scholarly journals LTE and WiFi co-existence in 5 GHz unlicensed band

2017 ◽  
Vol 30 (3) ◽  
pp. 363-373 ◽  
Author(s):  
Nenad Milosevic ◽  
Bojan Dimitrijevic ◽  
Dejan Drajic ◽  
Zorica Nikolic ◽  
Milorad Tosic
Keyword(s):  
Mobile Networks ◽  
Network Performance ◽  
Rate Increase ◽  
Wifi Networks ◽  
Downlink Transmission ◽  
Term Evolution ◽  
Coordination Algorithms ◽  
5 Ghz ◽  
Unlicensed Band

Since the future mobile networks will require significantly higher data throughput, and the Long-Term Evolution (LTE) licensed bands are already occupied, the frequency band extension and the data rate increase may be achieved by using some of the available unlicensed bands. The most appropriate unlicensed band for this purpose lies in 5 GHz frequency range. However, this unlicensed band is already occupied by WiFi networks and a special attention has to be paid to coordinate these two different networks in the shared spectrum usage. Therefore, this paper considers the shared access co-existence in 5 GHz unlicensed band between uncoordinated LTE and WiFi networks. More precisely, it considers the influence of the LTE downlink transmission on the performance of the WiFi networks. The experimental results show that the LTE significantly degrades the WiFi network performance, which means that some of the coordination algorithms have to be employed.

scholarly journals Optimization of LTE Network Coverage

2018 ◽  
Vol 1 (1) ◽  
Author(s):  
Fu Yanbo
Keyword(s):  
Mobile Communications ◽  
Network Performance ◽  
High Mobility ◽  
Network Coverage ◽  
Lte Network ◽  
Term Evolution ◽  
High Spectral Efficiency ◽  
Mobile Communication Technology ◽  
New Generation

The trend of mobile, broadband and IP is becoming more and more prominent. Mobile communication technology is now in acritical period in the evolution of network technology. As such, LTE (Long Term Evolution) comes to light. LTE serves as a unified standardfor the new generation of mobile communications, equipped with high spectral efficiency, high peak rate, high mobility, flat networkarchitecture and other advantages. Huawei has played a very important role in the commercialization of LTE. As a sponsor of NGMN,Huawei has been actively involved in the research of some key projects of NGMN, such as network self-optimization, system architectureand Network performance evaluation and so on. This paper mainly introduces the problems encountered in the optimization of LTEnetwork coverage, the practical problems encountered by the LTE project team in Qingdao and the analysis and solutions to the problems.At the same time, this paper discusses in detail on the LTE network optimization process.

scholarly journals Estimating Spectral Efficiency Curves from Connection Traces in a Live LTE Network

2017 ◽  
Vol 2017 ◽  
pp. 1-11 ◽  
Author(s):  
Matías Toril ◽  
Rocío Acedo-Hernández ◽  
Almudena Sánchez ◽  
Salvador Luna-Ramírez ◽  
Carlos Úbeda
Keyword(s):  
Spectral Efficiency ◽  
Network Performance ◽  
Base Stations ◽  
Performance Measurements ◽  
Large Dataset ◽  
Multiple Factors ◽  
Term Evolution ◽  
Commercial Network ◽  
Key Parameter

In cellular networks, spectral efficiency is a key parameter when designing network infrastructure. Despite the existence of theoretical model for this parameter, experience shows that real spectral efficiency is influenced by multiple factors that greatly vary in space and time and are difficult to characterize. In this paper, an automatic method for deriving the real spectral efficiency curves of a Long Term Evolution (LTE) system on a per-cell basis is proposed. The method is based on a trace processing tool that makes the most of the detailed network performance measurements collected by base stations. The method is conceived as a centralized scheme that can be integrated in commercial network planning tools. Method assessment is carried out with a large dataset of connection traces taken from a live LTE system. Results show that spectral efficiency curves largely differ from cell to cell.

scholarly journals Artificial Intelligence Based LTE MIMO Antenna for 5th Generation Mobile Networks

2020 ◽  
Vol 2 (3) ◽  
pp. 155-162
Author(s):  
Dr. Abul Bashar
Keyword(s):  
Artificial Intelligence ◽  
Mobile Networks ◽  
Multiple Input Multiple Output ◽  
Long Term Evolution ◽  
Base Station ◽  
Fifth Generation ◽  
Term Evolution ◽  
Multiple Input ◽  
Input Multiple Output

