Architectural Exploration and Design for Ultra-Reliable Low-Latency Indoor Robotics Systems

Modern day communication systems are evolving to support computation-intensive and communication-sensitive applications that impose diverse quality of service requirements on the network in terms of latency, reliability, and bandwidth. Applications such as autonomous vehicles, industrial automation, and remote surgery will require ultra-reliable and low-latency communication, paving the way towards resourceful servers closer to user, i.e., multi-access edge computing. However, the stringent requirements on both communication and computation make effective network control difficult. The high dynamicity of the involved processing and interaction patterns requires planning and deployment of architectures with optimal design and cross-optimization of computation and communication re-sources. In this work, we address the design problem with QoS guarantees and architectural exploration and optimization, to provide computing and communication resources, accounting for dynamic mobility, traffic, and application patterns in the context of edge servers.