Data rate fluctuations from user perspective in 4G mobile networks

2014 ◽  
Author(s):  
Pavle Skocir ◽  
Damjan Katusic ◽  
Ivan Novotni ◽  
Iva Bojic ◽  
Gordan Jezic
Keyword(s):  
Mobile Networks ◽  
Data Rate ◽  
User Perspective

scholarly journals Mitigation of Nonlinear Distortions for a 100 Gb/s Radio-Over-Fiber-Based WDM Network

Electronics ◽  
2020 ◽  
Vol 9 (11) ◽  
pp. 1796 ◽  
Author(s):  
Saifur Rahman ◽  
Farman Ali ◽  
Adrian Smagor ◽  
Fazal Muhammad ◽  
Usman Habib ◽  
...  
Keyword(s):  
Fiber Optics ◽  
Mobile Networks ◽  
Orthogonal Frequency Division Multiplexing ◽  
Average Power ◽  
Data Rate ◽  
Radio Over Fiber ◽  
Limiting Factors ◽  
Modulation Formats ◽  
Transmission Distance ◽  
Nonlinear Distortions

Next-generation cloud radio access networks (C-RANs) are anticipated to provide multi-Gbps data rate transmission and ultra-high bandwidth capacity, which is one of the key performance indicators for future mobile networks. The integral layout of fiber optics and radio network manages the capabilities of the C-RAN, but needs to be optimized in terms of cost, reliability and further scalibility. For C-RAN architectures, Radio over Fiber (RoF) transport-based fronthaul is a promising candidate but the associated issues of distortions due to nonlinear impairments (NLIs) from power amplifier, linear distortions (LDs) due to modulating lasers and high peak to average power ratio (PAPR) of orthogonal frequency division multiplexing (OFDM) signals need to be addressed. This work investigates these performance limiting factors and presents a DSP receiver-based solution to mitigate the effects of NLIs, LDs and high PAPR. Simulations are performed by applying a various range of transmission input powers, different quadrature amplitude modulation (QAM) formats for the OFDM signal, optimized filtering at the receiver end and varying channel spacing among the optical WDM channels to analyze the performance of the proposed receiver under different conditions. The simulations and theoretical model of the proposed case studies verify that the presented solution for the RoF transport utilize less power, performs better for longer transmission distances, supports higher modulation formats and transports large number of WDM channels in the presence of NLIs and DLs as compared to the conventional RoF approach. With compensation of NLIs and LDs, transmission distance up to 10 km is investigated using 16 WDM channels with aggregate data rate of 100 Gb/s which shows that the proposed receiver can be used for future C-RAN fronthaul networks.

Delay Tolerant Network Protocols in a Railway Network

2021 ◽  
Vol 12 (4) ◽  
pp. 1-17
Author(s):  
Eugene Tikhonov ◽  
Donat Schneps-Schneppe ◽  
Dmitry Namiot
Keyword(s):  
Communication Network ◽  
Mobile Networks ◽  
Moving Objects ◽  
Network Protocols ◽  
Data Rate ◽  
Delay Tolerant Network ◽  
Network System ◽  
Railway Network ◽  
Railway Line ◽  
Delay Tolerant

The paper is devoted to the analysis of the effectiveness of the DTN (delay tolerant network) system in a communication network on a railway line. Trains act as moving objects that are sending and receiving messages to/from an external network. Trains may also transmit telemetry collected during movement. The article presents data on the effectiveness of the DTN network with various protocols in terms of reducing the delay in the message and telemetry delivery and in increasing the total number of delivered messages in the railway scenario. An analysis of railway lines with various loads and different coverage of mobile networks was made. These models are based on real railway maps and train schedules. The effectiveness of DTN during migration to networks of a higher data rate (5G) and networks with satellite connection of trains is discussed.

Very High Data Rate Support for Mobile Cloud Services Using SDN-Based Heterogeneous Carrier Aggregation

2014 ◽  
Vol 24 (07) ◽  
pp. 983-1011
Author(s):  
Dong Ha Kim ◽  
Cheolhoon Kim ◽  
Yumi Oh ◽  
Sungwon Lee ◽  
Seung Gwan Lee
Keyword(s):  
Cloud Computing ◽  
Mobile Devices ◽  
Mobile Networks ◽  
Data Transfer ◽  
Cost Effective ◽  
Data Rate ◽  
Cloud Services ◽  
Carrier Aggregation ◽  
Radio Access ◽  
5G Mobile Networks

Mobile traffic is currently the most important traffic on the Internet, both domestically and internationally. This is predominantly attributable to widespread cloud computing-based services on mobile networks. Fifth generation (5G) mobile networks are expected to comfortably accommodate this type of traffic by supporting 1,000 times faster speeds than conventional 4G. However, commercial implementation of 5G mobile is targeted for the year 2020. Therefore, interim accommodation approaches are needed. In essence, 5G mobile networks are an evolution of 4G in which a licensed spectrum that generates revenue from user data transfer is being considered. Consequently, more cost-effective methods that utilize the unlicensed spectrum are also desired. Meanwhile, concomitant with pursuit of miniaturization and reduction in weight, the number and types of network interfaces in recent mobile devices are increasing. We propose a method for carrier aggregation of multiple heterogeneous wireless links based on software-defined networking (SDN) that controls traffic and manages the wireless interfaces of mobile devices effectively when multiple radio access technologies are available. Evaluations conducted of the proposed method on an experimental testbed developed using the OpenStack cloud computing platform with aggregated multiple radio access technology environments indicate that it is feasible and provides higher data rate.

