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Adopting multi-antenna signal processing in wireless networks Mar 1, 2007 12:00 PM By Steven Glapa Wireless operators are increasing their focus on data and multimedia services to drive revenue growth. This is creating demands for substantially improved radio equipment performance. Unfortunately, years of innovation in wireless have left little new technology ore to be mined for performance improvements. Multi-antenna signal-processing (MAS) software provides more control over the spatial distribution of radio energy, yielding well-proven order-of-magnitude performance improvements. As a result, MAS is being embraced as a key part of next-generation wireless networks like 3.5G, 3G-LET and WiMAX.
As the MAS software source with 14 years of experience in the field, the company can offer a few guidelines for MAS implementation. A technical discussion of specific algorithms is beyond the scope of this article, but here are some general principles:
This brings us to anticipate dynamic, seamless use of all approaches. It has been shown in the PHS implementation, where eight different MAS algorithms are selected on the fly for optimized performance — on a frame-by-frame and user-by-user basis — that MAS architectures can be dynamic systems. Many levels of radio system control (beyond individual cells to the network level, for example) can be incorporated into this sort of self-organizing optimization process. References
ABOUT THE AUTHOR
Steven Glapa is vice president of marketing at ArrayComm LLC, San Jose, Calif. Glapa holds an MBA from Columbia Business School and undergraduate degrees in physics from Carleton College and in computer science and mechanical engineering from George Washington University.
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