Distributed power control in femtocell-underlay cellular networks

Authors:
Vikram Chandrasekhar;Jeffrey G. Andrews;Zukang Shen;Tarik Muharemovic;Alan Gatherer
Affiliations:
Texas Instruments, Dallas, TX;The University of Texas at Austin;Datang Mobile Telecommunications Equipment Co. Ltd.;Texas Instruments, Dallas, TX;Texas Instruments, Dallas, TX
Venue:
GLOBECOM'09 Proceedings of the 28th IEEE conference on Global telecommunications
Year:
2009

Citing 8
Cited 1

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Femtocell networks: a survey

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An algorithm for combined cell-site selection and power control to maximize cellular spread spectrum capacity

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McPAO: A Distributed Multi-channel Power Allocation and Optimization Algorithm for Femtocells

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Abstract

In a two tier cellular network - comprised of a central macrocell underlaid with shorter range femtocell hotspots - cross-tier interference limits overall capacity with universal frequency reuse. To quantify near-far effects, this paper derives a fundamental relation providing the largest feasible cellular signal-to-interference plus noise ratio (SINR), given any set of feasible femtocell SINRs. A distributed utility-based SINR adaptation at femtocells is proposed in order to alleviate cross-tier interference at the macrocell. The Foschini-Miljanic (FM) algorithm is a special case of the adaptation. Each femtocell maximizes their individual utility consisting of a SINR based reward less an incurred cost (cross-tier interference). Results show greater than 30% improvement in mean femtocell SINRs relative to FM. An algorithm is proposed that adaptively curtails transmission powers of the strongest femtocell interferers. Simulations show that a cell-edge user can achieve its SINR target even with 100 femtocells/cell-site (with typical cellular parameters).