Abstract—Wireless networks are currently experiencingmore overload situations than their wireline counterpartsbecause of explosive mobile traffic growth, unpredictabletraffic behavior, service differentiated traffic shedding, etc.Even though extensive research work on network overloadcontrol in general is going on, the economic aspect ofthe overload problem has received very little attention.Managing the incoming traffic in a way that generatesthe maximum possible revenue under overload warrantsspecial attention. In this paper, we study a realistic wirelessswitch overload model where message exchange and messagediscarding at multiple nodes are considered. We proposea distributed overload control framework considering differentservice types to obtain the optimal revenue whilemaintaining the switch’s capability to handle call attemptsduring overload situation. This is achieved by exchangingoverload information among the nodes that can have a globalview of the switch-wide overload situation and its impact onrevenue, and hence can adjust their own traffic sheddingto improve the revenue generation. Next, we extend theproposed framework to incorporate different call prioritiesand discuss the conditions for reaching the optimal revenuethat ensures preferential treatment to the high priorityservice types.

Index Terms—Distributed control framework, nonlinearoptimization, revenue maximization, Priority Services.

Cite: Haitao Lin, Preetam Ghosh, and Prabir Das, "Wireless Networks Revenue Optimization through Overload Control with Priority Services," Journal of Communications, vol. 1, no. 4, pp. 1-11, 2006.