Quantum Scheduling for Millimeter-Wave Observation Satellite Constellation

Kim, Joongheon; Kwak, Yunseok; Jung, Soyi; Kim, Jae Hyun

doi:10.1109/apwcs50173.2021.9548770

Cited by 16 publications

(5 citation statements)

References 22 publications

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“…The QAOA harnesses the synergistic capability of quantum and classical computing, integrating a quantum circuit composed of a set of unitary operators to estimate the desired quantum states, alongside a classical optimization algorithm tasked with finding the optimal parameters for the quantum circuit. This combined approach allows QAOA to efficiently solve optimization tasks, positioning it as a promising methodology to tackle a variety of combinatorial problems encountered in the field of wireless communications [68], [69].…”

Section: ) Oracle-based Optimization Methodsmentioning

confidence: 99%

“…Using the QAOA, which aims to minimize the energy cost of the given Hamiltonian function, an optimized codeword can be obtained. In [69], QAOA is employed to solve a scheduling task in a satellite-assisted wireless system, aiming to minimize the occurrence of overlapping coverage areas. To achieve this objective, the scheduling task is reformulated as a combinatorial problem known as the max-weight independent set (MWIS) problem, which can be efficiently solved using the QAOA.…”

Section: ) Oracle-based Optimization Methodsmentioning

confidence: 99%

See 1 more Smart Citation

Quantum Machine Learning for Next-G Wireless Communications: Fundamentals and the Path Ahead

Narottama,

Mohamed,

Aïssa

2023

IEEE Open J. Commun. Soc.

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A comprehensive coverage of the state-of-the-art in quantum machine learning (QML) methodologies, with a unique perspective on their applications for wireless communications, is presented. The paper begins by delving into the fundamental principles of quantum computing, and then goes through different operations and techniques that are involved in QML deployments. Subsequently, it provides an in-depth look at various methods peculiar to quantum computing, such as quantum search algorithms, and discusses their potentials towards maximizing the performance of wireless systems. The integration of quantum-based learning models into the existing machine learning methodologies, such as within the frameworks of unsupervised learning and reinforcement learning, are then examined. Taking the viewpoint of wireless communications, diverse studies in the literature that employ QML-based optimization methods are also highlighted. Finally, to ensure the applicability and feasibility of QML for optimizing wireless systems, potential solutions for deployment challenges are addressed.INDEX TERMS Next-generation wireless communications; Quantum machine learning; Optimization of wireless systems.

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Section: ) Oracle-based Optimization Methodsmentioning

confidence: 99%

Section: ) Oracle-based Optimization Methodsmentioning

confidence: 99%

Quantum Machine Learning for Next-G Wireless Communications: Fundamentals and the Path Ahead

Narottama,

Mohamed,

Aïssa

2023

IEEE Open J. Commun. Soc.

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“…Therefore, quantum algorithms can potentially be used for low-latency 6G applications. Quantum approximate optimisation algorithms (QAOA) are hybrid classical-quantum algorithms that can be used for efficiently solving NP-hard combinatorial optimisation problems arising in 6G wireless networks including traffic scheduling, routing, and cluster selection [174][175][176][177][178]. Recent studies have investigated QAOA algorithms for optimal channel decoding [179] and optical multidimensional quadrature amplitude modulation [180] whose performance approaches the optimal ML scheme.…”

Section: Quantum Algorithms For 6gmentioning

confidence: 99%

The quantum internet: A synergy of quantum information technologies and 6G networks

Rozenman,

Kundu,

Liu

et al. 2023

IET Quantum Communication

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The quantum internet is a cutting‐edge paradigm that uses the unique characteristics of quantum technology to radically alter communication networks. This new network type is expected to collaborate with 6G networks, creating a synergy that will fundamentally alter how we communicate, engage, and trade information. The improved security, increased speed, and increased network capacity of the quantum internet will lead to the emergence of a broad variety of new applications and services. The current state of quantum technology and its integration with 6G networks are summarised in this study, with an emphasis on the key challenges and untapped possibilities. The main goal is to get knowledge about how the quantum internet might impact communication in the future and alter several economic and societal sectors.

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“…Investigations of observation duration scheduling problems for Earth observation satellite are being used to execute highly efficient Earth observation tasks. Inspired by the similar satellite-to-ground orbit operations [46,47], the authors of [48] elegantly extended the idea of scheduling downlinks to the scenario of satellite-to-ground QKD. To design a sequence of assignment that the satellite executes, ultimately achieving the optimal schedule, it is typically evaluated in terms of secure keys available.…”

Section: Introductionmentioning

confidence: 99%

Exploiting potentialities for space-based quantum communication network: downlink quantum key distribution modelling and scheduling analysis

Wang

Chen

et al. 2023

New J. Phys.

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The goal of the space-based quantum network is to form the backbone of the quantum internet for long-distance secure data transfer, networked distributed quantum information processing, and other applications. Consider that the quantum network evolved from a recent form where a satellite performs a sequence of satellite-to-ground quantum key distribution (SatQKD) missions that allow any two ground nodes to have the symmetric encryption keys, we here develop a framework for the SatQKD downlink modelling and scheduling analysis. Incorporated with the orbital caculation and the meteorological data to downlink SatQKD modelling, the dynamic characteristics of the satellite-to-ground optical transmission could be simulated. Our work shows that the satellite downlink scheduling allows for the possibility to consider strategies for different SatQKD missions such as extending connection for distant ground nodes, prioritized delivery and promoting keys utilization, which may guide design and analysis of future missions for future satellite application.

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Quantum Scheduling for Millimeter-Wave Observation Satellite Constellation

Cited by 16 publications

References 22 publications

Quantum Machine Learning for Next-G Wireless Communications: Fundamentals and the Path Ahead

Quantum Machine Learning for Next-G Wireless Communications: Fundamentals and the Path Ahead

The quantum internet: A synergy of quantum information technologies and 6G networks

Exploiting potentialities for space-based quantum communication network: downlink quantum key distribution modelling and scheduling analysis

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