Agile and robust resource management in CSMA wireless networks

Kishore Ramachandran
With the recent push towards wireless broadband, and user migration towards mobile devices, it has become imperative for wireless networks to support higher network capacity, increased battery life, and greater mobility. While a combination of both local- and wide-area wireless technologies will be needed to meet these requirements, we believe that carrier-sense multiple-access (CSMA) wireless networks, if designed well, can play an important role in the future. Traditional CSMA wireless
more » ... SMA wireless networks, which form the basis for today's ubiquitous wireless LAN technology--IEEE 802.11 or WiFi, cannot satisfy the stated requirements mainly because they lack efficient resource management (or resource parameter adaptation) techniques. Several fundamental characteristics of these networks, and practical implementation challenges, also limit the applicability of solutions from other domains. Taken together, these considerations force us to fundamentally re-think the design of resource parameter adaptation for CSMA wireless networks.In this dissertation, we first identify that, to satisfy the requirements, resource management techniques for CSMA wireless networks should possess two fundamental, but conflicting properties, agility, and robustness. Briefly, to provide increased bandwidth to mobile users, agile solutions are required that exploit opportunities for improved performance; at the same time, solutions cannot afford to compromise on link robustness. In addition, we realize that striking this trade-off effectively calls for different solutions in indoor and outdoor environments. To prove these hypotheses, we present the design and implementation of two resource management frameworks, Symphony and Sonata, for indoor and outdoor environments respectively. Indoors, Symphony increases network capacity and battery life for mobile clients by addressing the classical problem of joint, per-link, transmit power control and rate adaptation. For improved robustness, Symphony uses novel mechanisms based on measuring the expected tr [...]
doi:10.7282/t3qj7hhq fatcat:lnfxogjc5bfkpkwzsn7hck3hoy