Auction Design and Analysis for SDN-Based Traffic Offloading in Hybrid Satellite-Terrestrial Networks

Du, Jun; Jiang, Chunxiao; Zhang, Haijun; Ren, Yong; Guizani, Mohsen

doi:10.1109/jsac.2018.2869717

Cited by 133 publications

(56 citation statements)

References 34 publications

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“…For the AGs in the rural area where the wired infrastructure can be costly, the satellite network can be applied [106]. [106], [110] Real-time Low-latency, high-security Locational marginal price, peak power shifting Cellular, satellite [37], [166] AG-EV (Central)…”

Section: Information Management For Ev Charging Schedulingmentioning

confidence: 99%

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Energy and Information Management of Electric Vehicular Network: A Survey

Chen

Wang

Zhang

et al. 2020

IEEE Commun. Surv. Tutorials

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The connected vehicle paradigm empowers vehicles with the capability to communicate with neighboring vehicles and infrastructure, shifting the role of vehicles from a transportation tool to an intelligent service platform. Meanwhile, the transportation electrification pushes forward the electric vehicle (EV) commercialization to reduce the greenhouse gas emission by petroleum combustion. The unstoppable trends of connected vehicle and EVs transform the traditional vehicular system to an electric vehicular network (EVN), a clean, mobile, and safe system. However, due to the mobility and heterogeneity of the EVN, improper management of the network could result in charging overload and data congestion. Thus, energy and information management of the EVN should be carefully studied. In this paper, we provide a comprehensive survey on the deployment and management of EVN considering all three aspects of energy flow, data communication, and computation. We first introduce the management framework of EVN. Then, research works on the EV aggregator (AG) deployment are reviewed to provide energy and information infrastructure for the EVN. Based on the deployed AGs, we present the research work review on EV scheduling that includes both charging and vehicle-to-grid (V2G) scheduling. Moreover, related works on information communication and computing are surveyed under each scenario. Finally, we discuss open research issues in the EVN.

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Section: Information Management For Ev Charging Schedulingmentioning

confidence: 99%

“…Cellular networks are great candidates for this type of communication [166]. For areas with poor cellular coverage, the satellite network is also a potential option [37]. • Communication for Central Control: When AGs receive the information from the SG, they perform the charging scheduling scheme in central control mode.…”

Section: Mobile Evsmentioning

confidence: 99%

Energy and Information Management of Electric Vehicular Network: A Survey

Chen

Wang

Zhang

et al. 2020

IEEE Commun. Surv. Tutorials

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“…First, most works (e.g. [33]- [36]) modeled the virtualized resources as indivisible goods and used oneshot VCG-type mechanisms to achieve the network utility maximization. Reference [37] is an exception that considered the divisible virtualized resources but assumed that agents are price-takers instead of strategic agents.…”

Section: A Mechanism Design For Network Function Virtualizationmentioning

confidence: 99%

Efficient Network Sharing With Asymmetric Constraint Information

Zhang

Huang

2019

IEEE J. Select. Areas Commun.

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Network sharing has become a key feature of various enablers of the next generation network, such as network function virtualization and fog computing architectures. Network utility maximization (NUM) is a general framework for achieving fair, efficient, and cost-effective sharing of constrained network resources. When agents have asymmetric and private information, however, a fundamental economic challenge is how to solve the NUM Problem considering the self-interests of strategic agents. Many previous related works have proposed economic mechanisms that can cope with agents' private utilities. However, the network sharing paradigm introduces the issue of information asymmetries regarding constraints. The related literature largely neglected such an issue; limited closely related studies provided solutions only applicable to specific application scenarios. To tackle these issues, we propose the Decomposable NUM (DeNUM) Mechanism and the Dynamic DeNUM (DyDe-NUM) Mechanism, the first mechanisms in the literature for solving NUM Problems considering private utility and constraint information. The key idea of both mechanisms is to decentralize the decision process to agents, who will make resource allocation decisions without the need of revealing private information to others. Under a monitorable influence assumption, the DeNUM Mechanism yields the network-utility maximizing solution at an equilibrium, and achieves other desirable economic properties (such as individual rationality and budget balance). We further establish the connection between the equilibrium structure and the primal-dual solution to a related optimization problem, based on which we prove the convergence of the DeNUM Algorithm to an equilibrium. When the agents' influences are not monitorable, we propose the DyDeNUM Mechanism that yields the networkutility maximizing solution at the cost of the balanced budget. Finally, as a case study, we apply the proposed mechanisms to solving the NUM problem for a fog-based user-provided network, and show that both mechanisms improve the network utility by 34% compared to a non-cooperation benchmark.Index Terms-Mechanism design, network sharing, network utility maximization, asymmetric constraint information.

