Connectivity Analysis for Cooperative Vehicular Ad Hoc Networks Under Nakagami Fading Channel

Chen, Ruifeng; Sheng, Zhengguo; Zhang, Zhong; Ni, Minming; Leung, Victor C. M.; Michelson, David G.; Hu, Miao

doi:10.1109/lcomm.2014.2349978

Cited by 20 publications

(14 citation statements)

References 14 publications

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“…Initially, a node behavior is modeled, then the effect of a hidden node on channel busy time ratio and collision probability is investigated. An analysis of the joint effect of three key elements of CVN: cooperation, interference, and channel fading has been carried out in [88]. To conduct the analysis, a Nakagami fading channel model is considered with independent and identically distributed (i.i.d) and independent non-identically distributed (non-i.i.d.)…”

Section: Recent Advances In Cvnmentioning

confidence: 99%

Cooperative Vehicular Networking: A Survey

Ahmed

Gharavi

2018

IEEE Trans. Intell. Transport. Syst.

229

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With the remarkable progress of cooperative communication technology in recent years, its transformation to vehicular networking is gaining momentum. Such a transformation has brought a new research challenge in facing the realization of cooperative vehicular networking (CVN). This paper presents a comprehensive survey of recent advances in the field of CVN. We cover important aspects of CVN research, including physical, medium access control, and routing protocols, as well as link scheduling and security. We also classify these research efforts in a taxonomy of cooperative vehicular networks. A set of key requirements for realizing the vision of cooperative vehicular networks is then identified and discussed. We also discuss open research challenges in enabling CVN. Lastly, the paper concludes by highlighting key points of research and future directions in the domain of CVN.

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Section: Recent Advances In Cvnmentioning

confidence: 99%

Cooperative Vehicular Networking: A Survey

Ahmed

Gharavi

2018

IEEE Trans. Intell. Transport. Syst.

229

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“…We consider the Nakagami-m distribution to characterize the channel fading in the cognitive vehicular network [13], [35], [36]. Let ω 1 and ω 2 be the average signal-to-noise ratio (SNR) for the shared channel and the exclusive channel, respectively.…”

Section: Channel and Physical-layer Modelmentioning

confidence: 99%

Channel Access Optimization with Adaptive Congestion Pricing for Cognitive Vehicular Networks: An Evolutionary Game Approach

Tian

Zhou

Wang

et al. 2020

IEEE Trans. on Mobile Comput.

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Cognitive radio-enabled vehicular nodes as unlicensed users can competitively and opportunistically access the radio spectrum provided by a licensed provider and simultaneously use a dedicated channel for vehicular communications. In such cognitive vehicular networks, channel access optimization plays a key role in making the most of the spectrum resources. In this paper, we present the competition among self-interest-driven vehicular nodes as an evolutionary game and study fundamental properties of the Nash equilibrium and the evolutionary stability. To deal with the inefficiency of the Nash equilibrium, we design a delayed pricing mechanism and propose a discretized replicator dynamics with this pricing mechanism. The strategy adaptation and the channel pricing can be performed in an asynchronous manner, such that vehicular users can obtain the knowledge of the channel prices prior to actually making access decisions. We prove that the Nash equilibrium of the proposed evolutionary dynamics is evolutionary stable and coincides with the social optimum. Besides, performance comparison is also carried out in different environments to demonstrate the effectiveness and advantages of our method over the distributed multi-agent reinforcement learning scheme in current literature in terms of the system convergence, stability and adaptability.

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“…We assume that the communication vehicles in a mixed traffic flow are equipped with DSRC/IEEE802.11p, which propagate the PHY-layer signal on the licensed spectrum of 75MHz in the frequency band from 5.850 to 5.925 GHz [17]- [19]. According to much existing literature [6], [13], [15], [19], we adopt the Nakagami distribution to capture the fast smallscale fading in vehicular propagation channels. Let P be the power received at the receiver j from the transmitter i, and the corresponding received signal envelope from i be √ P , which is a random variable following a Nakagami distribution with the parameters (m, ω).…”

Section: B Modeling Of Vehicular Channel Fadingmentioning

confidence: 99%

“…However, it is non-trivial to achieve intact-content transmissions in the inter-vehicle channel. Several common significant characteristics of cooperative VANETs will make this design issue a challenging task [11], such as Dynamic and stochastic topology [12], Fast V2V channel fading [13], [14], and Serious channel contention [15].…”

Section: Introductionmentioning

confidence: 99%

Cooperative Content Transmission for Vehicular Ad Hoc Networks using Robust Optimization

Zhou

Chen

Sheng

et al. 2018

IEEE INFOCOM 2018 - IEEE Conference on Computer Communications

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Vehicular ad hoc networks (VANETs) have a potential to promote vehicular telematics and infotainment applications, where a key and challenging issue is the design of robust and efficient vehicular content transmissions to combat the lossy inter-vehicle links. In this paper, we focus on the robust optimization of content transmissions over cooperative VANETs. We first derive a stochastic model for estimation of time-varying inter-vehicle distance, which is dependent of the vehicle real-time kinematics and the distribution of the initial space headway. With this model, we analytically formulate the transient inter-vehicle connectivity assuming Nakagami fading channels for the physical (PHY) layer. We also model the contention nature of the medium access control (MAC) layer, on which we are based to evaluate the throughput achieved by each vehicle equipped with dedicated short-range communication (DSRC). Combining these models, we derive a closed-formed expression for the upper bound of the probability of failure in intact-content transmissions. Based upon this theoretical bound, we develop a robust optimization model for assigning content data traffic among different cooperative transmission paths, where the objective is to minimize the maximum likelihood of unsuccessful content transmissions over the cooperative VANET. We mathematically transform the optimization model to another equivalent form, such that it can be practically deployed. Finally, we validate our theoretical development with extensive simulations. Numerical results are also provided to confirm the power of cooperation in boosting the VANET performance as well as demonstrate the advantage of the proposed robust optimization in terms of content data reception reliability.

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Connectivity Analysis for Cooperative Vehicular Ad Hoc Networks Under Nakagami Fading Channel

Cited by 20 publications

References 14 publications

Cooperative Vehicular Networking: A Survey

Cooperative Vehicular Networking: A Survey

Channel Access Optimization with Adaptive Congestion Pricing for Cognitive Vehicular Networks: An Evolutionary Game Approach

Cooperative Content Transmission for Vehicular Ad Hoc Networks using Robust Optimization

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