3 research outputs found
SUNSEED β An evolutionary path to smart grid comms over converged telco and energy provider networks
SUNSEED, 'Sustainable and robust networking for smart electricity distribution', is a 3-year project started in 2014 and partially funded under call FP7-ICT-2013-11. The project objective is to research, design and implement methods for exploitation of existing communication infrastructure of energy distribution service operators (DSO) and telecom operators (telco) for the future smart grid operations and services. To achieve this objective, SUNSEED proposes an evolutionary approach to converge existing DSO and telco networks, consisting of six steps: overlap, interconnect, interoperate, manage, plan and open. Each step involves identification of the related smart grid service requirements and implementation of the appropriate solutions. The promise of SUNSEED approach lies in potentially much lower investments and total cost of ownership of future smart energy grids within dense distributed energy generation and prosumer environments
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
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 -out-of- 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