Latency Analysis of Systems with Multiple Interfaces for Ultra-Reliable M2M Communication

One of the ways to satisfy the requirements of ultra-reliable low latency communication for mission critical Machine-type Communications (MTC) applications is to integrate multiple communication interfaces. In order to estimate the performance in terms of latency and reliability of such an integrated communication system, we propose an analysis framework that combines traditional reliability models with technology-specific latency probability distributions. In our proposed model we demonstrate how failure correlation between technologies can be taken into account. We show for the considered scenario with fiber and different cellular technologies how up to 5-nines reliability can be achieved and how packet splitting can be used to reduce latency substantially while keeping 4-nines reliability. The model has been validated through simulation.Comment: Accepted for IEEE SPAWC'1

Consideration of IEEE 802.11p and proposed 5G for holograms in vehicular communication

© Institution of Engineering and Technology.All Rights Reserved. Vehicular communication is the technology that allows vehicles to exchange information with other cars and its surroundings to enhance safety and efficiency of transportation systems. Informative communication, which includes vehicle's position, velocity, and location, enables the sensing of hazards and traffic congestion. In this paper, two vehicular communication standards, Institute of Electrical and Electronics Engineers (IEEE) 802.11p and the proposed next-generation cellular network 5G are compared for vehicular networking. A detailed comparative study of the standards concerning latency, coverage, scalability, and mobility. The results indicate that IEEE 802.11p offers acceptable performance with limited mobility support. Whereas, 5G meets most of the vehicular application requirements regarding latency, coverage, scalability, and mobility. 3D holographic communication in 5G would allow users to experience live and interactive meetings. The bandwidth requirement of 3D holograms is predicted to be in terabyte level. With compression techniques, the delivery of real-time holograms has been researched to require 10Gbps or higher

Ultra-Reliable Low Latency Communication (URLLC) using Interface Diversity

An important ingredient of the future 5G systems will be Ultra-Reliable Low-Latency Communication (URLLC). A way to offer URLLC without intervention in the baseband/PHY layer design is to use interface diversity and integrate multiple communication interfaces, each interface based on a different technology. In this work, we propose to use coding to seamlessly distribute coded payload and redundancy data across multiple available communication interfaces. We formulate an optimization problem to find the payload allocation weights that maximize the reliability at specific target latency values. In order to estimate the performance in terms of latency and reliability of such an integrated communication system, we propose an analysis framework that combines traditional reliability models with technology-specific latency probability distributions. Our model is capable to account for failure correlation among interfaces/technologies. By considering different scenarios, we find that optimized strategies can in some cases significantly outperform strategies based on $k$-out-of-$n$ erasure codes, where the latter do not account for the characteristics of the different interfaces. The model has been validated through simulation and is supported by experimental results.Comment: Accepted for IEEE Transactions on Communication

Cluster-Based Radio Resource Management for D2D-Supported Safety-Critical V2X Communications

Deploying direct device-to-device (D2D) links is a promising technology for vehicle-to-X (V2X) applications. However, intracell interference, along with stringent requirements on latency and reliability, are challenging issues. In this paper, we study the radio resource management problem for D2D-based safety-critical V2X communications. We first transform the V2X requirements into the constraints that are computable using slowly varying channel state information only. Secondly, we formulate an optimization problem, taking into account the requirements of both vehicular users (V-UEs) and cellular users (C-UEs), where resource sharing can take place not only between a V-UE and a C-UE but also among different V-UEs. The NP-hardness of the problem is rigorously proved. Moreover, a heuristic algorithm, called Cluster-based Resource block sharing and pOWer allocatioN (CROWN), is proposed to solve this problem. Finally, simulation results indicate promising performance of the CROWN scheme