Algorithms for clustering data
Algorithms for clustering data
Wireless Communications: Principles and Practice
Wireless Communications: Principles and Practice
The Asymptotic Workload Behavior of Two Coupled Queues
Queueing Systems: Theory and Applications
Dynamic Global Packet Routing in Wireless Networks
INFOCOM '97 Proceedings of the INFOCOM '97. Sixteenth Annual Joint Conference of the IEEE Computer and Communications Societies. Driving the Information Revolution
Stability of Parallel Queueing Systems with Coupled Service Rates
Discrete Event Dynamic Systems
Distributed dynamic load balancing in wireless networks
ITC20'07 Proceedings of the 20th international teletraffic conference on Managing traffic performance in converged networks
Quasi-static resource allocation with interference avoidance for fixed wireless systems
IEEE Journal on Selected Areas in Communications
Dynamic allocation of downlink and uplink resource for broadband services in fixed wireless networks
IEEE Journal on Selected Areas in Communications
Distributed α-optimal user association and cell load balancing in wireless networks
IEEE/ACM Transactions on Networking (TON)
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This paper presents a system-level approach to interference management in an infrastructure-based wireless network with full frequency reuse. The key idea is to use loose base-station coordination that is tailored to the spatial load distribution and the propagation environment to exploit the diversity in a user population's sensitivity to interference. System architecture and abstractions to enable such coordination are developed for both the downlink and the uplink cases, which present differing interference characteristics. The basis for the approach is clustering and aggregation of traffic loads into classes of users with similar interference sensitivities that enable coarse-grained information exchange among base stations with greatly reduced communication overheads. This paper explores ways to model and optimize the system under dynamic traffic loads where users come and go, resulting in interference-induced performance coupling across base stations. Based on extensive system-level simulations, we demonstrate load-dependent reductions in file transfer delay ranging from 20%-80% as compared to a simple baseline not unlike systems used in the field today while simultaneously providing more uniform coverage. Average savings in user power consumption of up to 75% is achieved. Performance results under heterogeneous spatial loads illustrate the importance of being traffic-and environment-aware.