Artificial intelligence based long term evolution multi in multi output antenna supporting the fifth generation mobile networks is put forth in the paper. The mechanism laid out in paper is devised using the monopole-antenna integrated with the switchable pattern. The long term evolution based multiple input and multiple output antenna is equipped with four antennas and capable of providing a four concurrent data streams quadrupling the theoretical maximum speed of data transfer allowing the base station to convey four diverse signals through four diverse transmit antennas for a single user equipment. The utilization of the long term evolution multiple input multiple output is capable of utilizing the multi-trial broadcasting to offer betterments in the signal performance as well as throughput and spectral efficiency when used along the fifth generation mobile networks. So the paper proposes the artificial intelligence based long term evolution multiple input multiple output four transmit antenna with four diverse signal transmission capacity that is operating in the frequency of 3.501 Gigahertz frequency. The laid out design is evaluated using the Multi-input Multi output signal analyzer to acquire the capacity of the passive conveyance of the various antennas with the diverse combination of patterns. The outcomes observed enables the artificial intelligence antenna to identify the choicest antenna to be integrated in the diverse environments for improving the throughput, signal performance and the data conveyance speed.

Evaluation of Long Term Evolution Cellular Network Performance when Transmitting Multi-view Video Content

2014 ◽  
Vol 3 (3) ◽  
pp. 16-32
Author(s):  
Carl James Debono ◽  
Gloria-Anne Ellul
Keyword(s):  
Video Coding ◽  
Video Transmission ◽  
Network Performance ◽  
High Efficiency ◽  
Three Dimensional ◽  
Long Term Evolution ◽  
3D Video ◽  
High Efficiency Video Coding ◽  
Term Evolution

The Long Term Evolution (LTE) cellular technology provides higher data rates than its predecessor technologies. This advancement paves the way for more data services, including improved multimedia services. Three-dimensional (3D) video transmission is one such service that can benefit from LTE deployment. For a positive uptake of 3D video transmission, the network must provide a good Quality of Service (QoS). In this paper the authors evaluate the LTE network's performance when transmitting Multi-view Video Coding (MVC) using simulcast and inter-view prediction coding. Furthermore, the authors evaluate the system using both the H.264/AVC (Advanced Video Coding) and the more recent High Efficiency Video Coding (HEVC) and their MVC extensions. Results show that, in an urban environment, LTE can accommodate a maximum of 93 users per cell, with adequate QoS, when transmitting 3D HEVC video at Common Intermediate Format (CIF) resolution. Moreover, cross-layer techniques can be used to reduce the QoS degradation as the user moves away from the eNodeB by transmitting lower resolution video.

scholarly journals An end-to-end covert channel via packet dropout for mobile networks

2018 ◽  
Vol 14 (5) ◽  
pp. 155014771877956 ◽  
Author(s):  
Yu-an Tan ◽  
Xinting Xu ◽  
Chen Liang ◽  
Xiaosong Zhang ◽  
Quanxin Zhang ◽  
...  
Keyword(s):  
Mobile Networks ◽  
Video Stream ◽  
Long Term Evolution ◽  
Packet Dropout ◽  
Covert Channel ◽  
Timing Channels ◽  
Term Evolution ◽  
Packet Delays ◽  
End To End

Voice over Long-Term Evolution enables reliable transmission among enormous Internet of Things devices, by providing end-to-end quality of service for Internet protocol–based services such as audio, video, and multimedia messaging. The research of covert timing channels aims at transmitting covert message stealthily to the receiver using variations of timing behavior. Existing approaches mainly modulate the covert message into inter-packet delays of overt traffic, which are not suitable for Voice over Long-Term Evolution, since most of the inter-packet delays of Voice over Long-Term Evolution traffic are of regular distribution, and any modification on inter-packet delays is easy to be detected. To address the issue, in this work, we propose a novel covert timing channel for the video stream in Voice over Long-Term Evolution, which modulates the covert message by deliberately dropping out video packets. Based on the two-dimensional mapping matrix, the blocks of covert message are mapped into dropout-packet sequence numbers. To recover the covert message, the receiver retrieves the sequence numbers of lost packets and identifies them to be translated into blocks of the covert message. To evaluate our scheme, the simulations with different packet loss rates are conducted to validate the undetectability, throughput, and robustness, finally, the results show that this scheme is effective and reliable.

