2013/01/28 by Daniel Halperin, Daniel Chaim Halperin, Halperin, Daniel Chaim
Computer Science · Engineering · #Advanced MIMO Systems Optimization #FOS: Computer and information sciences #Networking and Internet Architecture (cs.NI) #Wireless Communication Networks Research #Wireless Networks and Protocols #cs.NI
paper · pdf · doi:10.48550/arxiv.1301.6644
Ph.D. Thesis, Department of Computer Science and Engineering, College of Engineering, University of Washington, 2012
arxiv created 2013/01/28 · openalex publication_date 2013/01/28 · arxiv updated 2013/01/29 · openalex created_date 2022/10/03 · openalex updated_date 2026/08/01
Advances in the price, performance, and power consumption of Wi-Fi (IEEE 802.11) technology have led to the adoption of wireless functionality in diverse consumer electronics. These trends have enabled an exciting vision of rich wireless applications that combine the unique features of different devices for a better user experience. To meet the needs of these applications, a wireless network must be configured well to provide good performance at the physical layer. But because of wireless technology and usage trends, finding these configurations is an increasingly challenging problem. Wireless configuration objectives range from simply choosing the fastest way to encode data on a single wireless link to the global optimization of many interacting parameters over multiple sets of communicating devices. As more links are involved, as technology advances (e.g., the adoption of OFDM and MIMO techniques in Wi-Fi), and as devices are used in changing wireless channels, the size of the configuration space grows. Thus algorithms must find good operating points among a growing number of options. ... continued inside thesis.