Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection
Permanent URI for this collectionhttps://hdl.handle.net/11147/7148
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Conference Object Citation - Scopus: 3Improved Successive Stream Selection With Quantized Channel in Heterogeneous Networks(Institute of Electrical and Electronics Engineers Inc., 2015) Aycan, Esra; Özbek, Berna; Le Ruyet, DidierThis paper focuses on different distortion metrics in order to analyze the influence of the imperfect channel state information (CSI) on the improved successive stream selection algorithm that manages the interference in a heterogeneous network. The presented approach initially selects the streams from the user of the pico cell, continuing with the strongest streams among the remaining streams that increase the sum rate and satisfy the constraint that at least one stream is selected from each user. In order to reduce the interference, the channel matrices of the remaining streams are projected orthogonally to the virtual transmit and receive channels of the selected stream. The impact of the quantization distortion on the precoding and postcoding design is examined. The performance of two distortion metrics which are the Chordal distance and the Euclidean distance are compared for different number of quantization bits. The performance evaluations are obtained by considering different locations of small cells with respect to the macro cell.Conference Object Citation - WoS: 5Citation - Scopus: 3Hierarchical Successive Stream Selection for Heterogeneous Network Interference(Institute of Electrical and Electronics Engineers Inc., 2014) Aycan, Esra; Özbek, Berna; Le Ruyet, DidierThis paper presents a hierarchical stream selection approach to deal with the interference in a heterogeneous network where different cell types are coexisting with each other to increase the sum capacity. Due to the variety of the transmit powers between the macro and small cells, interference levels are different. The proposed solution hierarchically selects the strongest streams of each cell with a contribution to the sum rate, while constructing the streams via singular value decomposition (SVD). In order to reduce the interference, the channel matrices of the remaining streams are projected orthogonally to the virtual transmit channel and virtual receive channel of the selected stream. The performance evaluations are obtained by considering different locations of small cells with respect to the macro cell. It is shown that the proposed method can dynamically select more streams in heterogeneous networks and achieve higher data rates compared to the existing algorithms. © 2014 IEEE.Conference Object Citation - WoS: 26Citation - Scopus: 40Solving the Course Scheduling Problem Using Simulated Annealing(Institute of Electrical and Electronics Engineers Inc., 2009) Aycan, Esra; Ayav, TolgaThis paper tackles the NP-eomplete problem of academic class scheduling (or timetabling). The aim is to find a feasible timetable for the department of computer engineering in Izmir Institute of Technology. The approach focuses on simulated annealing. We compare the performance of various neighborhood searching algorithms based on so-called simple search, swapping, simple search-swapping and their combinations, taking into account the execution times and the final costs. The most satisfactory timetable is achieved with the combination of all these three algorithms. The results highlight the efficacy of the proposed scheme