Abstract-This paper tackles the NP-complete problem of programming for finding an initial solution and try various academic class scheduling (or timetabling
Abstract-This 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.
Abstract-This 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.
Bu bildiride, ev baz istasyonları için iç mekan kanal modelleri incelenmiş ve bu modellere göre kapasite analizleri yapılmıştır. İç mekan kanal modellerini kapasite degerlerini kullanarak analiz etmek amacıyla, ışın izleme model tabanlı Wireless Insite programıyla elde edilen sonuçlar, i.i.d model ile standart IEEE802.11n kanal modeliyle karşılaştırılmıştır. Bu karşılaştırmalar hem tek girdili tek çıktılı (SISO), hem de çok girdili çok çıktılı (MIMO) sistemler için de uygulanmıştır.
ÖZETÇEBu bildiride kablosuz hücresel aglar için farklı büyüklükteki hücreleri ele alarak sinyal karışım gürültü oranı (SINR) kriteri ile mesafe tabanlı hücre seçimi algoritmaları başarımı incelenmiştir. Başarım sonuçları, içerisinde makro baz istasyonu(makro hücre), küçük çaplı baz istasyonu (piko hücre) ve ev baz istasyonlarını (femto hücre) bulunduran, kullanıcıların hareket etmedigi varsayıldıgı bir simulasyon ortamında elde edilmiştir. Elde edilen sonuçların karşılaştırmaları, SINR degerleri açısından ve hücrelerdeki yüke göre gösterilmiştir. ABSTRACTIn this paper, the performance of signal to interference and noise ratio (SINR) and distance based cell selection algorithms for wireless systems are examined considering different cells. The performance results are obtained by assuming the users are not moving within a setup includes macrocell, picocell and femtocells. The comparisons of the obtained results are shown in terms of SINR and load in the cells.
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