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دسته بندی:
محاسبات کوانتومی - Quantum-Computing
سال انتشار:
2022
عنوان انگلیسی مقاله:
Quantum Computing Based Optimization for Intelligent Reflecting Surface (IRS)-Aided Cell-Free Network
ترجمه فارسی عنوان مقاله:
بهینهسازی مبتنی بر محاسبات کوانتومی برای شبکههای بدون سلول با کمک سطح بازتابی هوشمند (IRS)
منبع:
ieee - ieee Transactions on Emerging Topics in Computing; ;PP;99;10:1109/TETC:2022:3161542
نویسنده:
Takahiro Ohyama; Yuichi Kawamoto; Nei Kato
چکیده انگلیسی:
Intelligent reflecting surface (IRS) enables the control of propagation characteristics and is attracting considerable attention
as a technology to improve energy utilization efficiency in 6th generation mobile communication systems. As cell-free networks with
multiple distributed base stations (BSs) can communicate in a coordinated manner, they are being actively researched as a new
network architecture to resolve the problem of inter-cell interference in conventional cellular networks. The introduction of the IRS into
the cell-free network can avoid shadowing at a lower cost with less power consumption. Thus, in this study, we considered the case of
communication with user equipment (UE) in a shadowing environment using IRS in a cell-free network that contained distributed BSs
with a single antenna. Moreover, the selection of multiple access methods was derived according to the numbers of BSs, IRSs, and
UEs. In addition, we proposed a quadratic unconstrained binary optimization formulation to optimize the IRS reflection coefficient using
quantum computing. The simulation results verified that the application of the proposed method resulted in a more efficient
communication. Thus, this study clarifies that the optimum control method in every communication environment and aims to act as a
stepping stone to optimize the entire cell-free system.
Index Terms: Intelligent Reflecting Surface | Cell-Free Network | Quantum Computing | Quantum Annealing | Combinatorial Optimization.
قیمت: رایگان
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