scholarly journals Performance evaluation of video streaming on LTE with coexistence of Wi-Fi signal

2019 ◽  
Vol 8 (3) ◽  
pp. 890-897
Author(s):  
Y. J. I. A. Yaqoob ◽  
W. L. Pang ◽  
S. K. Wong ◽  
K. Y. Chan
Keyword(s):  
Video Streaming ◽  
Network Performance ◽  
Software Radio ◽  
Radio Spectrum ◽  
Application Framework ◽  
Data Traffic ◽  
Continuous Growth ◽  
Lte Network ◽  
The Impact ◽  
Unlicensed Band

The continuous growth in mobile data traffic and limited license wireless spectrum have led to dramatically increase the demand of the radio spectrum. It is widespread the concern about the coexistence of long term evolution (LTE) and Wi-Fi in the unlicensed band. There are several techniques have been proposed to enable the coexistence of LTE and Wi-Fi in the unlicensed band, but these works are targeted on the impact of the LTE to the Wi-Fi network performance. An experiment is carried out in this work to evaluate the impact of Wi-Fi signal on the video streaming in the LTE network. The experimental test comprised of the national instrument (NI) universal software radio peripheral (USRP) 2953R that is controlled by the LabVIEW Communication LTE application framework. Extensiveexperiments are carried out under two scenarios, i.e. (1) Coexistence of LTE and Wi-Fi signal, (2) LTE signal only. Performance evaluations are carried out with different Modulation and coding schemes (MCS) values and different mode of operations, i.e. frequency division duplex (FDD) and time division duplex (TDD) mode. The results illustrated that the interference from Wi-Fi signal caused the performance degradation of the LTE network in throughput and the power received by user equipment (UE).

scholarly journals Planning of LTE-Apro Network using Licensed Assisted Access combining Spectrum Licensed 1800MHz and Unlicensed 5GHz

2019 ◽  
Vol 1 (2) ◽  
pp. 123-132
Author(s):  
Arif Mubarok ◽  
Uke Kurniawan Usman ◽  
Galih Purnomo Fitrianto
Keyword(s):  
Network Performance ◽  
Service Providers ◽  
Network Planning ◽  
Data Traffic ◽  
Unlicensed Spectrum ◽  
Mimo Antenna ◽  
Lte Network ◽  
Wireless Service ◽  
Limited Spectrum ◽  
The City

 The number of activities in the room results in an increase inthe amount of traffic which means a large surge in cellular users. Aslarge data traffic increases, limited spectrum is available and highspectrum costs, wireless service providers respond by makingadjustments to LTE technology. With the presence of LTE-APsupported by an unlicensed spectrum, Telkomsel operators can enjoythe unlicensed spectrum to increase capacity and throughput.Cellular network planning uses 2 scenarios to get the best solution,Scenario 1 is planning the LTE Network with a bandwidth of 20 MHz inband 3 and using a 4x4 MIMO antenna. , scenario 2 planning the LTEAdvancedPro network uses the LAA method by combining theunlicensed 20 MHz spectrum in band 36 and a licensed 20 MHzsprectrum in band 3 and using a 2x2 MIMO antenna. analysis andsimulation using U-Net V500 software.The results of the LTE network planning simulation obtained theaverage value of RSRP 77 -77.71 dBm, SINR ≥  11.88 dB, Throughput≥  37.079 Mbps and User connected = 98.00%, while the LTE-APaverage value of RSRP ≥  -73.51 dBm, SINR ≥  17.02 dB , Throughput ≥ 49,739 Mbps and User connected = 100.00%. Based on the simulationresults, the LTE-AP network planning is very good to be implementedin the city of Bandung, the best solution choice to overcome thelimitations of Telkomsel spectrum with the network performance that isvery good in terms of coverage and capacity.

scholarly journals Femtocell Number Influence to SINR and Throughput on Coexistence GSM and LTE Network

2020 ◽  
Vol 17 (2) ◽  
pp. 145
Author(s):  
Muhammad Yaser
Keyword(s):  
Radio Frequency ◽  
Orthogonal Frequency Division Multiplexing ◽  
Network Performance ◽  
Frequency Division Multiplexing ◽  
Frequency Division ◽  
Throughput Performance ◽  
Lte Network ◽  
Femtocell Network ◽  
Gsm Network ◽  
The Impact

