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This paper presents a stream selection based interference alignment approach with imperfect channel state information for heterogeneous networks. The proposed algorithm performs the selection of a stream sequence among a predetermined set of sequences. Those selected sequences are the ones that mostly contribute to the sum rate when performing the exhaustive search. These stream sequences form a regular...
In this paper, a stream selection based interference alignment method is presented for heterogeneous networks with limited feedback. The presented stream selection approach initially selects streams from the user of the pico cell, continuing with the strongest streams among the unselected streams that increase the sum rate while each user receives at least one stream. After the selection procedure,...
This paper proposes a stream selection algorithm to deal with the interference and increase the sum capacity in the context of heterogeneous networks where cells of different types coexist. Due to the different transmit powers between the macro and small cells, interference levels are also different. Since the small cells are densely deployed, fully connected interference network between small cells...
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...
In this article, interference that occurs in heterogeneous networks is studied and a new stream selection approach with an interference alignment solution is presented. In the proposed algorithm, stream selection starts with the streams that belongs to the pico cell users and continues to select the strongest streams that increase the total sum rate. The power of each stream with the precoding and...
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...
BackgroundVarious factors may affect the accuracy of hemoglobin (Hb) A1c measurements that are widely used to monitor glycemic control in diabetic patients. This study was aimed to compare the values of HbA1c obtained by two different methods, Roche Tina‐quant second and thirdgeneration HbA1c assays based on the turbidimetric inhibition immunoassay (TINIA), and high‐performance liquid chromatography...
In 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...
In this paper, indoor channel models for femtocells are examined and capacity performances are obtained. In order to evaluate the indoor channel models, the performance results are obtained employing the ray tracing based Wireless Insite model, the well known i.i.d model and the IEEE802.11n model. All the comparisons are shown for the single input single output (SISO) and the multiple input multiple...
In this paper, we present capacity performances of Femtocells considering different interference scenarios which are among femtocells and between femtocells and macrocell. The capacity performances are demonstrated for femtocells with both single and multiple transmit and receive antennas using Wireless Insite radio propagation software.1
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