Cross-layer QoS management in scheduled multi-user systems

Benno Zerlin; Josef A. Nossek

doi:10.1109/SPAWC.2005.1506079

Cross-layer QoS management in scheduled multi-user systems

Benno Zerlin, Josef A. Nossek

Chair of Circuit Theory and Signal Processing (2008 — 2021)

Technical University of Munich

Research output: Contribution to conference › Paper › peer-review

3 Scopus citations

Abstract

Through the joint optimization of physical (PHY) and media access control (MAC) layer instances, the transmit power, that is necessary to serve given user requirements on throughput and delay, can be minimized. This article shows, how top-down cross-layer optimization can be extended to scheduled multi-user systems, by formulating analytical expressions for the relevant quality of service (QoS) parameters in systems with round robin (RRS), maximum throughput (MTS), and proportional fair scheduling (PFS). Based on this stochastic description, the power optimal mode of operation and the minimum transmit powers can be determined providing low complexity means for QoS management, that can be employed to maximize the system capacity.

Original language	English
Pages	520-524
Number of pages	5
DOIs	https://doi.org/10.1109/SPAWC.2005.1506079
State	Published - 2005
Event	2005 IEEE 6th Workshop on Signal Processing Advances in Wireless Communications, SPAWC 2005 - New York, NY, United States Duration: 5 Jun 2005 → 8 Jun 2005

Conference

Conference	2005 IEEE 6th Workshop on Signal Processing Advances in Wireless Communications, SPAWC 2005
Country/Territory	United States
City	New York, NY
Period	5/06/05 → 8/06/05

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10.1109/SPAWC.2005.1506079

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AB - Through the joint optimization of physical (PHY) and media access control (MAC) layer instances, the transmit power, that is necessary to serve given user requirements on throughput and delay, can be minimized. This article shows, how top-down cross-layer optimization can be extended to scheduled multi-user systems, by formulating analytical expressions for the relevant quality of service (QoS) parameters in systems with round robin (RRS), maximum throughput (MTS), and proportional fair scheduling (PFS). Based on this stochastic description, the power optimal mode of operation and the minimum transmit powers can be determined providing low complexity means for QoS management, that can be employed to maximize the system capacity.

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ER -

Cross-layer QoS management in scheduled multi-user systems

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