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“…In this paper, we only focus on power-domain NOMA, so NOMA is referred as power-domain NOMA. Furthermore, the combination of LEO constellation and terrestrial network is the direction in 5G and the future wireless communication networks [3]- [6]. In [3], the authors establish a software-defined network (SDN) framework in the hybrid satellite-terrestrial networks for spectrum sharing, and propose second-priced auction to get optimal system performance.…”

Section: Introductionmentioning

confidence: 99%

“…Furthermore, the combination of LEO constellation and terrestrial network is the direction in 5G and the future wireless communication networks [3]- [6]. In [3], the authors establish a software-defined network (SDN) framework in the hybrid satellite-terrestrial networks for spectrum sharing, and propose second-priced auction to get optimal system performance. The authors of [4] present an architectural framework based on a layered approach comprising network, data link, and physical layers together with a multimode user terminal.…”

Section: Introductionmentioning

confidence: 99%

The Performance Analysis of Downlink NOMA in LEO Satellite Communication System

2020

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Non-orthogonal multiple access (NOMA) has the potential to provide higher throughput than conventional orthogonal multiple access (OMA), which has been considered as a key technology for 5G. NOMA in satellite communication system can provide anytime, anywhere access with improved spectral efficiency and system capacity because of its ubiquitous coverage. However, the characteristics of the satellite channels are different from that of the terrestrial network, i.e., huge time delay and Doppler shift. In this paper, different from the existing works, which mainly focus on the performance of NOMA in static terrestrial base stations and Geostationary orbit (GEO) scenarios, we investigate the performance analysis of downlink NOMA in dynamic low earth orbit (LEO) satellite communication system with Doppler shift considered. We combine NOMA and orthogonal frequency division multiplexing (OFDM) for better spectral efficiency. Our channel model includes both small scale model and large scale model. For simplify, we only consider two users in one spot beam. Besides, we express the performance analysis of downlink NOMA in LEO satellite communication system, like ergodic capacity, outage probability (OP) and mutual information. However, in traditional NOMA scheme, the proceeding error decision of the high power user will cause the deterioration of the subsequent detection performance. Therefore, a symmetrical coding (SC) scheme for different modulation mode is proposed for low power users to get better performance. Finally, simulation results validate the performance of the NOMA scheme is better than that of the OMA scheme. The proposed SC scheme can achieve a prominent increase performance contrasted to the traditional NOMA scheme. INDEX TERMS LEO satellite communication system, NOMA, ergodic capacity, outage probability, mutual information, symmetrical coding scheme. AIJUN LIU (Member, IEEE) received the B.S. degree in microwave communications and the M.S. and Ph.D. degrees in communications engineering and information systems from the College of Communications Engineering, Army Engineer

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Auction Design and Analysis for SDN-Based Traffic Offloading in Hybrid Satellite-Terrestrial Networks

Cited by 133 publications

References 34 publications

Energy and Information Management of Electric Vehicular Network: A Survey

Energy and Information Management of Electric Vehicular Network: A Survey

Efficient Network Sharing With Asymmetric Constraint Information

The Performance Analysis of Downlink NOMA in LEO Satellite Communication System

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