Dense Cooperative Wireless Cloud Network DIWINE Gentle Introduction

Transcription

1 Dense Cooperative Wireless Cloud Network DIWINE Gentle Introduction Jan Sýkora Czech Technical University in Prague partners: (co-ord.) Technische Universität Dresden, Germany; České vysoké učení technické v Praze, Czech Republic; Iquadrat Informatica S.L., Spain; Pepperl+Fuchs Srl, Italy; Politecnico di Milano, Italy; Toshiba Research Europe Limited, United Kingdom; University of York, United Kingdom , Brussels Future Networks FP7 Concertation meeting DIWINE J. Sýkora (CTU) Gentle Intro DIWINE, B2.1.0 ( ) 1 / 6

2 Identifying the problem Scenario to be solved relay, cooperative, ad-hoc wireless communications no centralized authority many nodes and many terminals with high area density dense interfering environment performance criteria throughput, energy/spectrum efficiency, reliability, latency Classical solution problems interference = major problem interference limited system orthogonal resource slicing reduces throughput complicated routing signaling overhead & latency interference signal carrying desired data or of function of that data classical ad-hoc mesh network source A source B relay data A data B unused destination B destination A interference limited system J. Sýkora (CTU) Gentle Intro DIWINE, B2.1.0 ( ) 2 / 6

3 DIWINE Core Concept Virtual Cloud Relay combined function of both A/B unused data A data B source A relay source B interference signal carrying desired data or of function of that data complementary information (friendly interference, helps decoding) destination B destination A combined information that allows decoding of data regardless of cloud structure Core concept elements dense massively air-interacting (relay) nodes in the self-contained cloud dense interaction is advantage, interference not avoided but exploited stochastically defined intra-cloud structure and connectivity terminals PHY/MAC interface to the cloud is simple and uniform J. Sýkora (CTU) Gentle Intro DIWINE, B2.1.0 ( ) 3 / 6

4 Progress beyond State-of-the-Art Reserch and Technical Novelty Wireless cloud serves as virtual relay to the simple and uniform terminals cloud is self-contained entity with distributed internal processing cloud does not reveal its internal structure/phy to the terminals Wireless Network Coding paradigm inside the stochastically defined cloud transformed data are flooded through the cloud (no routing of individual data) multi-hop stochastically defined networks are exploited in the cloud compare: current WNC requires full knowledge of the end-to-end connectivity structure at all nodes all nodes with individually crafted processing hand-made design for very small number of interacting nodes Cloud relays/nodes are dense massively parallel signal interactions imperfect/unreliable knowledge of the interacting signal structure and topology interference alignment and interference neutralization J. Sýkora (CTU) Gentle Intro DIWINE, B2.1.0 ( ) 4 / 6

5 Quantitative and Qualitative Metrics Utility Targets (UT) measurable and evaluable project achievements UT1 Spectrum and energy efficiency, data throughput UT2 Robustness, diversity, reliability and weak system state information impacts UT3 Latency, connectivity and signaling overhead UT4 Distributed self-adaptation (response time, side information, overhead) UT5 Dense interfering nodes issues (exploitation of friendly interference) UT6 Topology specific functionality UT7 Intra-node and intra-cloud inference and processing (contents processing) UT1-4 mostly quantitative, UT5-7 mostly qualitative or capability addressing J. Sýkora (CTU) Gentle Intro DIWINE, B2.1.0 ( ) 5 / 6

6 System Integration and Demonstration DIWINE research is generic and applicable in wide range of scenarios Proof-of-concept core application cases System-Level-Simulation Advanced Cloud Scenarios glue between the theory and practical verification allows advanced scenarios HW demonstrator #1 Smart Meter Network natural environment for demonstrating DIWINE concepts cloud virtual self-contained relay distributive processing direct impact on energy and resource savings direct connection to Smart Cities platform HW demonstrator #2 Critical Industrial Monitoring and Control verifies DIWINE concepts in terms of robustness critical reliability/latency first project to demonstrate cloud principles in critical industrial scenarios J. Sýkora (CTU) Gentle Intro DIWINE, B2.1.0 ( ) 6 / 6