surface | IRS allocation scheduling | quantum computing | quantum annealing | combinatorial optimization
قیمت: رایگان
توضیحات اضافی:
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