Integrated power and handoff control for next generation wireless networks

Authors:
Mehmet Akar
Affiliations:
Department of Electrical and Electronic Engineering, Boğaziçi University, Istanbul, Turkey 34342
Venue:
Wireless Networks
Year:
2009

Citing 12
Cited 0

Optimal scheduling of handoffs in cellular networks

IEEE/ACM Transactions on Networking (TON)
Principles of Mobile Communication

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Dynamic Programming and Optimal Control

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CDMA soft handoff analysis in the presence of power control error and shadowing correlation

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Forward-link soft-handoff in CDMA with multiple-antenna selection and fast joint power control

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Soft handoff algorithms for CDMA cellular networks

IEEE Transactions on Wireless Communications
On the impact of the soft handoff threshold and the maximum size of the active group on resource allocation and outage probability in the UMTS system

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Performance analysis of soft handoff in CDMA cellular networks

IEEE Journal on Selected Areas in Communications
SSDT-site selection diversity transmission power control for CDMA forward link

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Variations on optimal and suboptimal handoff control for wireless communication systems

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

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Abstract

In this paper, joint downlink power control and handoff design is formulated as optimization problems that are amenable to dynamic programming (DP). Based on the DP solutions which are impractical, two new algorithms suitable for next generation wireless networks are proposed. The first one is an integrated hard handoff/power control scheme that endeavors a tradeoff between three performance criteria: transmitted power, number of handoffs, and call quality. The second is a soft handoff/power control algorithm that also takes into account the additional cost of utilizing soft handoff. The proposed algorithms present a paradigm shift in integrated handoff/power control by capturing the tradeoff between user satisfaction and network overhead, therefore enjoy the advantages of joint resource allocation, and provide significant improvement over existing methods. The achievable gains and the tradeoffs in both algorithms are verified through simulations.