Computational investigations of decentralized cellular network optimization via mean field control

In cellular communication networks Quality of Service (QoS) is defined as the ratio of (i) the user´s signal level to (ii) 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 (CDMA) networks, are found via an application of mean field control theory. Computational investigations of the decentralized cellular network optimization (CNO) problem via mean field control are presented for downlink and uplink scenarios with uniform and non-uniform agents among other cases.