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 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).

ENHANCING NETWORK PERFORMANCE BY EDGE ADDITION

2011 ◽  
Vol 22 (11) ◽  
pp. 1211-1226 ◽  
Author(s):  
ZHONGYUAN JIANG ◽  
MANGUI LIANG ◽  
DONGCHAO GUO
Keyword(s):  
Network Topology ◽  
Degree Distribution ◽  
Path Length ◽  
Network Performance ◽  
Service Providers ◽  
Network Planning ◽  
Transmission Efficiency ◽  
Average Path Length ◽  
Edge Addition

Transmission efficiency and robustness are two important properties of various networks and a number of optimization strategies have been proposed recently. We propose a scheme to enhance the network performance by adding a small fraction of links (or edges) to the currently existing network topology, and we present four edge addition strategies for adding edges efficiently. We aim at minimizing the maximum node betweenness of any node in the network to improve its transmission efficiency, and a number of experiments on both Barabási–Albert (BA) and Erdös–Rényi (ER) networks have confirmed the effectiveness of our four edge addition strategies. Also, we evaluate the effect of some other measure metrics such as average path length, average betweenness, robustness, and degree distribution. Our work is very valuable and helpful for service providers to optimize their network performance by adding a small fraction of edges or to make good network planning on the existing network topology incrementally.

scholarly journals A Trace Data-Based Approach for an Accurate Estimation of Precise Utilization Maps in LTE

2017 ◽  
Vol 2017 ◽  
pp. 1-10 ◽  
Author(s):  
Almudena Sánchez ◽  
Rocío Acedo-Hernández ◽  
Matías Toril ◽  
Salvador Luna-Ramírez ◽  
Carlos Úbeda
Keyword(s):  
Network Performance ◽  
Geographical Area ◽  
Network Planning ◽  
Temporal Distribution ◽  
Accurate Estimate ◽  
Accurate Estimation ◽  
Large Network ◽  
Performance Measurements ◽  
Lte Network ◽  
Network Utilization

For network planning and optimization purposes, mobile operators make use of Key Performance Indicators (KPIs), computed from Performance Measurements (PMs), to determine whether network performance needs to be improved. In current networks, PMs, and therefore KPIs, suffer from lack of precision due to an insufficient temporal and/or spatial granularity. In this work, an automatic method, based on data traces, is proposed to improve the accuracy of radio network utilization measurements collected in a Long-Term Evolution (LTE) network. The method’s output is an accurate estimate of the spatial and temporal distribution for the cell utilization ratio that can be extended to other indicators. The method can be used to improve automatic network planning and optimization algorithms in a centralized Self-Organizing Network (SON) entity, since potential issues can be more precisely detected and located inside a cell thanks to temporal and spatial precision. The proposed method is tested with real connection traces gathered in a large geographical area of a live LTE network and considers overload problems due to trace file size limitations, which is a key consideration when analysing a large network. Results show how these distributions provide a very detailed information of network utilization, compared to cell based statistics.

scholarly journals D2D Assisted Cellular Networks in Licensed and Unlicensed Spectrum: Matching-Iteration-Based Joint User Access and Resource Allocation

Algorithms ◽  
2021 ◽  
Vol 14 (3) ◽  
pp. 80
Author(s):  
Qiuqi Han ◽  
Guangyuan Zheng ◽  
Chen Xu
Keyword(s):  
Resource Allocation ◽  
Cellular Networks ◽  
System Capacity ◽  
System Throughput ◽  
Unlicensed Spectrum ◽  
Resource Allocation Algorithm ◽  
User Access ◽  
Limited Spectrum

Device-to-Device (D2D) communications, which enable direct communication between nearby user devices over the licensed spectrum, have been considered a key technique to improve spectral efficiency and system throughput in cellular networks (CNs). However, the limited spectrum resources cannot be sufficient to support more cellular users (CUs) and D2D users to meet the growth of the traffic data in future wireless networks. Therefore, Long-Term Evolution-Unlicensed (LTE-U) and D2D-Unlicensed (D2D-U) technologies have been proposed to further enhance system capacity by extending the CUs and D2D users on the unlicensed spectrum for communications. In this paper, we consider an LTE network where the CUs and D2D users are allowed to share the unlicensed spectrum with Wi-Fi users. To maximize the sum rate of all users while guaranteeing each user’s quality of service (QoS), we jointly consider user access and resource allocation. To tackle the formulated problem, we propose a matching-iteration-based joint user access and resource allocation algorithm. Simulation results show that the proposed algorithm can significantly improve system throughput compared to the other benchmark algorithms.

