Context-Aware Resource Allocation to Improve the Quality of Service of Heterogeneous Traffic
By supporting advanced multimedia applications and multitasking, recent Smartphone operation systems offer great functionality but make these devices even more difficult to serve. Now, network operators face a situation where many applications generate highly heterogeneous and bursty traffic patterns. To cope with this challenge, the authors introduce Context-Aware Resource Allocation (CARA). This new approach enables a scheduler to exploit new information from the users' environment, thereby, allocating its resources more efficiently. They describe CARA's high performance and feasibility by studying it as network utility optimization problem.