Adaptive power control and MMSE interference suppression
Wireless Networks
Fundamentals of wireless communication
Fundamentals of wireless communication
QoS-based resource allocation and transceiver optimization
Communications and Information Theory
Nash bargaining and proportional fairness for wireless systems
IEEE/ACM Transactions on Networking (TON)
IEEE Transactions on Wireless Communications
Hard Fairness Versus Proportional Fairness in Wireless Communications: The Single-Cell Case
IEEE Transactions on Information Theory
IEEE Journal on Selected Areas in Communications
A framework for uplink power control in cellular radio systems
IEEE Journal on Selected Areas in Communications
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The paper revisits the problem of proportional fairness in interference coupled wireless systems. It models interference coupling in wireless systems based on an interference function framework through a set of axioms (introduced by Yates in 1995). It utilizes the collective choice function to represent resource allocation strategies and an axiomatic framework to emulate certain desirable properties of resource allocation strategies. We introduce the axiom of equal priority in the power domain (and in the interference domain) and motivate it as interference coordination fairness. We consider this as an anonymity among the users, from the perspective of a central controller, e.g. a base station or an operator. We show that the proportional fair resource allocation strategy is anonymous to the identity of the users at the signal processing layer. Such an anonymity is relevant to obtain interference coordination fairness in iterative resource allocation strategies frequently encountered in wireless systems.