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On the interplay between scheduling, user distribution, CSI, and performance measures in cellular downlink
KTH, School of Electrical Engineering (EES), Signal Processing.
KTH, School of Electrical Engineering (EES), Signal Processing.ORCID iD: 0000-0002-3599-5584
KTH, School of Electrical Engineering (EES), Signal Processing.ORCID iD: 0000-0003-2298-6774
2006 (English)In: European Signal Processing Conference, 2006Conference paper (Refereed)
Abstract [en]

The cross-layer design of future communication systems jointly optimizes multiple network layers with the goal of boosting the system wide performance. This trend brings together the physical and the medium access layers. For the joint optimization of these two lowest layers, it is necessary to understand and relate their terms and concepts. In this paper, we study the interplay between four terms, namely channel state information from link-level, scheduling and user distribution from system level, and different performance measures from both levels. The envisaged scenario is the cellular downlink transmission. The average sum rate describes the long-term performance from a system perspective. The optimal scheduling policy as well as the impact of the user distribution can be clearly characterized as a function of the channel state information (CSI). In contrast, the short-term system performance which is described by the outage sum rate, shows a varying behavior in terms of the optimal scheduling policy and as a function of the user distribution. The analysis is performed by employing Majorization theory for comparing different user distributions. Three different CSI scenarios, namely the uninformed base, the perfectly informed base, and the base with covariance knowledge are studied. Finally, the extension to two less well known performance measures, the maximum throughput and the delay-limited sum rate is addressed.

Place, publisher, year, edition, pages
, European Signal Processing Conference, ISSN 2219-5491
Keyword [en]
Cross-layer design, Downlink transmissions, Joint optimization, Long term performance, Majorization theory, Maximum through-put, Medium access layer, Multiple networks, Optimal scheduling, Performance measure, Sum-rate, System levels, Channel state information, Communication systems, Network layers, Optimization, Scheduling, Communication channels (information theory)
National Category
Signal Processing
URN: urn:nbn:se:kth:diva-155032ScopusID: 2-s2.0-84862630273OAI: diva2:759529
14th European Signal Processing Conference, EUSIPCO 2006, 4 September 2006 through 8 September 2006, Florence

QC 20141030

Available from: 2014-10-30 Created: 2014-10-29 Last updated: 2014-10-30Bibliographically approved

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