A distributed overload control framework for revenue maximization in wireless switches

Wireless networks are currently experiencing more overload situations than the wireline networks for many rea- sons including explosive mobile traffic growth, unpredictable behaviors of mobile traffic, service differentiated traffic shedding, etc. Even though extensive research work on network overload control in general is going on, the economic aspect of the overload problem has received very little attention. Managing the incoming traffic in a way such that the wireless networks can generate the maximum possible revenue under overload situations warrants special attention. In this paper, we study a realistic wireless switch overload model where message exchange and message discarding at multiple nodes are considered. We propose a distributed overload control framework to obtain optimal revenue while maintaining the switch's capability to handle call attempts during overload situation. The distributed overload control is achieved by ex- changing overload information among the nodes such that the nodes can have global view of the switch-wide overload situation and its impact on revenue, thereby adjusting their own traffic shedding to improve the revenue generation.