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SOLOR: Self-Optimizing WLANs with Legacy-Friendly Opportunistic Relays

Garcia-Saavedra, Andres and Rengarajan, Balaji and Serrano, Pablo and Camps-Mur, Daniel and Costa-Perez, Xavier (2012) SOLOR: Self-Optimizing WLANs with Legacy-Friendly Opportunistic Relays. [Technical Reports]

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Abstract

Current IEEE 802.11 WLANs suffer from the well- known rate anomaly problem, which can drastically reduce network performance. Opportunistic relaying can address this problem, but three major considerations, typically considered separately by prior work, need to be taken into account for an efficient deployment in real-world systems: 1) relaying could imply increased power consumption, and nodes might be hetero- geneous, both in power source (e.g., battery-powered vs. socket- powered) and power consumption profile; 2) similarly, nodes in the network are expected to have heterogeneous throughput needs and preferences in terms of the throughput vs. energy consumption trade-off; and 3) any proposed solution should be backwards-compatible, given the large number of legacy 802.11 devices already present in existing networks. In this paper, we propose a novel framework, Self-Optimizing, Legacy-Friendly Opportunistic Relaying (SOLOR), which jointly takes into account the above considerations and greatly improves network performance even in systems comprised mostly of vanilla nodes and unmodified access points. SOLOR jointly optimizes the topology of the network, i.e., which are the nodes associated to each relay-capable node; and the relay schedules, i.e., how the relays split time between the downstream nodes they relay for and the upstream flow to an access point. The results, obtained for a large variety of scenarios and different node preferences, illustrate the significant gains achieved by our approach. Its feasibility is demonstrated through test-bed experimentation in a realistic deployment.

Item Type: Technical Reports
Subjects: UNSPECIFIED
Divisions: UNSPECIFIED
Depositing User: Rebeca De Miguel
Date Deposited: 04 Aug 2014 11:36
Last Modified: 16 Jun 2017 12:50
URI: http://eprints.networks.imdea.org/id/eprint/863

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