An Optimal Joint User Association and Power Allocation Algorithm for Secrecy Information Transmission in Heterogeneous Networks

Chai, Rong; Chen, Mingxue; Chen, Qianbin; Gao, Yuanpeng

doi:10.1155/2017/5120538

Cited by 7 publications

(4 citation statements)

References 24 publications

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“…In addition, the implementation of the overall RA algorithm often includes several sub-problems (channel and power allocation, user grouping, handover, multiple access, etc.) that are solved independently [ 37 , 40 , 49 ]. Then, the challenge is to define and solve each of them in the most computationally efficient manner using traditional optimization methods or deep learning, with respect to the essential parameters (such as the number of channels and communication nodes).…”

Section: Graph-based Ra In Cellular Homogeneous and Het-netsmentioning

confidence: 99%

Graph-Based Resource Allocation for Integrated Space and Terrestrial Communications

Ivanov

Tonchev

Poulkov

et al. 2022

Sensors

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Resource allocation (RA) has always had a prominent place in wireless communications research due to its significance for network throughput maximization, and its inherent complexity. Concurrently, graph-based solutions for RA have also grown in importance, providing opportunities for higher throughput and efficiency due to their representational capabilities, as well as challenges for realizing scalable algorithms. This article presents a comprehensive review and analysis of graph-based RA methods in three major wireless network types: cellular homogeneous and heterogeneous, device-to-device, and cognitive radio networks. The main design characteristics, as well as directions for future research, are provided for each of these categories. On the basis of this review, the concept of Graph-based Resource allocation for Integrated Space and Terrestrial communications (GRIST) is proposed. It describes the inter-connectivity and coexistence of various terrestrial and non-terrestrial networks via a hypergraph and its attributes. In addition, the implementation challenges of GRIST are explained in detail. Finally, to complement GRIST, a scheme for determining the appropriate balance between different design considerations is introduced. It is described via a simplified complete graph-based design process for resource management algorithms.

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Section: Graph-based Ra In Cellular Homogeneous and Het-netsmentioning

confidence: 99%

Graph-Based Resource Allocation for Integrated Space and Terrestrial Communications

Ivanov

Tonchev

Poulkov

et al. 2022

Sensors

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“…Node's position in network determines its quantity and quality of resource (Koene, 1984). The center position in the innovation network means the control of competitive advantage (Foerster, 2016;Chai et al, 2017). Hence, many scholars have identified the position of node in the network according to some indicators and classified nodes into different groups.…”

Section: Measurement For Network Positionmentioning

confidence: 99%

The Spatio-Temporal Evolution of China’s Hydrogen Fuel Cell Vehicle Innovation Network: Evidence From Patent Citation at Provincial Level

Jiang

Cai

et al. 2021

Front. Environ. Sci.

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Hydrogen fuel cell vehicle industry is in a rapid development stage. Studying the domestic spatial distribution of hydrogen fuel cell vehicle industry across a country, especially the spatio-temporal evolution of the innovation level and position of each region in innovation network, will help to understand the industry’s development trends and characteristics, and avoid repeated construction. This article uses social network analysis and patent citation information of 2,971 hydrogen fuel cell vehicle related invention patents, owned by 218 micro-innovators across 25 provinces of China from 2001 to 2020, to construct China’s hydrogen fuel cell vehicle innovation network. Based on the dimensions of knowledge production, knowledge consumption, and network broker, the network positions of sample provinces in three periods divided by four main national policies are classified. The main findings are as follows. 1) In China, the total sales of hydrogen fuel cell vehicle and the development of supporting infrastructure are balanced, and a series of national and local industrial development polices have been issued. 2) China’s hydrogen fuel cell vehicle innovation network density, the proportion of universities and research institutes among the innovators, and the active degree of the eastern provinces are all becoming higher. 3) The provinces in optimal network position are all from the eastern region. Shanghai and Liaoning are gradually replaced by Beijing and Jiangsu. 4) Sichuan in the western region is the only network broker based on knowledge consumption. 5) Although Zhejiang, Tianjin, Hebei, Guangdong, and Hubei are not yet in the optimal position, they are outstanding knowledge producers. Specifically, Guangdong is likely to climb to the optimal network position in the next period. The conclusions will help China’s provinces to formulate relevant development policies to optimize industry layout and enhance collaborative innovation in the hydrogen fuel cell vehicle industry.

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“…Chai, et al [84] proposed a joint user association and power allocation scheme in a secured DL HetNet. The problem was formulated as a multiobjective optimization by aiming to maximize the EE of BSs under the constraints of the BS power and minimum UE data rate.…”

Section: ) Joint User Associationmentioning

confidence: 99%

Survey of Radio Resource Management in 5G Heterogeneous Networks

et al. 2020

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Radio resource management (RRM) for future fifth-generation (5G) heterogeneous networks (HetNets) has emerged as a critical area due to the increased density of small-cell networks and radio access technologies. Recent research has mostly concentrated on resource management, including spectrum utilization and interference mitigation, but the complexities of these resources have been given little attention. This paper provides an overview of the issues arising from future 5G systems and highlights their importance. The different approaches used in recently published surveys categorizing RRM schemes are discussed, and the survey method is presented. We report on a survey of HetNet RRM schemes that have been studied recently, with a focus on the joint optimization of radio resource allocation with other mechanisms. These RRM schemes were subcategorized according to their optimization metrics and qualitatively analyzed and compared. An analysis of the complexity of RRM schemes in terms of implementation and computation is presented. Several potential scopes of research for future RRM in 5G HetNets are also identified.

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An Optimal Joint User Association and Power Allocation Algorithm for Secrecy Information Transmission in Heterogeneous Networks

Cited by 7 publications

References 24 publications

Graph-Based Resource Allocation for Integrated Space and Terrestrial Communications

Graph-Based Resource Allocation for Integrated Space and Terrestrial Communications

The Spatio-Temporal Evolution of China’s Hydrogen Fuel Cell Vehicle Innovation Network: Evidence From Patent Citation at Provincial Level

Survey of Radio Resource Management in 5G Heterogeneous Networks

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