Network Performance and Fault Analytics for LTE Wireless Service Providers

2017 ◽  
Author(s):  
Deepak Kakadia ◽  
Jin Yang ◽  
Alexander Gilgur
Keyword(s):  
Network Performance ◽  
Service Providers ◽  
Wireless Service

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 Estimating PQoS of Video Conferencing on Wi-Fi Networks Using Machine Learning

2021 ◽  
Vol 13 (3) ◽  
pp. 63
Author(s):  
Maghsoud Morshedi ◽  
Josef Noll
Keyword(s):  
Machine Learning ◽  
Network Performance ◽  
Service Providers ◽  
Video Conferencing ◽  
Machine Learning Algorithms ◽  
Performance Parameters ◽  
High Definition ◽  
Internet Service ◽  
Novel Approach ◽  
5 Ghz

Video conferencing services based on web real-time communication (WebRTC) protocol are growing in popularity among Internet users as multi-platform solutions enabling interactive communication from anywhere, especially during this pandemic era. Meanwhile, Internet service providers (ISPs) have deployed fiber links and customer premises equipment that operate according to recent 802.11ac/ax standards and promise users the ability to establish uninterrupted video conferencing calls with ultra-high-definition video and audio quality. However, the best-effort nature of 802.11 networks and the high variability of wireless medium conditions hinder users experiencing uninterrupted high-quality video conferencing. This paper presents a novel approach to estimate the perceived quality of service (PQoS) of video conferencing using only 802.11-specific network performance parameters collected from Wi-Fi access points (APs) on customer premises. This study produced datasets comprising 802.11-specific network performance parameters collected from off-the-shelf Wi-Fi APs operating at 802.11g/n/ac/ax standards on both 2.4 and 5 GHz frequency bands to train machine learning algorithms. In this way, we achieved classification accuracies of 92–98% in estimating the level of PQoS of video conferencing services on various Wi-Fi networks. To efficiently troubleshoot wireless issues, we further analyzed the machine learning model to correlate features in the model with the root cause of quality degradation. Thus, ISPs can utilize the approach presented in this study to provide predictable and measurable wireless quality by implementing a non-intrusive quality monitoring approach in the form of edge computing that preserves customers’ privacy while reducing the operational costs of monitoring and data analytics.

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.

scholarly journals Experiment of Telecom Customer’s Needs and Satisfaction Based on Kano Model

2019 ◽  
Vol 9 (2) ◽  
pp. 5074-5077
Keyword(s):  
Customer Satisfaction ◽  
Behavioral Intentions ◽  
Network Performance ◽  
Service Providers ◽  
Kano Model ◽  
One Dimensional ◽  
Wide Range ◽  
Telecom Service ◽  
Four Quadrant

with the changing technology customers are more aware of services available to them. They access wide range of information of available products and services which has lead to change in their perception about services and service providers. This has made telecom a hard sector to survive for telecom service providers. These changes in behavioral intentions has made it necessary to us understand what all services customers feel a mandatory part of telecom service and what attract them to reuse the service. To study these customers needs Kano model was applied to category services of SERVQUAL model on four quadrant - attractive, one dimensional, must-be and indifferent. The result stated that network performance attract telecom customers the most and tangibility factors are the ones which service providers can minimize as customers are indifferent about them. Safety and security in transaction is one dimensional factor that can increase customer satisfaction. Must be attributes need to be continued to maintained customers stay with the telecom brands. Thus study tried to understand behavior of customers and identify factors that could increase customer satisfaction.

scholarly journals Prepaid Mobile Phone Service and the Anonymous Caller: Considering Wireless E9-1-1 in Canada.

2002 ◽  
Vol 1 (4) ◽  
Author(s):  
Gordon A. Gow ◽  
Mark Ihnat
Keyword(s):  
Mobile Phone ◽  
Emergency Service ◽  
Emergency Services ◽  
Service Providers ◽  
Privacy Rights ◽  
Privacy Concerns ◽  
Wireless Service ◽  
Commercial Networks ◽  
Phone Service ◽  
The Right

This paper reports on a recently concluded empirical study into the development of Wireless E9-1-1 (emergency service) in Canada that initially focussed on privacy concerns raised in the context of an emerging location based service (LBS) for mobile phone users. In light of existing regulatory arrangements this paper concludes that in Canada the emerging Wireless E9-1-1 system establishes a reasonable level of protection for the privacy rights of mobile phone users who choose to contact emergency services. However, an important and surprising issue was raised in the proceedings regarding the obligation of wireless service providers offering prepaid mobile phone service to obtain verifiable subscriber records from their customers. This paper provides details regarding the issue and contributes a number of points to an emerging debate concerning the right to anonymity for customers who elect to use prepaid or other services provided over commercial networks.

scholarly journals Protecting Download Traffic from Upload Traffic over Asymmetric Wireless Links

2018 ◽  
Vol 2018 ◽  
pp. 1-15
Author(s):  
Hwangnam Kim ◽  
Woonghee Lee ◽  
Hyunsoon Kim ◽  
Hwantae Kim ◽  
Jaehyeuk Michael Yang
Keyword(s):  
Cellular Network ◽  
Network Performance ◽  
Service Providers ◽  
Data Networks ◽  
Data Packets ◽  
Link Utilization ◽  
Feedback Scheme ◽  
Mobile Stations ◽  
Cellular Data Networks ◽  
Network Technologies

Many varied mobile device networks have been developed with the advancement of communication and network technologies. Cellular data networks are currently the most widely used, and the number of cellular network subscriptions has increased steadily. Most recent wireless access technologies employ asymmetric uplinks and downlinks because mobile subscribers usually download contents from the Internet. Therefore, most cellular network service providers allocate more bandwidth to downlinks than uplinks for mobile subscribers. However, this asymmetry can have unexpected influence on network performance, particularly TCP performance. When the uplink interface is congested, TCP ACK packets are delayed by TCP data packets on the uplink, causing considerable TCP retransmissions on the downlink channel. Thus, downlink bandwidth cannot be fully utilized, which results in significantly degraded downlink throughput. To resolve this problem, this paper proposes a feedback scheme, network traffic chunk regulator (NCR). We analyzed the aforementioned problem through the empirical study, and we designed and implemented NCR based on the analysis. NCR adaptively controls TCP according to the degree of link usage asymmetry. We evaluate NCR performance through simulations and experiments with real devices. We verify that the proposed scheme allows the downlink traffic to not interfere with the aggressive uplink traffic. Thus, NCR increases total link utilization and aggregated throughput significantly, without imposing additional overhead on base or mobile stations.

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