Context-aware resource allocation for cellular wireless networks

Abstract

Current cellular networks are often overloaded by Smartphone traffic, while the usersâ[euro](TM) Quality of Service (QoS) demands are not met. To cope with this problem, we demonstrate a new radio resource management approach. With Context-Aware Resource Allocation, the base stationâ[euro](TM)s scheduler (i) observes Context Information (CI) from the userâ[euro](TM)s environment and (ii) utilizes this knowledge for an efficient throughput-delay tradeoff. After introducing our framework for accessing CI from the handheldâ[euro](TM)s applications and operating system, we use time-utility functions to develop a practical scheduling algorithm. Studying this heuristic under various traffic assumptions shows that our context-aware scheduler can support three times the load of proportional fair scheduling, at equal capacity and utility. Thus, even a small degree of CI increases the wireless linksâ[euro](TM) efficiency without sacrificing the usersâ[euro](TM) QoS.[PUBLICATION ABSTRACT]