Power Allocation and Relay Selection for Multisource Multirelay Cooperative Vehicular Networks

Xiao, Hailin; Hu, Yue; Yan, Kun; Ouyang, Shan

doi:10.1109/tits.2016.2548000

Cited by 31 publications

(18 citation statements)

References 40 publications

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“…Xiao et al [17] develop a joint power allocation and relay selection mechanism for hybrid decode-amplify-forward (HDAF) networks. The proposed solution takes advantage of the ranking value computed for channel characteristics at relay nodes.…”

Section: Recent Advances In Cvnmentioning

confidence: 99%

“…In addition, routing protocols can further benefit from cooperation between the MAC and PHY layers in selecting a suitable path from source to destination [14]–[16]. Also, a great deal of research has been carried out with respect to power allocation [17], [18], link scheduling [19]–[22], and security [23]–[25]. These cooperative strategies highlight a few examples of the wide ranging research activities covering routing protocols, MAC protocols, traffic management, beaconing protocols, and mobility models, which are built upon a few decades of research progress in the general area of vehicular communications and cooperative networking.…”

Section: Introductionmentioning

confidence: 99%

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Cooperative Vehicular Networking: A Survey

Ahmed

Gharavi

2018

IEEE Trans. Intell. Transport. Syst.

228

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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%

Section: Introductionmentioning

confidence: 99%

Cooperative Vehicular Networking: A Survey

Ahmed

Gharavi

2018

IEEE Trans. Intell. Transport. Syst.

228

View full text Add to dashboard Cite

show abstract

“…Recently, many works have been researched on relay selection applications due to its advantages in vehicular networks [12][13][14][15]. Reference [12] proposed a power allocation and relay selection scheme limited by outage probability to increase the performance of vehicular networks. Reference [13] reported on cooperative diversity with relay selection over cascaded Rayleigh fading channels in dual-hop decode-and-forward (DF) vehicular networks.…”

Section: Related Workmentioning

confidence: 99%

Analysis and Design of Functional Device for Vehicular Cloud Computing

Sha

Wang

et al. 2019

Electronics

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Relay technology application becomes prevalent nowadays, as it can effectively extend the communication distance, especially for vehicular networks with a limited communication range. Combined with vehicular cloud (VC), transmission efficiency can be improved by offloading partial data. Hence, designing a vehicle relay algorithm and implementation embedded vehicle device is critical. In this paper, VC is considered to deal with the complexity computation in our proposed system model. Without a loss of generality, an end-to-end vehicle communication with one assisted vehicle is analyzed firstly on a transmission link based on VC. Here, the signal-to-noise ratio (SNR) on the receiving end and link outage probability is obtained to enhance the link reliability. The VC computing helps us further simplify computational complexity. Subsequently, an embedded vehicle-enabled device is designed to achieve the optimal path relay selection in realistic vehicular environments. In the functional device framework, we display an optimal path relay selection algorithm according to the link quality. Finally, the performance of the transmission link on the outage probability related with SNR is verified in the simulation results. Meanwhile, the effect of the relay gain is also analyzed. The application of a vehicle-enabled embedded device could improve the performance of vehicular networks.

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“…Basically, the benefits brought about by employing D2D technique comes from the fact that "the D2D links (DLs) are allowed to reuse the licensed spectrum that was supposed to be exclusively occupied by the conventional cellular links (CLs)". The spectrum utilization can thus be substantially improved by implementing D2D transmissions [24]. Even so, there are still many core problems that should be broken…”

Section: Introductionmentioning

confidence: 99%

Maximum and Optimal Number of Activated Links for D2D-Aided Underlaying Cellular Networks

Sun

Zhang

et al. 2020

IEEE Access

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With the rapid popularity of smart terminals, the device-to-device(D2D) communication is recognized as one of the most promising techniques in the fifth-generation(5G) communications networks due to its capabilities of substantially improving the spectral efficiency, relieving the traffic burden in the base stations(BSs), and reducing the terminals' power consumptions, etc. By properly activating some D2D links(DLs), the sum data rate of the D2D-aided cellular networks(CNs) can be substantially improved. However, constrained by the severe interference imposed on the conventional cellular users (CUs) by the activating D2D users (DUs), the sum data rate of the D2D-aided CNs cannot be unlimitedly improved in a crude way of simply increasing the number/density of DLs. In other words, there must exist a maximum/optimal number of activating DLs in terms of the sum data rate, as revealed in this paper. By identifying the maximum/optimal number of activating DLs, the closed-form expressions for sum data rates of both cellular links(CLs) and DLs can be obtained. Numerical results show that the optimum number of activating DLs, as a function of several critical parameters such as DU's transmit power, signalto-interference-plus-noise ratio threshold and outage probability of CLs/DLs, etc, can be determined by implementing the proposed algorithms.

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Power Allocation and Relay Selection for Multisource Multirelay Cooperative Vehicular Networks

Cited by 31 publications

References 40 publications

Cooperative Vehicular Networking: A Survey

Cooperative Vehicular Networking: A Survey

Analysis and Design of Functional Device for Vehicular Cloud Computing

Maximum and Optimal Number of Activated Links for D2D-Aided Underlaying Cellular Networks

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