Cooperative Relaying for URLLC in V2X Networks

We characterize a two-phase transmission scheme for a vehicle-to-everything (V2X) network, designed for ultra-reliable low-latency communications (URLLC). In the proposed scheme, the user-plane latency period for the URLLC application is divided into two phases by a partitioning factor. First, we derive the signal to noise ratio (SNR) coverage probability of a test vehicular node in the network as a function of the partitioning factor. We also study the impact of interference on the system performance. We show that the proposed scheme performs better in terms of the service outage as compared to a broadcast-only protocol for small file sizes. On the contrary, resource partitioning proves detrimental for large file sizes. Then, for the noise-limited case, we study the trend of the optimal resource-partitioning factor with respect to the transmitted data-size and the density of the vehicular nodes in the network. This letter shows that the data-size has a larger impact on the information outage, as compared to the density of the vehicular nodes.

[1]  Barbara M. Masini,et al.  On the Performance of IEEE 802.11p and LTE-V2V for the Cooperative Awareness of Connected Vehicles , 2017, IEEE Transactions on Vehicular Technology.

[2]  Anant Sahai,et al.  Cooperative communication for high-reliability low-latency wireless control , 2015, 2015 IEEE International Conference on Communications (ICC).

[3]  T. Mattfeldt Stochastic Geometry and Its Applications , 1996 .

[4]  Kezhi Wang,et al.  Achievable Data Rate for URLLC-Enabled UAV Systems With 3-D Channel Model , 2019, IEEE Wireless Communications Letters.

[5]  Javier Gozalvez,et al.  LTE-V for Sidelink 5G V2X Vehicular Communications: A New 5G Technology for Short-Range Vehicle-to-Everything Communications , 2017, IEEE Vehicular Technology Magazine.

[6]  B. Blaszczyszyn,et al.  Maximizing throughput of linear vehicular Ad-hoc NETworks (VANETs) — a stochastic approach , 2009, 2009 European Wireless Conference.

[7]  Yansha Deng,et al.  Joint Power and Blocklength Optimization for URLLC in a Factory Automation Scenario , 2019, IEEE Transactions on Wireless Communications.

[8]  Arumugam Nallanathan,et al.  Stochastic Geometry Modeling of Cellular V2X Communication Over Shared Channels , 2018, IEEE Transactions on Vehicular Technology.

[9]  Mohamed-Slim Alouini,et al.  A Stochastic Geometry Model for Multi-Hop Highway Vehicular Communication , 2016, IEEE Transactions on Wireless Communications.

[10]  Marco Di Renzo,et al.  Stochastic Geometry Modeling of Coverage and Rate of Cellular Networks Using the Gil-Pelaez Inversion Theorem , 2014, IEEE Communications Letters.

[11]  Xiaohu Ge,et al.  5G Software Defined Vehicular Networks , 2017, IEEE Communications Magazine.

[12]  Vincent Yan Fu Tan,et al.  The third-order term in the normal approximation for the AWGN channel , 2014, 2014 IEEE International Symposium on Information Theory.

[13]  Wei Yu,et al.  Interference Mitigation for Ultrareliable Low-Latency Wireless Communication , 2019, IEEE Journal on Selected Areas in Communications.

[14]  Li Zhao,et al.  Vehicle-to-Everything (v2x) Services Supported by LTE-Based Systems and 5G , 2017, IEEE Communications Standards Magazine.

[15]  Arumugam Nallanathan,et al.  Joint Blocklength and Location Optimization for URLLC-Enabled UAV Relay Systems , 2019, IEEE Communications Letters.