Sensing-Based Power Adaptation for Cellular V2X Mode 4

Kang, Byungjun; Jung, Sung‐Hoon; Bahk, Saewoong

doi:10.1109/dyspan.2018.8610405

Cited by 32 publications

(41 citation statements)

References 4 publications

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“…Ineffectiveness of power variations is in fact shown in [22], where the same SAE J2945/1 algorithm is applied to the cellular technology. Even in [9], [10], where improvements varying the power level in LTE-V2X are shown, they appear very limited.…”

Section: B Resultsmentioning

confidence: 98%

Congestion Control Mechanisms in IEEE 802.11p and Sidelink C-V2X

Bazzi

2019

2019 53rd Asilomar Conference on Signals, Systems, and Computers

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1 Connected vehicles are expected to play a major role in the next future to improve safety and traffic efficiency on the road and short-range technologies have been defined to enable the direct exchange of information. To this aim, two solutions are currently the subject of a debate that goes beyond the technician, i.e., IEEE 802.11p and sidelink cellular-vehicle-to-anything (C-V2X). Tested and mature for deployment the first, possibly more efficient the second. In both cases, one of the main aspects is the management of channel congestions, which can cause serious packet losses and have a critical impact on the reliability of applications. Congestions can be managed through different approaches, including the control of transmission power, packet generation frequency, and the adopted modulation and coding scheme. Congestion management has been well studied in IEEE 802.11p, with consolidated algorithms included in the standards, whereas it appears somehow as a new topic looking at C-V2X. In this work, a review of the main congestion control mechanisms and a discussion of their applicability and efficiency in the two technologies is provided. This topic is addressed without focusing on specific algorithms and with the aim to provide general guidelines as a starting point for new proposals.

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Section: B Resultsmentioning

confidence: 98%

Congestion Control Mechanisms in IEEE 802.11p and Sidelink C-V2X

Bazzi

2019

2019 53rd Asilomar Conference on Signals, Systems, and Computers

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“…This is an important observation which indicates Range/Power Control reaches its saturation point even in medium density scenarios. We suggest that this is due to the definition of CBP by 3GPP and employing more appropriate metrics can enhance the Range Control as also shown in [9].…”

Section: ) Improvement In Network Capacitymentioning

confidence: 78%

Analysis of Distributed Congestion Control in Cellular Vehicle-to-Everything Networks

Toghi

Saifuddin

Fallah

et al. 2019

2019 IEEE 90th Vehicular Technology Conference (VTC2019-Fall)

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Cellular Vehicle-to-everything (C-V2X) communication has been proposed in the 3rd Generation Partnership Project release 14 standard to address the latency and reliability requirements of cooperative safety applications. Such applications can involve highly congested vehicular scenarios where the network experiences high data loads. Thus, a sophisticated congestion control solution is vital in order to maintain the network performance required for safety-related applications. With the aid of our high-fidelity link-level network simulator, we investigate the feasibility of implementing the distributed congestion control algorithm specified in SAE J2945/1 standard on top of the C-V2X stack. We describe our implementation and evaluate the performance of transmission rate and range control mechanisms using relevant metrics. Additionally, we identify areas for potential design enhancements and further investigation.

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“…As a result, (40) needs to be modified by removing p LF in order to compute the probability that v i interferes v t when v t is in random mode and transmits a LF packet:   The probability of packet loss due to collisions (δ COL ) is then computed with (22) and (23)-(41). Finally, the PDR is computed using (10) where δ HD , δ SEN , δ PRO and δ COL are obtained from (12), (16), (17) and (22), respectively.…”

Section: D1 Probability That Interference Is Higher Than Thresholdmentioning

confidence: 99%

“…[15] modifies SPS so that higher weight is given to the most recent signal level measurements when selecting new resources. [16] proposes a power control algorithm to reduce interference when Geo-Based Scheduling for C-V2X Networks Rafael Molina-Masegosa, Miguel Sepulcre and Javier Gozalvez IEEE copyright. This is an author-created postprint version.…”

Section: Introductionmentioning

confidence: 99%

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Geo-Based Scheduling for C-V2X Networks

Molina-Masegosa

Sepulcre

Gozálvez

2019

IEEE Trans. Veh. Technol.

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Abstract-Cellular Vehicle-to-Everything (C-V2X) networks can operate without cellular infrastructure support. Vehicles can autonomously select their radio resources using the sensing-based Semi-Persistent Scheduling (SPS) algorithm specified by the Third Generation Partnership Project (3GPP). The sensing nature of the SPS scheme makes C-V2X communications prone to the wellknown hidden-terminal problem. To address this problem, this paper proposes a novel geo-based scheduling scheme that allows vehicles to autonomously select their radio resources based on the location and ordering of neighboring vehicles on the road. The proposed scheme results in an implicit resource selection coordination between vehicles (even with those outside the sensing range) that reduces packet collisions. This paper evaluates analytically and through simulations the proposed scheduling scheme. The obtained results demonstrate that it reduces packet collisions and significantly increases the C-V2X performance compared to when using the sensing-based SPS scheme. -C-V2X, V2X, 5G V2X, LTE-V, scheduling, PC5, sidelink, V2V, hidden-terminal, radio resource management. Index Terms

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Sensing-Based Power Adaptation for Cellular V2X Mode 4

Cited by 32 publications

References 4 publications

Congestion Control Mechanisms in IEEE 802.11p and Sidelink C-V2X

Congestion Control Mechanisms in IEEE 802.11p and Sidelink C-V2X

Analysis of Distributed Congestion Control in Cellular Vehicle-to-Everything Networks

Geo-Based Scheduling for C-V2X Networks

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