In cellular communication networks, quality of service (QoS) is defined as the ratio of the user’s signal level to the system noise plus other agents’ signal interference levels, and is commonly used to measure the performance of a mobile user over the network. In this paper, Nash equilibrium strategies, which minimize a linear combination of the system QoS and the transmitted power in code division multiple access networks, are found via an application of mean field game (MFG) control theory. Computational investigations of decentralized cellular network optimization via the application of nonlinear MFG control theory to this class of problem are presented for downlink and uplink scenarios with uniform and nonuniform agent population with respect to localized and nonlocalized interferences.
['Mohamad Redhwan Abd. Aziz', 'Peter E. Caines']
A Mean Field Game Computational Methodology for Decentralized Cellular Network Optimization