Context-Aware Resource Allocation for Cellular Wireless Networks
Current cellular networks are often overloaded by Smartphone traffic, while the users' Quality of Service (QoS) demands are not met. To cope with this problem, the authors demonstrate a new radio resource management approach. With Context-Aware Resource Allocation, the base station's scheduler: observes Context Information (CI) from the user's environment and utilizes this knowledge for an efficient throughput-delay tradeoff. After introducing their framework for accessing CI from the handheld's applications and operating system, they use time-utility functions to develop a practical scheduling algorithm. Studying this heuristic under various traffic assumptions shows that their context-aware scheduler can support three times the load of proportional fair scheduling, at equal capacity and utility.