Learning to share
| Autor: | Farinaz Edalat, Hariharan Rahul, Dina Katabi, Nate Kushman, Charles G. Sodini |
|---|---|
| Rok vydání: | 2008 |
| Předmět: |
Computer Networks and Communications
business.industry Wireless network Computer science ComputerSystemsOrganization_COMPUTER-COMMUNICATIONNETWORKS Throughput Spectrum management Radio spectrum Narrowband Cognitive radio Electronic engineering Wireless Wideband business Throughput (business) Software Computer network |
| Zdroj: | SIGCOMM |
| ISSN: | 0146-4833 |
| Popis: | Wideband technologies in the unlicensed spectrum can satisfy the ever-increasing demands for wireless bandwidth created by emerging rich media applications. The key challenge for such systems, however, is to allow narrowband technologies that share these bands (say, 802.11 a/b/g/n, Zigbee) to achieve their normal performance, without compromising the throughput or range of the wideband network. This paper presents SWIFT, the first system where high-throughput wideband nodes are shown in a working deployment to coexist with unknown narrowband devices, while forming a network of their own. Prior work avoids narrowband devices by operating below the noise level and limiting itself to a single contiguous unused band. While this achieves coexistence, it sacrifices the throughput and operating distance of the wideband device. In contrast, SWIFT creates high throughput wireless links by weaving together non-contiguous unused frequency bands that change as narrowband devices enter or leave the environment. This design principle of cognitive aggregation allows SWIFT to achieve coexistence, while operating at normal power, and thereby obtaining higher throughput and greater operating range. We implement SWIFT on a wideband hardware platform, and evaluate it in the presence of 802.11 devices. In comparison to a baseline that coexists with narrowband devices by operating below their noise level, SWIFT is equally narrowband-friendly but achieves 3.6-10.5x higher throughput and 6x greater range. |
| Databáze: | OpenAIRE |
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