<p><em>Coexistence GSM network and LTE femto relies on the number of femtocell deployment position. In the earlier study, the impact of macrocell size, femtocell deployment position, and coexistence LTE femtocell network integrated with GSM macrocell had been discussed. LTE femtocell used Orthogonal Frequency Division Multiplexing (OFDM) technology for its operation. In coexistence networks, LTE femtocells operate with OFDM technology so that they can utilize several radio frequency fractions without disturbing other parts of the frequency located between them. Unfortunately, the impact of femtocell number on the coexistence network had not been discussed. SINR and femtocell throughput performance are mathematically analyzed. The result showed that femtocell number had an effect on the coexistence network performance. SINR GSM, SINR femtocell and femtocell throughput significantly degraded as the femtocell number increased. The increasing femtocell number from M =0 to M =20 on each GSM cell cause around 14 dB degradation in SINR GSM, 3 dB decline in SINR Femto, approximately 1.7% decline in throughput for K = 4. Meanwhile for K = 7, the increasing femtocell number cause 17 dB decline in SINR GSM 6,5 dB decline in SINR Femto and 3.2 % decline in throughput. Those happened since the LTE femtocell interference went up. So femtocell number greatly influences the Coexistence GSM Network and LTE femtocell.</em></p><p><em><br /></em></p><p><em>Jaringan koeksistensi GSM dan LTE Femto sangat tergantung pada kondisi sebaran femtocell, di</em><em> </em><em>antaranya jumlah femtocell. Pada studi sebelumnya telah dibahas mengenai pengaruh ukuran macrocell dan posisi penyebaran femtocell dan jaringan koeksistensi LTE femtocell yang diintegrasikan dengan GSM macrocell. Dalam jaringan koeksistensi, LTE femtocell beroperasi dengan teknologi Orthogonal Frequency Division Multiplexing (OFDM) sehingga dapat memanfaatkan beberapa fraksi frekuensi radio tanpa mengganggu bagian lain dari frekuensi yang terletak di antaranya Namun studi sebelumnya belum membahas pengaruh jumlah femtocell pada jaringan koeksistensi ini. Kinerja kedua sistem yang dalam hal ini SINR dan femtocell throughput dianalisis secara matematis. Hasil simulasi menunjukan bahwa jumlah femtocell memiliki efek pada kinerja jaringan koeksistensi. SINR GSM, SINR femtocell dan femtocell throughput semakin menurun seiring dengan peningkatan jumlah femtocell</em><em>.</em><em> Peningkatan jumlah femtocell dari M = 0 ke M = 20 pada setiap sel GSM menyebabkan penurunan sekitar 14</em><em> </em><em>dB SINR GSM, penurunan 3</em><em> </em><em>dB SINR Femto, sekitar1, 7% penurunan throughput untuk K = 4. Sementara itu untuk K = 7, peningkatan junlah femtocell menyebabkan penurunan 17</em><em> </em><em>dB SINR GSM, penurunan 6.5</em><em> </em><em>dB SINR Femtocell dan penurunan 3, 2% dalam throughput. Hal ini disebabkan oleh peningkatan interferensi dari LTE femtocell. Maka jumlah LTE femtocell sangat mempengaruhi sistem koeksistensi LTE femtocell dengan jaringan GSM</em><em>.</em><em></em></p><p><em><br /></em></p>

Spectrum sharing metrics

Info ◽  
2014 ◽  
Vol 16 (5) ◽  
pp. 19-31 ◽  
Author(s):  
Jan Kruys ◽  
Peter Anker ◽  
Roel Schiphorst
Keyword(s):  
Wireless Network ◽  
Spectrum Sharing ◽  
Network Performance ◽  
Radio Spectrum ◽  
Spectrum Management ◽  
Utilization Efficiency ◽  
Spectrum Utilization ◽  
Content Type ◽  
Technical Parameters ◽  
The Impact

Purpose – The purpose of this paper is to propose technology-independent metrics for measuring spectrum utilization efficiency and spectrum sharing which could prove useful in spectrum management. Radio spectrum is considered a scarce resource. The rapid rise in all kinds of wireless devices emphasizes the need for spectrum usage efficiency and spectrum sharing. Notably in license exempt spectrum, the increased density of radio devices requires new methods of evaluating their performance. Design/methodology/approach – The authors go back to the fundamentals of spectrum utilization and show that under high usage conditions, wireless network performance is interference limited. The impact of interference depends both on the environment and on the type of modulation used. The authors use these factors to derive the above metrics. Findings – The main findings of this work are metrics for spectrum utilization and sharing that are technology-independent and therefore widely applicable, notably to license exempt spectrum. These metrics provide increased visibility of receiver performance in determining spectrum use. The authors also find that the capacity of a wireless network is for all practical purposes unlimited – provided the appropriate choices of the technical parameters are made, recognizing the impact of the propagation environment. Research limitations/implications – Because the authors proceed from simplifying assumptions, detailed analysis and prediction of spectrum-sharing cases may require additional parameters to be added to the equations given. Practical implications – The results of this work have potential application in spectrum management and in the development of regulatory requirements for license exempt spectrum. Originality/value – New in this paper is the derivation of spectrum utilization and sharing metrics from first principles that allow different technologies to be compared. The authors also show that, given the right choice of technical parameters, the capacity of wireless networks is practically unlimited.

