This file was created by the TYPO3 extension bib --- Timezone: UTC Creation date: 2025-01-14 Creation time: 15-20-19 --- Number of references 2 conference EW2013_parruca_gross 2013 8 In this paper we consider the design of semi-static inter-cell interference coordination schemes for LTE networks. In this approach, base stations coordinate the power settings per resource block over long time spans such as seconds. In order to optimize the power settings, one needs to employ models which predict the rate of terminals over the next coordination period under the usage of a given power setting. However, these models are typically quite simple and neglect the impact from fading as well as from dynamic resource allocation performed at the base stations on a millisecond basis. Ignoring such properties of OFDMA networks leads therefore to suboptimal transmit power settings. In this paper, we study the impact from a precise rate prediction model that accurately accounts for fading and dynamic resource allocation. On the down-side, this more precise model leads to a much more involved optimization problem to be solved once per coordination period. We propose two different heuristic methods to deal with this problem. Especially the usage of genetic algorithm results to be promising to counteract the complexity increase. We then study the overall system performance and find precise rate prediction models to be essential for semi-static interference coordination as they provide significant performance improvements in comparison to approaches with simpler models. ICIC, proportional fair scheduling, power mask, resource block, scheduling, dynamic scheduling, inter cell interference coordination, LTE, OFDMA, WiMAX https://www.comsys.rwth-aachen.de/fileadmin/papers/2013/2013_ICIC_parruca_grysla_gross.pdf http://www.vde-verlag.de/proceedings-en/563498043.html vde-verlag vde-verlag

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Proceedings: European Wireless 2013 Guildford, UK 2013 - 19th European Wireless Conference 04/16/2012 - 04/18/2013 English DonaldParruca MariusGrysla PetriMähönen MarinaPetrova HanZhou FarshadNaghibi JamesGross inproceedings 2010-kunz-mascots-horizon 2010 8 18 172-181 The simulation models of wireless networks rapidly increase in complexity to accurately model wireless channel characteristics and the properties of advanced transmission technologies. Such detailed models typically lead to a high computational load per simulation event that accumulates to extensive simulation runtimes. Reducing runtimes through parallelization is challenging since it depends on detecting causally independent events that can execute concurrently. Most existing approaches base this detection on lookaheads derived from channel propagation latency or protocol characteristics. In wireless networks, these lookaheads are typically short, causing the potential for parallelization and the achievable speedup to remain small. This paper presents Horizon, which unlocks a substantial portion of a simulation model's workload for parallelization by going beyond the traditional lookahead. We show how to augment discrete events with durations to identify a much larger horizon of independent simulation events and efficiently schedule them on multi-core systems. Our evaluation shows that this approach can significantly cut down the runtime of simulations, in particular for complex and accurate models of wireless networks. horizon fileadmin/papers/2010/2010-kunz-mascots-horizon.pdf Online IEEE Computer Society

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Proceedings of the 18th Annual Meeting of the IEEE/ACM International Symposium on Modeling, Analysis and Simulation of Computer and Telecommunication Systems (MASCOTS'10), Miami, FL, USA Miami, FL, USA 18th Annual Meeting of the IEEE/ACM International Symposium on Modeling, Analysis and Simulation of Computer and Telecommunication Systems (MASCOTS'10) August 17-19, 2010 en 978-0-7695-4197-6 1526-7539 10.1109/MASCOTS.2010.26 1 GeorgKunz OlafLandsiedel JamesGross StefanGötz FarshadNaghibi KlausWehrle