Optimal probabilistic allocation of customer types to servers
Proceedings of the 1995 ACM SIGMETRICS joint international conference on Measurement and modeling of computer systems
Wireless Networks - Special issue: mobile computing and networking: selected papers from MobiCom '96
Wireless Communications: Principles and Practice
Wireless Communications: Principles and Practice
The Asymptotic Workload Behavior of Two Coupled Queues
Queueing Systems: Theory and Applications
GloptiPoly: Global optimization over polynomials with Matlab and SeDuMi
ACM Transactions on Mathematical Software (TOMS)
Wireless data performance in multi-cell scenarios
Proceedings of the joint international conference on Measurement and modeling of computer systems
Proceedings of the 10th annual international conference on Mobile computing and networking
A semidefinite optimization approach to the steady-state analysis of queueing systems
Queueing Systems: Theory and Applications
Stability of Parallel Queueing Systems with Coupled Service Rates
Discrete Event Dynamic Systems
Stability of two interfering processors with load balancing
Proceedings of the 3rd International Conference on Performance Evaluation Methodologies and Tools
Distributed dynamic load balancing in wireless networks
ITC20'07 Proceedings of the 20th international teletraffic conference on Managing traffic performance in converged networks
Practical adaptive user association policies for wireless systems with dynamic interference
IEEE/ACM Transactions on Networking (TON)
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We study the impact of user association policies on flow-level performance in interference limited wireless networks. Most research in this area has used static interference models (neighboring base stations are always active) and resorted to intuitive objectives such as load balancing. In this paper, we show that this can be counterproductive in the presence of dynamic interference which couples the transmission rates to users at various base stations. We propose a methodology to optimize the performance of a class of coupled systems, and apply it to study the user association problem. We show that by properly inducing load asymmetries, substantial performance gains can be achieved relative to a load balancing policy (e.g., 15 times reduction in mean delay). Systematic simulations establish that our optimized static policy substantially outperforms various dynamic policies and that these results are robust to changes in file size distributions, channel parameters, and spatial load distributions.