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Explore the cooperation and heterogeneity in ambient networks, focusing on the MRA architecture, GLL abstraction, and MRRM functions for efficient access selection. Discover future outlooks on cognitive capacities and mesh extensions in network technologies.
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Access Selection and Cooperation in Ambient Networks(from Cooperative Networking) Ramón Agüero (Ed. Wiley)
Cooperation & Heterogeneity • Growing presence of heterogeneous networks • Radio technology • Operators • Mobility solutions • Etc • Need solutions to deal with it (without direct user involvement)
Ambient Networks • High level architecture
Ambient Networks • Ambient Control Space (ACS): set of dynamic & flexible Functional Entities • Abstraction Layer • Interfaces • Ambient Network Interface (ANI): between ANs • Ambient Resource Interface (ARI): with subjacent technologies • Ambient Service Interface (ASI): with services
Multi-Radio Access • MRA Architecture
Multi-Radio Access • Part of ACS dealing with access selection • Two main entities • Generic Link Layer (GLL) • Multi-Radio Resource Management (MRRM)
Generic Link Layer • It abstracts information about the available resources • Enables fair comparison between various technologies • Maps link quality over a generic metric • Load and available capacity are also harmonized • Based on GLL_Control and GLL_Abstraction Layer
Generic Link Layer • Abstraction at the GLL
Multi-Radio Resource Management • Main control entity of MRA • Selects the most appropriate access alternative • It uses the GLL services • Monitors the available networks • Collects information about their current status • MRRM executes access selection algorithms
Other Functional Entities • Triggering • Collects events which might lead to a new access selection • Send them to the interested parties • Handover and Locator Management • It is charge of executing mobility at an IP level • Path Selection • It gathers information from the network (e2e perspective)
MRA Functions • Based on a number of elements
MRA Functions • Detected Set (DS) • Access elements detected by a terminal • Validated Set (VS) • Against general policies (e.g. operator) • Candidate Set (CS) • Elements which can cope with requirements • Active Set (AS) • Elements assigned to the current flow
MRA Functions • Announcement and discovery • Mechanisms to announce the presence of networks • Beacon packets with “complementary” information elements • Proactive information given by the network with near-by alternatives • Role of triggering (to inform about a new access)
MRA Functions • Connection establishment • The MRRM gets a request from a service via the ASI • The MRRM (together with Path Selection) establishes the CS and then the AS • Finally the HOLM is instantiated to cope with locator assignment • GLL is configured to monitor current AS
Handover • Connection establishment procedure after various events • Decrease of link quality • Load increase • Change on service requirements • User preferences • Etc
Related Work • Various architectures similar to MRRM/GLL • CRRM, JRRM, CARM • Focused on particular technologies: mostly 3G and WLAN • Cooperation/competition between operators
Outlook • The MRA is flexible enough to integrate new functionalities • Two of the most promising ones are… • Cognitive capacity • Mesh extensions
Outlook: cognition • Increase need of distributed approaches to distribute available resources (i.e. cooperation) • Cognition should spam across the whole protocol stack • Need to go beyond the traditional cognitive radio realm • The MRA provides an appropriate framework to foster this
Outlook: mesh extensions • Recent interest on mesh (multi-hop) extensions • Coverage extension • Performance enhancements • Non-conventional networks: e.g. community, user-provided • Use of Network Coding to boost performance (e.g. multicast) • Challenge to include this information on the abstraction mechanisms of the GLL
Conclusions • Multi-Radio Architecture of Ambient Networks • Generic Link Layer (GLL): abstraction of subjacent networks • Multi-Radio Resource Management (MRRM): intelligence, access selection algorithms • Flexibility to include… • Cognitive capacities • Mesh extensions