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Dynamic Profit Maximization of Cognitive Mobile Virtual Network Operator
March 2014 (vol. 13 no. 3)
pp. 526-540
Shuqin Li, Alcatel-Lucent Shanghai Bell Co., Ltd., Shanghai
Jianwei Huang, The Chinese University of Hong Kong, Hong Kong
Shuo-Yen Robert Li, The Chinese University of Hong Kong, Hong Kong
We study the profit maximization problem of a cognitive virtual network operator in a dynamic network environment. We consider a downlink OFDM communication system with various network dynamics, including dynamic user demands, uncertain sensing spectrum resources, dynamic spectrum prices, and time-varying channel conditions. In addition, heterogeneous users and imperfect sensing technology are incorporated to make the network model more realistic. By exploring the special structural of the problem, we develop a low-complexity online control policies that determine pricing and resource scheduling without knowing the statistics of dynamic network parameters. We show that the proposed algorithms can achieve arbitrarily close to the optimal profit with a proper tradeoff with the queuing delay.
Index Terms:
Sensors,Cognitive radio,Wireless sensor networks,Base stations,Resource management,Mobile computing,virtual network operator,Cognitive radio,profit maximization,pricing
Shuqin Li, Jianwei Huang, Shuo-Yen Robert Li, "Dynamic Profit Maximization of Cognitive Mobile Virtual Network Operator," IEEE Transactions on Mobile Computing, vol. 13, no. 3, pp. 526-540, March 2014, doi:10.1109/TMC.2013.10
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