scholarly journals Statistical Model for Mobile User Positioning Based on Social Information

Electronics ◽  
2021 ◽  
Vol 10 (15) ◽  
pp. 1782
Author(s):  
Juan Luis Bejarano-Luque ◽  
Matías Toril ◽  
Mariano Fernández-Navarro ◽  
Luis Roberto Jiménez ◽  
Salvador Luna-Ramírez
Keyword(s):  
Social Networks ◽  
Population Density ◽  
Mobile Networks ◽  
Mobile User ◽  
Data Traffic ◽  
Huge Amount ◽  
User Context ◽  
Term Evolution ◽  
User Location

In spite of the vast set of measurements provided by current mobile networks, cellular operators have problems pinpointing problematic locations because the origin of such measurements (i.e., user location) is usually not registered. At the same time, social networks generate a huge amount of data that can be used to infer population density. In this work, a data-driven model is proposed to deduce the statistical distribution of connections, exploiting the knowledge of network layout and population density in the scenario. Due to the absence of GPS measurements, the proposed method combines data from radio connection traces stored in the network management system and geolocated posts from social networks. This information is enriched with user context information inferred from data traffic attributes. The method is tested with a large trace dataset from a live Long Term Evolution (LTE) network and a database of geotagged posts from social networks collected in real-time.

scholarly journals Handover with Buffering for Distributed Mobility Management in Software Defined Mobile Networks

2018 ◽  
Vol 6 (1) ◽  
pp. 26-40
Author(s):  
Battulga Davaasambuu
Keyword(s):  
Mobile Networks ◽  
Mobility Management ◽  
Single Point ◽  
Mobile Network ◽  
Base Stations ◽  
Data Traffic ◽  
Distributed Mobility Management ◽  
Mobile Cellular ◽  
Network Technologies

The rapidly-growing number of mobile subscribers has led to the creation of a large number of signalling messages. This makes it difficult to efficiently handle the mobility of subscribers in mobile cellular networks. The long-term evolution (LTE) architecture provides software-defined networking (SDN) to meet the requirements of 5G networks and to forward massive mobile data traffic. The SDN solution proposes separation of the control and data planes of a network. Centralized mobility management (CMM) is widely used in current mobile network technologies, such as 4G networks. One of the problems related to CMM is a single point of failure. To solve the problems of CMM and in order to provide for efficient mobility management, IETF has developed a solution called distributed mobility management (DMM), in which mobility is handled via the nearest mobility anchor. In this paper, we propose a DMM solution with handover operations for SDN-enabled mobile networks. The advantage of the proposed solution is that intra and inter handover procedures are defined with the data buffering and forwarding processes between base stations and mobility anchors. We adopt a simulation model to evaluate and compare the proposed solution with the existing solution in terms of handover latency, packet loss and handover failures.

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.

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.

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.

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 User Content Delivery Service for Efficient POMA based LTE Channel Spectrum Scheduling Algorithm

2019 ◽  
Vol 9 (2S3) ◽  
pp. 58-61
Keyword(s):  
Scheduling Algorithm ◽  
Content Delivery ◽  
Mobile User ◽  
Operational Cost ◽  
Lte Networks ◽  
Term Evolution ◽  
The Impact ◽  
Test Level ◽  
User Content

Currently Long-Term Evolution (LTE) technologies are developing with an advanced network content delivery infrastructure sharing capabilities for different users and operators. Therefore, an efficient open-infrastructure of Position-orthogonal multiple access (POMA) based LTE networks with the content delivery capability is crucial to design and implement at this stage of research in LTE area. In this paper, the main contribution is the design and implementation of such LTE networks users open-infrastructure to enable the content delivery and sharing capabilities to be performed in virtual iterative precoding architectures. The proposed user content delivery infrastructure enables this service and sharing to the components of LTE architecture. A channel spectrum scheduling algorithm has been implemented through validation with test level experiments conducted to estimate the compatibility of LTE infrastructure virtualization in proposed open-infrastructure. The impact and scope of the proposed algorithm service can make the operational cost of the LTE mobile user to reduce

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