Spectrum Resource Sharing in Heterogeneous Vehicular Networks: A Noncooperative Game-Theoretic Approach With Correlated Equilibrium

Xiao, Zhu; Shen, Xiangyu; Zeng, Fanzi; Havyarimana, Vincent; Chen, Weiwei; Li, Keqin

doi:10.1109/tvt.2018.2855683

Cited by 77 publications

(37 citation statements)

References 33 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In our system, we assume that the RSUs are deployed near the road at equal spacing, whose communication coverage areas are circles with the same radius [13]. We further consider that the roads are distributed in east‐west or north‐south directions [14, 15]. Meanwhile, each road is bidirectional, allowing vehicles to travel in two‐way, as shown in Fig.…”

Section: System Descriptions and Modelsmentioning

confidence: 99%

QoS‐enabled resource allocation algorithm in internet of vehicles with mobile edge computing

Wang

Zhao

2020

IET Communications

View full text Add to dashboard Cite

Section: System Descriptions and Modelsmentioning

confidence: 99%

QoS‐enabled resource allocation algorithm in internet of vehicles with mobile edge computing

Wang

Zhao

2020

IET Communications

View full text Add to dashboard Cite

“…The non-cooperative distributed model applied in [20] is similar to what is used in [18], and removes the need for a central operator. In [21], a gametheoretic solution is investigated for spectrum allocation in highly mobile vehicular networks. An incentive mechanism is designed to motivate the macro cell to share its unused bandwidth with Road Side Units (RSU).…”

Section: B Non-cooperative Gamesmentioning

confidence: 99%

“…An incentive mechanism is designed to motivate the macro cell to share its unused bandwidth with Road Side Units (RSU). While considering transmission power and interference of RSUs, the authors of [21] then formulate the resource allocation problem for moving vehicles as an n-person game and calculate the equilibrium.…”

Section: B Non-cooperative Gamesmentioning

confidence: 99%

Combining Cooperative With Non-Cooperative Game Theory to Model Wi-Fi Congestion in Apartment Blocks

et al. 2020

View full text Add to dashboard Cite

The unlicensed spectrum utilized by Wi-Fi can be regarded as an economic commons in many deployments. Operators of Wi-Fi-enabled devices are usually non-cooperative, vying for spectral resources when in close range to each other, typically adopting a strategy of maximizing their transmission power. With an ever-growing number of wireless devices, this will ultimately lead to depletion of the spectrum, unless players collaborate. Previous studies used cooperative game theory to explore various collaboration strategies, enabled by the presence of some central authority or controller that executes an agreed-upon interference mitigation policy. However, the regulatory nature of unlicensed spectrum dictates that players cannot be forced into such collaboration. Most deployments therefore involve a mix of cooperative and non-cooperative players. In this paper, we propose a new way of modeling use cases involving a central authority or controller by combining non-cooperative and cooperative game theory. Our model uses the non-cooperative concept of Nash equilibriums as well as the cooperative concept of Nash bargaining. To the best of our knowledge, this paper is the first to propose a hybrid non-cooperative and cooperative game theoretic model for communication networks that offers the players the opportunity to strategize between non-cooperative and cooperative natures. It is successfully applied to the case of a densely-populated apartment block. The results show that, if only a subset of players joins the collaboration, most of the remaining non-joining players may obtain an SINR that is worse than what they would have obtained in the fully non-cooperative scenario; they are punished for their uncooperative behavior.

show abstract

“…Zheng et al [Zheng, Zheng, Sun et al (2015)] proposed Markov queuing based performance analysis models in HVNs in terms of system throughput, transmission delay, dropping probability, and queue length, while connection ability is also an important performance in heterogeneous networks. In Xiao et al [Xiao, Shen, Zeng et al (2018)], a non-cooperative game-theoretic framework is proposed for radio resource management in a heterogeneous wireless access environment to maximize the utility of connections. To meet the increasing demand of vehicular communication, resource allocation has become an effective method to improve system performance.…”

Section: Introductionmentioning

confidence: 99%

A Capacity Improving Scheme in Multi-RSUs Deployed V2I

Chen¹,

Zeng²,

Chen³

et al. 2019

Computers, Materials &Amp; Continua

View full text Add to dashboard Cite

The communication reliability and system capacity are two of the key performance indicators for Internet of Vehicles (IoV). Existing studies have proposed a variety of technologies to improve reliability and other performance, such as channel selection and power allocation in Vehicle-to-Infrastructure (V2I). However, these researches are mostly applied in a single roadside unit (RSU) scenario without considering inter-cell interference (ICI) of multi-RSUs. In this paper, considering the distribution characteristics of multi-RSUs deployment and corresponding ICI, we propose a reliable uplink transmission scheme to maximize the total capacity and decrease the interference of multi-RSUs (mRSU-DI) in condition of the uplink interruption performance. In the proposed mRSU-DI scheme, ICI is depressed by dynamic channel and power allocation algorithm. A heuristic algorithm based on penalty function is proposed to obtain the optimal power allocation solution of the model. In addition, we realize the scheme in both given conditions of channel state information (CSI) and channel state distribution, respectively. The results show that the proposed scheme can both improve the system capacity and guarantee the reliable transmission in both premises.

show abstract

Spectrum Resource Sharing in Heterogeneous Vehicular Networks: A Noncooperative Game-Theoretic Approach With Correlated Equilibrium

Cited by 77 publications

References 33 publications

QoS‐enabled resource allocation algorithm in internet of vehicles with mobile edge computing

QoS‐enabled resource allocation algorithm in internet of vehicles with mobile edge computing

Combining Cooperative With Non-Cooperative Game Theory to Model Wi-Fi Congestion in Apartment Blocks

A Capacity Improving Scheme in Multi-RSUs Deployed V2I

Contact Info

Product

Resources

About