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 They Do Their Best, but Their Best Isn’t Good Enough: How Social Housing Can Support Older Tenants Aging in Place

2020 ◽  
Vol 4 (Supplement_1) ◽  
pp. 23-23
Author(s):  
Christine Sheppard ◽  
Andrea Austen ◽  
Sander Hitzig
Keyword(s):  
Older Adults ◽  
Social Housing ◽  
Service Providers ◽  
Policy Implications ◽  
Service Model ◽  
Building Trust ◽  
Age In Place ◽  
Access To Health ◽  
The City

Abstract Toronto Community Housing (TCH) is the second largest social housing landlord in North America, and is home to over 27,000 older adults, half of whom live in 83 “seniors-designated” buildings. There is inadequate and inconsistent delivery of services in these buildings, negatively impacting tenants’ ability to age in place. We conducted two half-day consultations with service providers (n=74) and tenants (n=100) to identify strategies to improve unit condition, promote stable tenancies (i.e., prevent evictions) and enhance access to health and support services for older adults living in TCH. Through facilitated discussion, participants identified their top two recommendations for each priority area and reflected on the strategies that were hardest and easiest to implement, as well as the ones that would have the most and least impact on quality of life for older tenants. Participants recognized the need for more education as a way to empower older tenants and reduce stigma associated with unit condition issues (e.g., pest problems) and arrears. More frequent touch points with tenants was also recommended as a way to identify older adults at-risk of eviction and work proactively (instead of reactively) to support them. Service providers and tenants believed that system navigators working directly in the buildings would be a key facilitator to building trust and helping older tenants access needed services. Outcomes of the have several program and policy implications for TCH, as they partner with the City of Toronto to design a new integrated service model for the seniors-designated buildings.

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 Dynamic Plan Control: An Effective Tool to Manage Demand Considering Mobile Internet Network Congestion

2020 ◽  
Vol 11 (1) ◽  
pp. 91
Author(s):  
Xiaoyu Ma ◽  
Jihong Zhang ◽  
Yuan Cao ◽  
Zhou He ◽  
Jonas Nebel
Keyword(s):  
Programming Problem ◽  
Service Provider ◽  
Service Providers ◽  
Control Method ◽  
Network Capacity ◽  
Mobile Internet ◽  
Mixed Integer ◽  
Mobile Service ◽  
Data Traffic ◽  
Potential Customers

Rapidly increasing mobile data traffic have placed a significant burden on mobile Internet networks. Due to limited network capacity, a mobile network is congested when it handles too much data traffic simultaneously. In turn, some customers leave the network, which induces a revenue loss for the mobile service provider. To manage demand and maximize revenue, we propose a dynamic plan control method for the mobile service providers under connection-speed-restriction pricing. This method allows the mobile service provider to dynamically set the data plans’ availability for potential customers’ new subscriptions. With dynamic plan control, the service provider can adjust data network utilization and achieve high customer satisfaction and a low churn rate, which reflect high service supply chain performance. To find the optimal control policy, we transform the high-dimensional dynamic programming problem into an equivalent mixed integer linear programming problem. We find that dynamic plan control is an effective tool for managing demand and increasing revenue in the long term. Numerical evaluation with a large European mobile service provider further supports our conclusion. Furthermore, when network capacity or potential customers’ willingness to join the network changes, the dynamic plan control method generates robust revenue for the service provider.

Sign in / Sign up

Export Citation Format

Share Document