Radio Resource Management for D2D-Based V2V Communication

Sun, Wei; Ström, Erik G.; Brännström, Fredrik; Sou, Kin Cheong; Sui, Yutao

doi:10.1109/tvt.2015.2479248

Cited by 271 publications

(146 citation statements)

References 21 publications

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“…ud,ji = β V2V ud,ji h V2V ud,ji ∈ C N ×1 denote the channel vector spanning from the i-th V2V transmitter on the j-th road to the d-th V2V receiver on the u-th road, where β V2V ud,ji and h V2V ud,ji represent the large-scale fading and small-scale fading, respectively. The large-scale fading is given by β V2V ud,ji = θ(d V2V ud,ji ) −α , where θ is a constant related to the antenna gain and 1 In this paper, we take the underlay mode as a general scenario to analyze and optimize the performance of the V2V URLLC system [9], [10], [13]. The overlay mode can be regarded as a special case of the underlay mode.…”

Section: ) V2v Channel: Let G V2vmentioning

confidence: 99%

Joint Frame Design and Resource Allocation for Ultra-Reliable and Low-Latency Vehicular Networks

Yang

Zheng

Qian

2020

IEEE Trans. Wireless Commun.

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The rapid development of the fifth generation mobile communication systems accelerates the implementation of vehicle-to-everything communications. Compared with the other types of vehicular communications, vehicle-to-vehicle (V2V) communications mainly focus on the exchange of driving safety information with neighboring vehicles, which requires ultra-reliable and low-latency communications (URLLCs). However, the frame size is significantly shortened in V2V URLLCs because of the rigorous latency requirements, and thus the overhead is no longer negligible compared with the payload information from the perspective of size. In this paper, we investigate the frame design and resource allocation for an urban V2V URLLC system in which the uplink cellular resources are reused at the underlay mode. Specifically, we first analyze the lower bounds of performance for V2V pairs and cellular users based on the regular pilot scheme and superimposed pilot scheme. Then, we propose a frame design algorithm and a semi-persistent scheduling algorithm to achieve the optimal frame design and resource allocation with the reasonable complexity. Finally, our simulation results show that the proposed frame design and resource allocation scheme can greatly satisfy the URLLC requirements of V2V pairs and guarantee the communication quality of cellular users. Index TermsVehicular networks (VNET), vehicle-to-vehicle (V2V), ultra-reliable and low-latency communications (URLLC), finite blocklength theory, massive MIMO. Haojun Yang and Kan Zheng are with the Intelligent Computing and Communications (IC 2 ) Lab, Wireless Signal Processing and Networks (WSPN) Lab,

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Section: ) V2v Channel: Let G V2vmentioning

confidence: 99%

Joint Frame Design and Resource Allocation for Ultra-Reliable and Low-Latency Vehicular Networks

Yang

Zheng

Qian

2020

IEEE Trans. Wireless Commun.

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“…P S,max and P C,max are the maximum transmission power during two phases, and L max denotes the requirement of latency. Based on (25) and (26), one can find that (25) Proof: See Appendix C.…”

Section: Novel Performance Metric For Networked Control System Witmentioning

confidence: 99%

Leveraging Linear Quadratic Regulator Cost and Energy Consumption for Ultrareliable and Low-Latency IoT Control Systems

Yang

Zheng

Qian

2020

IEEE Internet Things J.

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To efficiently support the real-time control applications, networked control systems operating with ultra-reliable and low-latency communications (URLLCs) become fundamental technology for future Internet of things (IoT). However, the design of control, sensing and communications is generally isolated at present. In this paper, we propose the joint optimization of control cost and energy consumption for a centralized wireless networked control system. Specifically, with the "sensing-then-control" protocol, we first develop an optimization framework which jointly takes control, sensing and communications into account. In this framework, we derive the spectral efficiency, linear quadratic regulator cost and energy consumption. Then, a novel performance metric called the energy-to-control efficiency is proposed for the IoT control system. In addition, we optimize the energy-to-control efficiency while guaranteeing the requirements of URLLCs, thereupon a general and complex max-min joint optimization problem is formulated for the IoT control system. To optimally solve the formulated problem by reasonable complexity, we propose two radio resource allocation algorithms. Finally, simulation results show that our proposed algorithms can significantly improve the energy-to-control efficiency for the IoT control system with URLLCs. Index TermsInternet of things (IoT), networked control systems, ultra-reliable and low-latency communications (URLLC), energy-to-control efficiency (ECE), finite blocklength theory, massive MIMO. Haojun Yang and Kan Zheng are with the Intelligent Computing and Communications (IC 2 ) Lab, Wireless Signal Processing and Networks (WSPN) Lab,

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“…In release 14, it was mentioned that D2D communication can be applied for V2V communication in vehicular networks. Localized nature of vehicular networks, which is similar to D2D communication in LTE (ProSe), provides some gains such as proximity gain, reuse gain, and hop gain [23].…”

Section: Challenges With Conventional Lte In Vehicular Networkmentioning

confidence: 99%

“…An optimization problem has been solved in [23] which transforms QoS requirements of V2V communications to the constraints of the problem. They solve the problem utilizing slowly changing CSI information instead instantaneous CSI information.…”

Section: Centralized Resource Allocation Schemesmentioning

confidence: 99%

LTE-D2D for connected cars: a survey on radio resource management schemes

2018

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Long-Term Evolution (LTE) is a promising technology to be applied for different applications due to its high penetration, high data rate, reliability, and QoS support. One of the emerging applications for LTE is vehicular networks. Vehicular networks can raise traffic safety, improve traffic management, or provide infotainment services for road users. LTE device-to-device (LTE-D2D) communication which was proposed by 3GPP working group is also a good candidate to be applied for vehicleto-vehicle communications (V2V). The V2V communication for traffic safety has strict QoS requirements in terms of latency and reliability. LTE-D2D may provide high reliability and low latency for such a communication. However, an efficient radio resource management for V2V communications in an LTE network is required to support such requirements. In the current article, we introduce vehicular networks, their requirements, and existing technologies to be employed in them and specially look at LTE-D2D to connect cars. Most recent works in radio resource management for V2V communications in LTE are reviewed in this work.

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Radio Resource Management for D2D-Based V2V Communication

Cited by 271 publications

References 21 publications

Joint Frame Design and Resource Allocation for Ultra-Reliable and Low-Latency Vehicular Networks

Joint Frame Design and Resource Allocation for Ultra-Reliable and Low-Latency Vehicular Networks

Leveraging Linear Quadratic Regulator Cost and Energy Consumption for Ultrareliable and Low-Latency IoT Control Systems

LTE-D2D for connected cars: a survey on radio resource management schemes

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