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Mar 13, 2020Open    Access

Contribution of Deep Learning Algorithm to Improve Channel Estimation Performance

Lassaad Smirani
In this article, we applied Deep Learning on LTE-A uplink channel estimation system. The work involved creating of two SC-FDMA databases for training and for test, based on three types of channel propagation models. The first section of this work consists of applying an Artificial Neural Network to estimate the channel of SC-FDMA link. Neural Network training is an iterative process which consists on adapting the values of its parameters: weights and bias. After training, the Neural Network was ...
Open Access Library J.   Vol.7, 2020
Doi:10.4236/oalib.1106150


Jun 26, 2018Open    Access

Overview of CoMP Clustering in UDN

Qianqian Li, Yanping Xu, Xinji Tian
System throughput and resource utilization can be improved in ultra-dense networks (UDN) by deploying a large number of small base stations. However, base stations are very close in UDN, which will cause serious interference between base stations. To solve this problem, coordinated multi-point (CoMP) has been improved, which has the ability to reduce inter-cell interference and to improve data rate. How
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Open Access Library J.   Vol.5, 2018
Doi:10.4236/oalib.1104703


Jun 20, 2018Open    Access

Overview on Interference Management Technology for Ultra-Dense Network

Danqing Zhang, Xinji Tian
The explosive growth of the mobile traffic demand has triggered the investigation of 5th generation mobile networks (5G) for the future development of wireless communications. The ultra-dense network (UDN) has the ability to effectively improve system throughput and spectrum utilization by deploying a large number of low-power, low-cost, low-power home base stations or micro base stations. The
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Open Access Library J.   Vol.5, 2018
Doi:10.4236/oalib.1104675


Dec 30, 2014Open    Access

A Study on Abnormal Behaviour in Mobile Application

Naqliyah Bt Zainuddin, Mohd Faizal Bin Abdollah, Robiah Bt Yusof, Shahrin Bin Sahib
Abnormal application behavior in mobile can produce a number of undesirable effects. An incorrect or insufficient implementation of application lifecycle, memory related issues and malicious application might cause an unexpected behavior of the application such as bad usability, not responding, crashed and even data loss. Current analysis and detection of abnormal applications behavior are still not comprehensive enough where behavior under user visible failure category such as crash, “stopped u...
Open Access Library J.   Vol.1, 2014
Doi:10.4236/oalib.1101229


Sep 25, 2014Open    Access

Low-Complexity LDPC-Coded USTM Noncohereny MIMO Receivers

Li Peng, Lingling Yang
This paper proposes a scheme of combining low-density parity check (LDPC) code with unitary space time modulation (USTM) for noncoherent multiple-input-multiple-output (MIMO) transmitter and receiver over Rayleigh block fading and additive white Gaussian noise (AWGN) channel. The main aim is to design the low complexity coded noncoherent MIMO receiver which is completely dependent on the structural feature of unitary space-time matrix without sending the pilot symbol at the transmitter and estim...
Open Access Library J.   Vol.1, 2014
Doi:10.4236/oalib.1100550


Aug 06, 2014Open    Access

Performance Evaluation of Rotational Interleaver for IDMA Scheme in Acoustic Environment

Prachi Tripathi, Shivani Dixit, M. Shukla

The whole globe is covered universally by water with a majority space. In view of extraction of minerals as well as national security reasons, underwater communication has become quite important for all the mankind. Researchers, around the world are working for optimizing the multiple scheme in acoustic channel. Recently, the researchers have reported valuable employability of IDMA scheme in acoustic communica

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Open Access Library J.   Vol.1, 2014
Doi:10.4236/oalib.1100761


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