This file was created by the TYPO3 extension bib --- Timezone: CEST Creation date: 2024-07-03 Creation time: 21-36-02 --- Number of references 2 conference VTC2013_parruca_gross 2013 9 Various system tasks like interference coordination, handover decisions, admission control etc. in upcoming cellular networks require precise mid-term (spanning over a few seconds) performance models. Due to channel-dependent scheduling at the base station, these performance models are not simple to obtain. Furthermore, upcoming cellular systems will be interference-limited, hence, the way interference is modeled is crucial for the accuracy. In this paper we present an analytical model for the SINR distribution of the scheduled subcarriers of an OFDMA system with proportional fair scheduling. The model takes the precise SINR distribution into account. We furthermore refine our model with respect to uniform modulation and coding, as applied in LTE networks. The derived models are validated by means of simulations. In additon, we show that our models are approximate estimators for the performance of rate-based proportional fair scheduling, while they outperform some simpler prediction models from related work significantly. https://www.comsys.rwth-aachen.de/fileadmin/papers/2013/2013_VTC_parruca.pdf Proceedings of IEE Vehicular Telecommunications Conference (VTC-Fall 2013) Las Vegas, USA 2013 IEEE 78th Vehicular Technology Conference 2-5, September, 2013 DonaldParruca MariusGrysla SimonGörtzen JamesGross 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