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WiMAX-based Mesh Networking with Smart Adaptive Antennas

WiMAX-based Mesh Networking with Smart Adaptive Antennas Principal Investigators: Jian (Neil) Tang, Richard Wolff and Yikun Huang Industry Partner: Advanced Acoustic Concepts (AAC) Inc. Funded in part by the Montana Board of Research and Commercialization Technology and NSF CAREER Program.

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WiMAX-based Mesh Networking with Smart Adaptive Antennas

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  1. WiMAX-based Mesh Networking with Smart Adaptive Antennas Principal Investigators: Jian (Neil) Tang, Richard Wolff and Yikun Huang Industry Partner: Advanced Acoustic Concepts (AAC) Inc. Funded in part by the Montana Board of Research and Commercialization Technology and NSF CAREER Program • Goals • Develop a relay node, and networking software infrastructure that will leverage a compact, low-cost smart adaptive antenna system and new radio technologies to provide robust, long-range and high-speed wireless communications. This project addresses the following key research areas: • Relay node design • MAC layer design • Routing protocol design • Testbed implementation and validation Application Areas: • Range extension for broadband Internet access in rural and remote areas • High-speed connectivity between buoy-mounted sensors and ships • Broadband backbone for emergency communications • Relay Node and Smart Antenna Models • OPNET Modeler 14.5 and IEEE 802.16e based WiMAX wireless modeling suite • A relay node model with multiple network interfaces, which can connect a Base Station (BS) with multiple Subscriber Stations (SS) • Dynamic routing capability • A fully adaptive directional antenna model which can track mobile nodes and adjust its orientation in real time. • Extensive simulations based on real scenarios provided by AAC Inc. • Interference-Aware Routing and Scheduling • A polynomial-time optimal algorithm to solve the Interference-aware Tree Construction Problem (ITCP) which offers consideration for both interference impact and resource availability. It significantly outperforms the well-known BFS and MST based routing algorithms. • An optimal scheduling algorithm for a special case where the number of antenna elements in each node is large enough to suppress all potential secondary interference. • An effective interference-aware scheduling algorithm for the general case. • Compared with other methods such as the FirstFit+BFS, our interference aware routing and scheduling algorithms can improve throughput by 154% and fairness index by 177% on average. • Testbed Implementation and Validation • Based on off-the-shelf hardware, such as Airspan WiMAX radio • Based on smart adaptive antenna developed at MSU • Implementation of the proposed resource allocation algorithms • Proof-of-concept demonstration • References • Y. Xu, S. Wan, J. Tang and R. S. Wolff, Interference aware routing and scheduling in wireless backhaul networks with smart antennas, Submitted to IEEE Secon’2009. • B. Mumey, J. Tang and T. Hahn, Joint stream control and scheduling in multihop wireless networks with MIMO links, Proceedings of IEEE ICC’2008, pp. 2921–2925. • K. Sundaresan, W. Wang and S. Eidenbenz, Algorithmic aspects of communication in ad hoc networks with smart antennas, Proceedings of ACM MobiHoc’2006, pp. 299–309.

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