European Economies Stability Faced With Potential Outburst of Sovereign Debt Crisis. An Empirical Study Using Neural Network

2013 ◽  
Vol 12 (2) ◽  
pp. 3255-3260
Author(s):  
Stelian Stancu ◽  
Alexandra Maria Constantin
Keyword(s):  
Neural Network ◽  
Sovereign Debt ◽  
Debt Crisis ◽  
Banking System ◽  
Sovereign Debt Crisis ◽  
European Level ◽  
Continuous Growth ◽  
Economic Context ◽  
European Economies ◽  
The Impact

Instilment, on a European level, of a state incompatible with the state of stability on a macroeconomic level and in the financial-banking system lead to continuous growth of vulnerability of European economies, situated at the verge of an outburst of sovereign debt crises. In this context, the current papers main objective is to produce a study regarding the vulnerability of European economies faced with potential outburst of sovereign debt crisis, which implies quantitative analysis of the impact of sovereign debt on the sensitivity of the European Unions economies. The paper also entails the following specific objectives: completing an introduction in the current European economic context, conceptualization of the notion of “sovereign debt crisis, presenting the methodology and obtained empirical results, as well as exposition of the conclusions.

scholarly journals HTPC: heterogeneous traffic-aware partition coding for random packet spraying in data center networks

2021 ◽  
Vol 10 (1) ◽  
Author(s):  
Jiawei Huang ◽  
Shiqi Wang ◽  
Shuping Li ◽  
Shaojun Zou ◽  
Jinbin Hu ◽  
...  
Keyword(s):  
Data Center ◽  
Large Scale ◽  
Network Performance ◽  
Rooted Tree ◽  
Heterogeneous Traffic ◽  
Data Center Networks ◽  
Packet Reordering ◽  
Traffic Characteristics ◽  
Network Utilization ◽  
The Impact

AbstractModern data center networks typically adopt multi-rooted tree topologies such leaf-spine and fat-tree to provide high bisection bandwidth. Load balancing is critical to achieve low latency and high throughput. Although the per-packet schemes such as Random Packet Spraying (RPS) can achieve high network utilization and near-optimal tail latency in symmetric topologies, they are prone to cause significant packet reordering and degrade the network performance. Moreover, some coding-based schemes are proposed to alleviate the problem of packet reordering and loss. Unfortunately, these schemes ignore the traffic characteristics of data center network and cannot achieve good network performance. In this paper, we propose a Heterogeneous Traffic-aware Partition Coding named HTPC to eliminate the impact of packet reordering and improve the performance of short and long flows. HTPC smoothly adjusts the number of redundant packets based on the multi-path congestion information and the traffic characteristics so that the tailing probability of short flows and the timeout probability of long flows can be reduced. Through a series of large-scale NS2 simulations, we demonstrate that HTPC reduces average flow completion time by up to 60% compared with the state-of-the-art mechanisms.

scholarly journals Machine Learning for Communications

Entropy ◽  
2021 ◽  
Vol 23 (7) ◽  
pp. 831
Author(s):  
Vaneet Aggarwal
Keyword(s):  
Machine Learning ◽  
Augmented Reality ◽  
Video Streaming ◽  
Communication Networks ◽  
Data Analytics ◽  
Data Traffic ◽  
Traffic Demand ◽  
Performance Requirements

Due to the proliferation of applications and services that run over communication networks, ranging from video streaming and data analytics to robotics and augmented reality, tomorrow’s networks will be faced with increasing challenges resulting from the explosive growth of data traffic demand with significantly varying performance requirements [...]

scholarly journals Estimating PQoS of Video Streaming on Wi-Fi Networks Using Machine Learning

Sensors ◽  
2021 ◽  
Vol 21 (2) ◽  
pp. 621
Author(s):  
Maghsoud Morshedi ◽  
Josef Noll
Keyword(s):  
Machine Learning ◽  
Video Streaming ◽  
Network Performance ◽  
Service Providers ◽  
Perceived Quality ◽  
Internet Service Providers ◽  
Performance Parameters ◽  
Internet Service ◽  
Access Points

Video on demand (VoD) services such as YouTube have generated considerable volumes of Internet traffic in homes and buildings in recent years. While Internet service providers deploy fiber and recent wireless technologies such as 802.11ax to support high bandwidth requirement, the best-effort nature of 802.11 networks and variable wireless medium conditions hinder users from experiencing maximum quality during video streaming. Hence, Internet service providers (ISPs) have an interest in monitoring the perceived quality of service (PQoS) in customer premises in order to avoid customer dissatisfaction and churn. Since existing approaches for estimating PQoS or quality of experience (QoE) requires external measurement of generic network performance parameters, this paper presents a novel approach to estimate the PQoS of video streaming using only 802.11 specific network performance parameters collected from wireless access points. This study produced datasets comprising 802.11n/ac/ax specific network performance parameters labelled with PQoS in the form of mean opinion scores (MOS) to train machine learning algorithms. As a result, we achieved as many as 93–99% classification accuracy in estimating PQoS by monitoring only 802.11 parameters on off-the-shelf Wi-Fi access points. Furthermore, the 802.11 parameters used in the machine learning model were analyzed to identify the cause of quality degradation detected on the Wi-Fi networks. Finally, ISPs can utilize the results of this study to provide predictable and measurable wireless quality by implementing non-intrusive monitoring of customers’ perceived quality. In addition, this approach reduces customers’ privacy concerns while reducing the operational cost of analytics for ISPs.

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