Cognitive radio (CR) and multi-input multi-output (MIMO) technologies have received great attention in recent years. While the former is viewed as a key enabling technology to improve spectrum utilization, the later has already proved itself as a powerful signal processing technique for increasing spectral efficiency. Through sensing and/or probing, CRs can opportunistically communicate on temporarily available spectrum bands while avoiding interference with spectrum-licensed primary users (PUs). By exploiting multiple transmit/receive antennas and spatial channel diversity, MIMO allows two communicating elements to extend their reach, reduce the required energy consumption, and/or boost the links transmission rate. The benefits of MIMO is exemplified by the proliferation of the 802.11n wireless LAN technology, which uses MIMOs multiplexing gain to achieve more than one order of magnitude increase in the links throughput compared to its 802.11g predecessor. Given the complementary nature of the MIMO and CR technologies, the underlying collaborative project between the University of Arizona (PI: Marwan Krunz) and Arizona State University (PI: James Aberle) seeks to identify the challenges associated with integrating the two. We refer to such integration as cognitive MIMO (CMIMO). We propose to develop centralized and distributed resource allocation strategies for CMIMO systems along with novel designs for reconfiguring the antennas of these systems, depending on the selected frequency channels.
|Effective start/end date||8/1/12 → 7/31/15|
- National Science Foundation (NSF): $70,000.00
Local area networks