A Flexible and Reconfigurable 5G Networking Architecture Based on Context and Content Information

The need for massive content delivery is a consolidated trend in mobile communications, and will even increase for next years. Moreover, while 4G maturity and evolution is driven by video contents, next generation (5G) networks will be dominated by heterogeneous data and additional massive diffusion of Internet of Things (IoT). The current network architecture is not sufficient to cope with such traffic, which is heterogeneous in terms of latency and QoS requirements, and variable in space and time. This paper proposes architectural advances to endow the network with the necessary flexibility helping to adapt to these varying traffic needs by providing content and communication services where and when actually needed. Our functional hardware/software (HW/SW) architecture aims at influencing future system standardization and leverage the benefits of some key 5G networking enablers described in the paper. Preliminary results demonstrate the potential of these key technologies to support the evolution toward content-centric and context-aware 5G systems

Constraint-based test-scheduling of embedded microprocessors

Test scheduling is a key aspect in the automation of embedded microprocessors self-testing. This paper presents a self-testing framework targeting the LEON3 embedded microprocessor with built-in test-scheduling features. The proposed design exploits existing postproduction test sets, designed for software-based testing of embedded microprocessors. The framework also includes a constraint-based approach of test-routine scheduling. The initial results show that the test execution time could be dynamically scaled by the test selection algorithm. The scheduler itself adds insignificant overheads in terms of execution cost and code size