PERFORMANCE ANALYSIS OF THE ENERGY CONSUMPTION OF THE SCHEDULING ALGORITHMS IN LONG TERM EVOLUTION LTE (LONG TERM EVOLUTION) NETWORKS

2016 ◽  
Vol 78 (10-4) ◽  
Author(s):  
Nurulanis Mohd Yusoff ◽  
Darmawaty Mohd Ali ◽  
Ku Siti Syahidah Ku Mohd Noh
Keyword(s):  
Global Warming ◽  
Energy Consumption ◽  
Communication Systems ◽  
Scheduling Algorithms ◽  
Long Term Evolution ◽  
Proportional Fair ◽  
Downlink Transmission ◽  
Term Evolution ◽  
The Impact

Energy efficiency has become an important feature in communication systems due to the problem of global warming and lack of energy resources. The impact on global warming caused by wireless communication industries has been gradually increasing, so it is obvious that developing the green communication is significant. In particular, energy consumption in the base stations and downlink transmission are the major areas where significant conservation can be achieved. Thus, the objective of this study is to investigate the performance of the packet scheduling algorithms in the downlink transmission and the energy consumption for video and Voice over IP (VoIP) applications in Long Term Evolution (LTE) systems. In this work, four different scheduling algorithms were analysed namely the Channel and Quality of Service Aware Proportional Fair (CQA_PF), CQA Frequency Fading (CQA_Ff), Priority Set Scheduler Proportional Fair (PSS_PF), and PSS Carrier Over Interference to Average (PSS_CoItA) based on the performance metrics of throughput, delay, energy consumption ratio (ECR) and fairness. The results showed that the CQA algorithm for both methods (CQA_PF and CQA_Ff) outperformed the other algorithms since it has the highest throughput with an increase of up to 25%. Meanwhile, for delay and ECR, the CQA scheduler was the lowest of up to 20% as compared to the PSS scheduler. Thus, it can be concluded that CQA is the most energy efficient algorithm to schedule the video and VoIP applications.

scholarly journals High-speed data in Africa: an assessment of provision via mobile networks

2018 ◽  
Vol 20 (1) ◽  
pp. 23-41 ◽  
Author(s):  
Peter Curwen ◽  
Jason Whalley
Keyword(s):  
Mobile Networks ◽  
High Speed ◽  
Design Methodology ◽  
Data Networks ◽  
Individual Country ◽  
Content Type ◽  
The Public ◽  
Term Evolution ◽  
High Speed Data

Purpose The purpose of this paper is to examine the current provision of high-speed data networks in the African continent, in particular taking into account both licences and launches related to long-term evolution (LTE). Design/methodology/approach An up-to-date underlying database of licences and launches relating to LTE in Africa has been compiled. There is also a review of the international operators that are playing a significant role in LTE provision. A number of individual country case studies are considered. Issues of corruption are addressed. Findings Africa is interesting because it has been a laggard in the development of high-speed data networks, but now finds itself in a position to leapfrog 3G technologies, and hence close the gap that had opened up compared to, for example, Europe and Asia. This process is effectively assisted by the lack of fixed-wire connectivity but has to take account of the difficulty of attracting the requisite investment. Research limitations/implications Databases relating to Africa are always difficult to compile. Originality/value Published work relating to mobile networks in Africa is not plentiful, and it is difficult to find relevant data in the public domain. A key aspect of the paper is that the database is entirely up-to-date.

scholarly journals Opportunistic Offloading Scheme in Heterogeneous Vehicular Network

2019 ◽  
Vol 8 (6S4) ◽  
pp. 1348-1351
Keyword(s):  
Mobile Networks ◽  
Access Point ◽  
Vehicular Network ◽  
Fourth Generation ◽  
Lte Networks ◽  
Access Points ◽  
Term Evolution ◽  
Point Placement ◽  
Wireless Fidelity

A Heterogeneous Vehicular Network (HetVNET) is a promising network system that integrates several network protocols or systems e.g. IEEE802.11p, Short Range Communication, Third/Fourth Generation mobile networks etc. In HetVNET, wireless fidelity access points (Wi-Fi APs) must utilized by automobile end users to stabilise the Long-Term Evolution (LTE) 4G networks by way of offloading. No matter how usage of the opportunistic Wi-Fi APs to offload the LTE networks in a HetVNET system is comparatively more straightforward. This circumstances is due to the less area reached by Wi-Fi access points and weak placement strategies of access points. Many researcher have suggested that offloading schemes based on the historical wireless fidelity connection patterns noticed by an interest vehicle (IV) in making an offloading conclusion. However, based only on the historical connection patterns affects the prediction accuracy and offloading ratio of most existing schemes even when access point placement data is obtainable. This work suggested that the Opportunistic Offloading Scheme (OOS) is based on historical connection patterns and vehicular trajectory computation to predict the next accessible access point. The suggested plan is decentralised and focuses on urban scenarios whereby the likelihood of an IVto come into contact with Wi-Fi access points is high. We detect the complexity of the suggested Opportunistic Offloading Scheme in this work. The result shows that Opportunistic Offloading Scheme is linear dependent on the amount of the processed data accessible for the prediction.

Sign in / Sign up

Export Citation Format

Share Document