Sub-Channel Allocation for Device-to-Device Underlaying Full-Duplex mmWave Small Cells Using Coalition Formation Games

Wang, Yibing; Niu, Yong; Wu, Hao; Han, Zhu; Ai, Bo; Wang, Qi

doi:10.1109/tvt.2019.2946902

Cited by 15 publications

(3 citation statements)

References 37 publications

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“…Wang et al [74] address optimal sub-channel allocation in the small cells that underlie an mmWave network. They propose a cooperative sub-channel allocation algorithm whose utility is based on the system throughput.…”

Section: A Coalitional Games In Resource Managementmentioning

confidence: 99%

Coalition Games for Performance Evaluation in 5G and Beyond Networks: A Survey

et al. 2022

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The 5G network is an emerging field of the research community. 5G is a multi-disciplinary network that aims to support a wide range of services. 5G network has an objective to support a massive number of connected devices. Game theory has an extensive role in wireless network management. Game theory is an approach to analyzing and modeling the system where multiple actors have a role in decisionmaking with independent objectives and actions. The game theory is an exciting methodology to control the strategic behavior of players and generate an efficient outcome. Coalition game theory can play a crucial role in ensuring cooperation among a massive number of devices. This article provides insight into the current research trends in 5G using coalition games. The work presented in the survey is divided into three categories, namely resource management, interference management, and miscellaneous. This article also provides the foundation about 5G and coalition games highlight the scope of future research.

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Section: A Coalitional Games In Resource Managementmentioning

confidence: 99%

Coalition Games for Performance Evaluation in 5G and Beyond Networks: A Survey

et al. 2022

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“…At the same time, according to the actual number of antennas required and the formed SI thereby, a wireless communication system with both HD and FD communications was proposed. Wang et al [27] studied the optimal allocation of sub-channels under dense deployment of micro-cells in mm-wave networks, and proposed a sub-channel allocation method based on alliance game theory, which improved resource utilization and system throughput.…”

Section: Related Workmentioning

confidence: 99%

Resource Allocation for Millimeter-Wave Train-Ground Communications in High-Speed Railway Scenarios

Zhang

Niu

Mao

et al. 2021

Preprint

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With the development of wireless communication, higher requirements arise for train-ground wireless communications in high-speed railway (HSR) scenarios. The millimeter-wave (mm-wave) frequency band with rich spectrum resources can provide users in HSR scenarios with high performance broadband multimedia services, while the full-duplex (FD) technology has become mature. In this paper, we study train-ground communication system performance in HSR scenarios with mobile relays (MRs) mounted on rooftop of train and operating in the FD mode. We formulate a nonlinear programming problem to maximize network capacity by allocation of spectrum resources. Then, we develop a sequential quadratic programming (SQP) algorithm based on the Lagrange function to solve the bandwidth allocation optimization problem for track-side base station (BS) and MRs in this mm-wave train-ground communication system. Extensive simulation results demonstrate that the proposed SQP algorithm can effectively achieve high network capacity for trainground communication in HSR scenarios while being robust to the residual self-interference (SI).

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“…The design of efficient algorithms for large-scale, distributed, dynamic, and heterogeneous wireless systems, is considered as the primary use of game theory. For instance, coalitional game theory is used for joint optimization of the network throughput and content service satisfaction degree in cashing systems [13], channel allocation in device-to-device (D2D) communications [14], and user pairing in NOMA systems [15]. Recently, transport and matching theories, as powerful mathematical frameworks, have been used for many optimization problems (e.g., cell association, computation offloading decision, and interference management) [16], [17].…”

Section: A a Brief On Optimization Toolsmentioning

confidence: 99%

Swarm Intelligence for Next-Generation Wireless Networks: Recent Advances and Applications

Pham¹,

Nguyen²,

Mirjalili³

et al. 2020

Preprint

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Due to the proliferation of smart devices and emerging applications, many next-generation technologies have been paid for the development of wireless networks. Even though commercial 5G has just been widely deployed in some countries, there have been initial efforts from academia and industrial communities for 6G systems. In such a network, a very large number of devices and applications are emerged, along with heterogeneity of technologies, architectures, mobile data, etc., and optimizing such a network is of utmost importance. Besides convex optimization and game theory, swarm intelligence (SI) has recently appeared as a promising optimization tool for wireless networks. As a new subdivision of artificial intelligence, SI is inspired by the collective behaviors of societies of biological species. In SI, simple agents with limited capabilities would achieve intelligent strategies for high-dimensional and challenging problems, so it has recently found many applications in nextgeneration wireless networks (NGN). However, researchers may not be completely aware of the full potential of SI techniques. In this work, our primary focus will be the integration of these two domains: NGN and SI. Firstly, we provide an overview of SI techniques from fundamental concepts to well-known optimizers. Secondly, we review the applications of SI to settle emerging issues in NGN, including spectrum management and resource allocation, wireless caching and edge computing, network security, and several other miscellaneous issues. Finally, we highlight open challenges and issues in the literature, and introduce some interesting directions for future research.

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Sub-Channel Allocation for Device-to-Device Underlaying Full-Duplex mmWave Small Cells Using Coalition Formation Games

Cited by 15 publications

References 37 publications

Coalition Games for Performance Evaluation in 5G and Beyond Networks: A Survey

Coalition Games for Performance Evaluation in 5G and Beyond Networks: A Survey

Resource Allocation for Millimeter-Wave Train-Ground Communications in High-Speed Railway Scenarios

Swarm Intelligence for Next-Generation Wireless Networks: Recent Advances and Applications

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