Seamless QoE Support for Mobile Cloud Services Using IEEE802.21 MIH and the GENI Future Internet Framework

2014 ◽  
Vol 24 (07) ◽  
pp. 1039-1063 ◽  
Author(s):  
Gijeong Kim ◽  
Sungwon Lee ◽  
Seung Gwan Lee
Keyword(s):  
Cloud Computing ◽  
Mobile Networks ◽  
Mobile Cloud Computing ◽  
Resource Constraints ◽  
Future Internet ◽  
Data Rate ◽  
Cloud Services ◽  
Mobile Cloud ◽  
Wireless Data ◽  
Control Framework

Mobile cloud service is the most important traffic generator today, and high data rate services in this area are increasing. The Virtual Desktop Infrastructure (VDI) is a circuit-like service that is widely deployed owing to its security merits and the resource constraints of mobile devices. However, VDI requires a high and guaranteed virtually constant wireless data rate. Thus, we focus on the problems that have to be resolved in order for IEEE802.21 Media Independent Handover (MIH) to support a guaranteed wireless data rate and also enable it to offer optimized and maximized data rate support for mobile cloud services. We also consider a virtual machine (VM) migration scheme that is tightly coupled to mobile networks and can minimize the user's service delay and reduce the bandwidth requirements of the wired network. We then present a consistent control framework by extending the Global Environment for Network Innovations (GENI) control framework to provide a single integrated control framework for cloud computing and Future Internet compatibility. Finally, we develop an experimental testbed using a mobile cloud computing environment and evaluate the performance of the proposed scheme. We show that the proposed method can enhance the Quality of Experience (QoE) of mobile cloud computing services with increased data rate support and a single consistent control framework that is compatible with the GENI-based Future Internet architecture. The results of evaluations conducted indicate that our proposed method provides 24%–41% better data rate compared to conventional methods.

scholarly journals ASR - Adaptive Similarity-Based Regressor for Uplink Data Rate Estimation in Mobile Networks

2020 ◽  
Vol 38 (10) ◽  
pp. 2284-2294 ◽  
Author(s):  
Georgi Nikolov ◽  
Michael Kuhn ◽  
Alan McGibney ◽  
Bernd-Ludwig Wenning
Keyword(s):  
Mobile Networks ◽  
Data Rate ◽  
Rate Estimation

MIMO antenna miniaturization standards for future 5G

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Swetha Katragadda ◽  
PVY Jayasree
Keyword(s):  
Mobile Networks ◽  
Mobile Applications ◽  
High Speed ◽  
Data Rate ◽  
Wave Frequency ◽  
Antenna Design ◽  
Frequency Range ◽  
Content Type ◽  
Mimo Antenna ◽  
Trade Offs

PurposeThe fifth-generation technology 5G, the planned successor to 4G, is a new global standard for mobile networks that brings virtual to reality. 5G wireless technology enables the delivery of high speed, low latency, reliability, 100% coverage and availability to connect number of users as in massive IoT applications.Design/methodology/approachWith expeditious development in wireless communication, the need for enhanced characteristic antenna design such as the size of the antenna, high data rate, demand in traffic, bandwidth, gain and efficiency increases. Various antenna designs are to be explored to meet the needs and achieve trade-offs between antenna size vs cost, high gain and efficiency vs less loss, high B.W and data rate with the selection of appropriate substrate materials and various gain & isolation enhancement techniques.FindingsThis paper thus gives scope for miniaturized MIMO antenna design for mobile applications at mm-wave frequency range.Originality/valueThis paper thus gives scope for miniaturized MIMO antenna design for mobile applications at mm-wave frequency range.

scholarly journals Multi-Cell LTE-U/Wi-Fi Coexistence Evaluation Using a Reinforcement Learning Framework

Sensors ◽  
2020 ◽  
Vol 20 (7) ◽  
pp. 1855 ◽  
Author(s):  
José M. de C. Neto ◽  
Sildolfo F. G. Neto ◽  
Pedro M. de Santana ◽  
Vicente A. de Sousa
Keyword(s):  
Reinforcement Learning ◽  
Mobile Networks ◽  
New Technologies ◽  
Data Rate ◽  
Added Value ◽  
Broadband Internet ◽  
Learning Framework ◽  
Data Rates ◽  
User Data ◽  
5 Ghz

Cellular broadband Internet of Things (IoT) applications are expected to keep growing year-by-year, generating demands from high throughput services. Since some of these applications are deployed over licensed mobile networks, as long term evolution (LTE), one already common problem is faced: the scarcity of licensed spectrum to cope with the increasing demand for data rate. The LTE-Unlicensed (LTE-U) forum, aiming to tackle this problem, proposed LTE-U to operate in the 5 GHz unlicensed spectrum. However, Wi-Fi is already the consolidated technology operating in this portion of the spectrum, besides the fact that new technologies for unlicensed band need mechanisms to promote fair coexistence with the legacy ones. In this work, we extend the literature by analyzing a multi-cell LTE-U/Wi-Fi coexistence scenario, with a high interference profile and data rates targeting a cellular broadband IoT deployment. Then, we propose a centralized, coordinated reinforcement learning framework to improve LTE-U/Wi-Fi aggregate data rates. The added value of the proposed solution is assessed by a ns-3 simulator, showing improvements not only in the overall system data rate but also in average user data rate, even with the high interference of a multi-cell environment.

Sign in / Sign up

Export Citation Format

Share Document