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A multi-radio unification protocol for IEEE 802.11 wireless networks

Adya, A., Bahl, P., Padhye, J., Wolman, A., Lidong Zhou·2004·First International Conference on Broadband Networks

Abstract

We present a link layer protocol called the multi-radio unification protocol or MUP. On a single node, MUP coordinates the operation of multiple wireless network cards tuned to non-overlapping frequency channels. The goal of MUP is to optimize local spectrum usage via intelligent channel selection in a multihop wireless network. MUP works with standard-compliant IEEE 802.11 hardware, does not require changes to applications or higher-level protocols, and can be deployed incrementally. The primary usage scenario for MUP is a multihop community wireless mesh network, where cost of the radios and battery consumption are not limiting factors. We describe the design and implementation of MUP, and analyze its performance using both simulations and measurements based on our implementation. Our results show that under dynamic traffic patterns with realistic topologies, MUP significantly improves both TCP throughput and user perceived latency for realistic workloads.

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Metadata

Authors
Adya, A., Bahl, P., Padhye, J., Wolman, A., & Zhou, L.
Venue
First International Conference on Broadband Networks
Published
2004-12-23
Pages
344-354
OpenAlex
W2103828746
Cited by
701
References
0
FWCI
25.06
Type
conference paper
Language
en
Open access
closed

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CoChat. (2026). Citation check: A multi-radio unification protocol for IEEE 802.11 wireless networks. https://app.cochat.ai/papers/10.1109/broadnets.2004.8
The paper
Adya, A., Bahl, P., Padhye, J., Wolman, A., & Zhou, L. (2004). A multi-radio unification protocol for IEEE 802.11 wireless networks. First International Conference on Broadband Networks. https://doi.org/10.1109/broadnets.2004.8

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.