Proposed ITU-R Compatible Inter-Site and Inter-Sector Interference Models for LTE-Advanced Networks

2020 ◽  
pp. 1-1
Author(s):  
Araz Sabir Ameen ◽  
Angela Doufexi ◽  
Andrew Nix
Keyword(s):  
Lte Advanced ◽  
Interference Models

Performance Evaluation of LTE-Advanced Heterogeneous Network Deployment Using Carrier Aggregation between Macro and Small Cells

2013 ◽  
Vol E96.B (6) ◽  
pp. 1297-1305
Author(s):  
Takahiro TAKIGUCHI ◽  
Kohei KIYOSHIMA ◽  
Yuta SAGAE ◽  
Kengo YAGYU ◽  
Hiroyuki ATARASHI ◽  
...  
Keyword(s):  
Performance Evaluation ◽  
Heterogeneous Network ◽  
Small Cells ◽  
Carrier Aggregation ◽  
Lte Advanced

Experiments on Asymmetric Carrier Aggregation Associated with Control Signaling Reception Quality in LTE-Advanced

2013 ◽  
Vol E96.A (11) ◽  
pp. 2106-2113
Author(s):  
Keisuke SAITO ◽  
Yuichi KAKISHIMA ◽  
Teruo KAWAMURA ◽  
Yoshihisa KISHIYAMA ◽  
Hidekazu TAOKA ◽  
...  
Keyword(s):  
Carrier Aggregation ◽  
Lte Advanced

scholarly journals Interference Cancellation Based Spectrum Sharing for Massive MIMO Communication Systems

Sensors ◽  
2021 ◽  
Vol 21 (11) ◽  
pp. 3584
Author(s):  
Milembolo Miantezila Junior ◽  
Bin Guo ◽  
Chenjie Zhang ◽  
Xuemei Bai
Keyword(s):  
Interference Cancellation ◽  
Communication Systems ◽  
Spectrum Sharing ◽  
Null Space ◽  
Base Station ◽  
Base Stations ◽  
Small Cells ◽  
Data Traffic ◽  
New Approach ◽  
Lte Advanced

Cellular network operators are predicting an increase in space of more than 200 percent to carry the move and tremendous increase of total users in data traffic. The growing of investments in infrastructure such as a large number of small cells, particularly the technologies such as LTE-Advanced and 6G Technology, can assist in mitigating this challenge moderately. In this paper, we suggest a projection study in spectrum sharing of radar multi-input and multi-output, and mobile LTE multi-input multi-output communication systems near m base stations (BS). The radar multi-input multi-output and mobile LTE communication systems split different interference channels. The new approach based on radar projection signal detection has been proposed for free interference disturbance channel with radar multi-input multi-output and mobile LTE multi-input multi-output by using a new proposed interference cancellation algorithm. We chose the channel of interference with the best free channel, and the detected signal of radar was projected to null space. The goal is to remove all interferences from the radar multi-input multi-output and to cancel any disturbance sources from a chosen mobile Communication Base Station. The experimental results showed that the new approach performs very well and can optimize Spectrum Access.

Pedigree Data Analysis With Crossover Interference

Genetics ◽  
2003 ◽  
Vol 164 (4) ◽  
pp. 1561-1566
Author(s):  
Sharon Browning
Keyword(s):  
Data Analysis ◽  
Linkage Analysis ◽  
Importance Sampling ◽  
Genetic Data ◽  
Genotype Data ◽  
Pedigree Data ◽  
Chi Square ◽  
Crossover Interference ◽  
Map Construction ◽  
Interference Models

AbstractWe propose a new method for calculating probabilities for pedigree genetic data that incorporates crossover interference using the chi-square models. Applications include relationship inference, genetic map construction, and linkage analysis. The method is based on importance sampling of unobserved inheritance patterns conditional on the observed genotype data and takes advantage of fast algorithms for no-interference models while using reweighting to allow for interference. We show that the method is effective for arbitrarily many markers with small pedigrees.

scholarly journals Statistical Analysis of Ordered Tetrads

Genetics ◽  
1998 ◽  
Vol 150 (1) ◽  
pp. 459-472 ◽  
Author(s):  
Hongyu Zhao ◽  
Terence P Speed
Keyword(s):  
Statistical Analysis ◽  
Genetic Markers ◽  
Chi Square ◽  
Yield Information ◽  
Data Yield ◽  
Interference Models ◽  
Chiasma Interference

Abstract Ordered tetrad data yield information on chromatid interference, chiasma interference, and centromere locations. In this article, we show that the assumption of no chromatid interference imposes certain constraints on multilocus ordered tetrad probabilities. Assuming no chromatid interference, these constraints can be used to order markers under general chiasma processes. We also derive multilocus tetrad probabilities under a class of chiasma interference models, the chi-square models. Finally, we compare centromere map functions under the chi-square models with map functions proposed in the literature. Results in this article can be applied to order genetic markers and map centromeres using multilocus ordered tetrad data.

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