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Proceedings Paper

Mobile infostation network technology
Author(s): Gowri Rajappan; Joydeep Acharya; Hongbo Liu; Narayan Mandayam; Ivan Seskar; Roy Yates
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Paper Abstract

Inefficient use of network resources on the battlefield is a serious liability: if an asset communicates with the network command for data-a terrain map, for instance-it ties up the end-to-end network resources. When many such assets contend for data simultaneously, traffic is limited by the slowest link along the path from the network command to the asset. A better approach is for a local server, known as an infostation, to download data on an anticipated-need basis when the network load is low. The infostation can then dump data when needed to the assets over a high-speed wireless connection. The infostation serves the local assets over an OFDM-based wireless data link that has MIMO enhancements for high data rate and robustness. We aim for data rate in excess of 100 Mbps, spectral efficiency in excess of 5 bits/sec/Hz, and robustness to poor channel conditions and jammers. We propose an adaptive physical layer that determines power levels, modulation schemes, and the MIMO enhancements to use based on the channel state and the level of interference in the system. We also incorporate the idea of superuser: a user who is allowed preferential use of the high data rate link. We propose a MAC that allows for this priority-based bandwidth allocation scheme. The proposed infostation MAC is integrated tightly with the physical layer through a cross-layer design. We call the proposed infostation PHY, MAC, and network technology, collectively, as the Mobile Infostation Network Technology (MINT).

Paper Details

Date Published: 12 May 2006
PDF: 9 pages
Proc. SPIE 6248, Wireless Sensing and Processing, 62480M (12 May 2006); doi: 10.1117/12.665982
Show Author Affiliations
Gowri Rajappan, Mayflower Communications Co., Inc. (United States)
Joydeep Acharya, Rutgers Univ. (United States)
Hongbo Liu, Rutgers Univ. (United States)
Narayan Mandayam, Rutgers Univ. (United States)
Ivan Seskar, Rutgers Univ. (United States)
Roy Yates, Rutgers Univ. (United States)


Published in SPIE Proceedings Vol. 6248:
Wireless Sensing and Processing
Raghuveer M. Rao; Sohail A. Dianat; Michael D. Zoltowski, Editor(s)

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