Immersive video, such as virtual reality (VR) and multi-view videos, is growing in popularity. Its wireless streaming is an instance of general multicast, extending conventional unicast and multicast, whose effective design is still open. This paper investigates the optimization of general rate splitting with linear beamforming for general multicast. Specifically, we consider a multi-carrier single-cell wireless network where a multi-antenna base station (BS) communicates to multiple single-antenna users via general multicast. Linear beamforming is adopted at the BS, and joint decoding is adopted at each user. We consider the maximization of the weighted sum rate, which is a challenging nonconvex problem. Then, we propose an iterative algorithm for the problem to obtain a KKT point using the concave-convex procedure (CCCP). The proposed optimization framework generalizes the existing ones for rate splitting for various types of services. Finally, we numerically show substantial gains of the proposed solutions over existing schemes and reveal the design insights of general rate splitting for general multicast.

There is a demand in the automotive industry to connect two CAN-based subsystems. The commercial CAN-CAN gateway supports basic message forwarding with no real-time behavior. To address this issue, a new gateway architecture is described, on which we present a novel worst-case latency analysis. Specifically, we bound the arrival of the messages at the gateway, which is then used by the Pointer Reachability Exploration (PRE) to derive the interfering message jobs. Our analysis computes a safe gateway latency tighter than the conventional one applied in CAN. Furthermore, we propose a Targeted Priority Assignment (TPA) algorithm that targets at the priorities assigned at the CAN bus and runs a reordering at the gateway to enhance the schedulability. TPA performs better than DMPO (Deadline Monotonic Priority Ordering), while OPA (Audsley's Optimal Priority Assignment) cannot be applied in this context. Evaluation over real-life and scalable CAN message sets is conducted. The reported analysis and priority assignment algorithm are developed for dynamic use to improve the acceptance ratio and can also be deployed statically to provide timing guarantees. This work can be easily extended to support multiple CAN subsystems.

Guaranteeing safety is always a prerequisite in the process of realizing various automotive applications. However, the automotive functional safety design has been challenged by multiple factors, such as the complexity of the new generation automotive electrical and electronic (E/E) architecture, the continuous release and update of automotive functional safety standard International Standardization Organization (ISO) 26262, the release of new AUTOSAR adaptive platform standard, and the increase in different types of costs. In this article, we summarize the recent advances of automotive functional safety design methodologies through analysis, design, optimization, and runtime phases, respectively: 1) functional safety analysis; 2) functional safety guarantee; 3) safety-aware cost optimization; and 4) safety-critical multifunctional scheduling. Then, we provide the future trends in functional safety design methodologies that will be directly oriented to autonomous vehicles and adapt to the next generation functional safety standard ISO 21448.

This paper introduces promising millimetre wave backhaul deployment options that serve an ultra-dense outdoor radio access network installed on street-level fixtures. A backhaul architecture which is based on either Cloud-RAN (C-RAN) or Distributed-RAN (D-RAN) configuration is introduced. We investigate the advantages and disadvantages of utilising millimetre wave in bands 71-76 and 81-86 GHz and free space optics (FSO) to fronthaul/backhaul links. As an initial study, the proposed architecture based on D-RAN is applied to a dense urban city area where moving vehicles and other users are served mixed traffic, including high resolution on demand and real time video. The analysis shows that the unevenly distributed traffic caused by different user types and mobility requires that the location and number of backhaul links need to be carefully designed to overcome the problems of bottlenecks on the backhaul links.