Cognitive Wireless Network Resource Allocation Strategy Based on Effective Capacity

Chen, Binzhe; Qiu, Runhe; Xu, Woping

doi:10.1109/hpsr.2019.8808117

Cited by 3 publications

(3 citation statements)

References 9 publications

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“…ese newborn technology products, on the one hand, bring people entertainment and convenient life, such as personal mobile communication, intelligent car communication, smart home products, and telemedicine. is series of products make the present and future life gradually become intelligent; on the other hand, the constant data communication brings the continuous data communication with many pressures and challenges to the existing communication networks and communication resources, such as the shortage of wireless spectrum resources and its unreasonable management mechanism and the exponentially increasing data in the network [14].…”

Section: Cognitive Wireless Networkmentioning

confidence: 99%

Social Public Opinion Communication and Network Legal Management Based on Artificial Intelligence Cognitive Wireless Network

Bai

2022

Mobile Information Systems

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Public opinion supervision is an important part of the national security supervision system. In the Internet era, especially with the rapid development of mobile social media, the position of online public opinion supervision in public opinion supervision is becoming more and more prominent. Internet public opinion supervision has a wide range of subjects, diverse objects, multiple channels, instant and efficient communication speed, and two-way interaction and has its distinctive features, but at the same time there are phenomena such as online rumors, invasion of others' privacy, and venting private anger. The existence of these problems requires strengthening the legal system of public opinion supervision, enhancing the network literacy of Internet users, government management departments, website operators, and other subjects of online public opinion supervision, continuously improving the technical level of online public opinion monitoring, and public opinion guidance ability of network supervision departments, and strengthening the regulation of online public opinion supervision through the improvement and improvement of legal system and coordinated promotion of cyberspace governance. Meanwhile, mobile Internet is the soil for social opinion dissemination. With the development of technology, cognitive wireless network is becoming an important infrastructure in the mobile Internet. Therefore, this paper studies social opinion dissemination and cyber law management in cognitive wireless networks and proposes a cognitive engine model based on artificial intelligence algorithms for cognitive wireless networks for enhancing opinion dissemination and law management. The extended experiments demonstrate the advanced performance and effectiveness of the proposed method in this paper and provide a new technical approach for enhancing public opinion dissemination and legal management.

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Section: Cognitive Wireless Networkmentioning

confidence: 99%

Social Public Opinion Communication and Network Legal Management Based on Artificial Intelligence Cognitive Wireless Network

Bai

2022

Mobile Information Systems

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“…In [31], L. Musavian and Q. Ni use the ratio of EC and the total expenditure power, including the transmission power and the circuit power to measure link-layer energy efficiency. B. Chen et al [32] propose a resource allocation strategy based on effective capacity under the scenario of secondary user's parallel transmission. Since EB and EC mentioned above facilitate capturing the delay-bounded constraint of wireless link without going into complex queuing analysis, we use these dual concepts to characterize the delay-bounded constraints in our cross-layer virtual resource allocation scheme.…”

Section: Qos Exponentmentioning

confidence: 99%

“…From Fig.11, it can be seen that he initial access ratio of each slice is 0. According to formula (31) and (32), the traffic flow access ratio of slice can be stable after about 40 iterations.…”

Section: ) Algorithm Convergence Analysismentioning

confidence: 99%

Resource Virtualization and Allocation for TDD-F-OFDM Systems With MU-MIMO

Bao

Cheng

et al. 2020

IEEE Access

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Wireless resource virtualization scheme has been proposed to satisfy the quality of service (QoS) requirement of multi-service traffic flows on multi-dimensional resources. However, it is a challenge to design an appropriate virtual resource allocation strategy for multi-dimensional resource to meet the delay demand of multi-service. In this paper, we study the virtual resource allocation method in TDD-F-OFDM system with MU-MIMO and formulate the multi-service virtual resource optimization problem as a cross-layer problem. Then, we develop an effective dynamic algorithm with an iterative dual update to meet the optimization targets of the Media Access Control (MAC) layer and physical layer. Finally, the simulation results show that our proposed virtual resource allocation algorithm not only achieves better spectral efficiency and flow access ratio, but also guarantees the delay requirements of multi-service flows.

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QoS-Aware Joint Offloading and Power Control Using Deep Reinforcement Learning in MEC

Chen

2020

2020 23rd International Symposium on Wireless Personal Multimedia Communications (WPMC)

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Cognitive Wireless Network Resource Allocation Strategy Based on Effective Capacity

Cited by 3 publications

References 9 publications

Social Public Opinion Communication and Network Legal Management Based on Artificial Intelligence Cognitive Wireless Network

Social Public Opinion Communication and Network Legal Management Based on Artificial Intelligence Cognitive Wireless Network

Resource Virtualization and Allocation for TDD-F-OFDM Systems With MU-MIMO

QoS-Aware Joint Offloading and Power Control Using Deep Reinforcement Learning in MEC

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