Adaptive power control and MMSE interference suppression
Wireless Networks
QoS-based resource allocation and transceiver optimization
Communications and Information Theory
Resource Allocation in Wireless Networks: Theory and Algorithms (Lecture Notes in Computer Science)
Resource Allocation in Wireless Networks: Theory and Algorithms (Lecture Notes in Computer Science)
The Structure of General Interference Functions and Applications
IEEE Transactions on Information Theory
A framework for uplink power control in cellular radio systems
IEEE Journal on Selected Areas in Communications
| Hi-index | 0.00 |
We utilize axiomatic bargaining theory to depict certain implications of continuity properties of resource allocation strategies in wireless systems. Feasible utility sets are characterized as sub-level sets of interference functions. The collective choice function is used to represent resource allocation strategies. We use an axiomatic framework to emulate certain desirable properties of resource allocation strategies. We focus on the axiom of feasible set continuity, to emulate robustness of the resource allocation strategy to channel estimation and prediction errors. The connection between the axiom of feasible set continuity, lower semi-continuity and upper semi-continuity is elucidated. We investigate continuity properties, which allow a resource allocation strategy to be a strict monotone path collective choice function (MPCCF). We provide a result, which displays the practical importance of the axiom of feasible set continuity to develop bounds on the uncertainty region, resulting from channel estimation and prediction errors. We provide examples to show that the strict MPCCF is a useful tool to characterize solution outcomes of resource allocation strategies, e.g. egalitarian solution and dictatorial solution.