Perceptive Mobile Network: Cellular Networks With Radio Vision via Joint Communication and Radar Sensing

In a cellular network, the channel borrowing/locking problem is of NP-hard type. Many heuristic methods are proposed for its solution. In this network, the call-arrival rate, the call duration and the communication overhead between the base stations and the control center are vague and uncertain. Therefore, in this paper, we propose a new efficient dynamic-channel borrowing for load balancing in distributed cellular networks based on the intelligent controllers based the integrated system for GA- FL-NN technologies is presented to maximize the number of served calls in distributed wireless cellular networks. The proposed scheme exhibits better learning abilities, optimization abilities, robustness, and fault-tolerant capability thus yielding a better performance than other algorithms. The results demonstrate that our algorithm has lower new call blocking rate, lower handoff dropping rate, less update overhead, and shorter channel acquisition delay.

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Dynamic Coverage Optimization for 5G Ultra-Dense Cellular Networks Based on Their User Densities

10.21203/rs.3.rs-582666/v1 ◽

2021 ◽

Author(s):

Soumya Ranjan Samal ◽

Kaliprasanna Swain ◽

Shuvabrata Bandopadhaya ◽

Nikolay Dandanov ◽

Vladimir Poulkov ◽

...

Keyword(s):

Cellular Networks ◽

User Satisfaction ◽

Hot Spot ◽

Optimization Technique ◽

Mobile Network ◽

Adaptive Antenna ◽

Coverage Area ◽

Coverage Optimization ◽

Single User ◽

User Density

Abstract This paper has proposed a user-density-based coverage optimization technique for ultra-dense cellular networks. Antenna tilting is a promising coverage optimization technique to be used in 5G networks that significantly improve the signal to interference plus noise ratio (SINR) by choosing the appropriate angle of tilt. In this paper, the cellular coverage has been optimized for scattered user densities/user-hotspots using an adaptive antenna tilting mechanism that steers the beams towards the temporal hot spot in the coverage area. The proposed method has the competence to improve the desired SINR level and coverage area for a group of the user rather than a single user. In this work, a reinforcement learning (RL) algorithm has been implemented to optimize the tilt angle. The performance of the proposed technique has been evaluated in the simulation platform considering a three-sectored multicellular mobile network where the groups of user clusters are distributed randomly. The result confirms the improvement in RSS and SINR value in the group of users having high density with maximum user satisfaction.

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The Supply and Demand Mechanism of Electric Power Retailers and Cellular Networks Based on Matching Theory

Information ◽

10.3390/info9080192 ◽

2018 ◽

Vol 9 (8) ◽

pp. 192 ◽

Cited By ~ 2

Author(s):

Yinghui Kong ◽

Wenchan Huang ◽

Baogang Li

Keyword(s):

Cellular Networks ◽

Supply And Demand ◽

Electricity Consumption ◽

Mobile Network ◽

Matching Theory ◽

Matching Algorithm ◽

Electricity Bill ◽

Mobile Network Operators ◽

Transaction Price

With the rapid increase of wireless network traffic, the energy consumption of mobile network operators (MNOs) continues to increase, and the electricity bill has become an important part of the operating expenses of MNOs. The power grid as the power supplier of cellular networks is also developing rapidly. In this paper, we design two levels of bilateral matching algorithm to solve the energy management of micro-grid connected cellular networks. There are multiple retailers (sellers) and clusters (buyers) in our system model, which determine the transaction price and trading energy respectively and have a certain influence on the balance of energy supply and demand. Retailers make more profits by adjusting the price of electricity in matching algorithm M-1, depending on the energy they capture and the level of storage. At the same time, clusters adjust the electricity consumption through matching algorithm M-2 and power allocation on the basis of ensuring the quality of users’ service. Finally, the performance of the proposed scheme is evaluated by changing various parameters in the simulation.

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Evaluating Network Readiness for mHealth Interventions Using the Beacon Mobile Phone App: Application Development and Validation Study (Preprint)

10.2196/preprints.18413 ◽

2020 ◽

Author(s):

Thomas Foster Scherr ◽

Carson Paige Moore ◽

Philip Thuma ◽

David Wilson Wright

Keyword(s):

Health Care ◽

Global Health ◽

Mobile Phone ◽

Cellular Networks ◽

Validation Study ◽

Network Performance ◽

Mobile Network ◽

Health Interventions ◽

Application Development ◽

Quality Health Care

BACKGROUND Mobile health (mHealth) interventions have the potential to transform the global health care landscape. The processing power of mobile devices continues to increase, and growth of mobile phone use has been observed worldwide. Uncertainty remains among key stakeholders and decision makers as to whether global health interventions can successfully tap into this trend. However, when correctly implemented, mHealth can reduce geographic, financial, and social barriers to quality health care. OBJECTIVE The aim of this study was to design and test Beacon, a mobile phone–based tool for evaluating mHealth readiness in global health interventions. Here, we present the results of an application validation study designed to understand the mobile network landscape in and around Macha, Zambia, in 2019. METHODS Beacon was developed as an automated mobile phone app that continually collects spatiotemporal data and measures indicators of network performance. Beacon was used in and around Macha, Zambia, in 2019. Results were collected, even in the absence of network connectivity, and asynchronously uploaded to a database for further analysis. RESULTS Beacon was used to evaluate three mobile phone networks around Macha. Carriers A and B completed 6820/7034 (97.0%) and 6701/7034 (95.3%) downloads and 1349/1608 (83.9%) and 1431/1608 (89.0%) uploads, respectively, while Carrier C completed only 62/1373 (4.5%) file downloads and 0/1373 (0.0%) file uploads. File downloads generally occurred within 4 to 12 seconds, and their maximum download speeds occurred between 2 AM and 5 AM. A decrease in network performance, demonstrated by increases in upload and download durations, was observed beginning at 5 PM and continued throughout the evening. CONCLUSIONS Beacon was able to compare the performance of different cellular networks, show times of day when cellular networks experience heavy loads and slow down, and identify geographic “dead zones” with limited or no cellular service. Beacon is a ready-to-use tool that could be used by organizations that are considering implementing mHealth interventions in low- and middle-income countries but are questioning the feasibility of the interventions, including infrastructure and cost. It could also be used by organizations that are looking to optimize the delivery of an existing mHealth intervention with improved logistics management.

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Handoff in Various Mobile Network Technologies

Transport and Communications ◽

10.26552/tac.c.2019.2.6 ◽

2019 ◽

Vol 7 (2) ◽

pp. 28-32

Author(s):

Ekaterina Otsetova-Dudin ◽

Keyword(s):

Quality Of Service ◽

Cellular Networks ◽

Mobile Network ◽

Spectrum Utilization ◽

High Definition ◽

Mobile Cellular ◽

Fifth Generation ◽

Transmission Reliability ◽

Network Technologies

Mobile cellular networks are an indispensable part of modern life, where the need for customer satisfaction in the use of many different services by consumers is constantly increasing. The requirements for higher transmission speed, lossless transmission, reliability, efficiency, low latency, mass connectivity, guarantee of high Quality of Service criteria are repeatedly increasing. All this requires the continuous development of the used technologies as well as the introduction of new generations of networks. Handover mechanism is extremely important in cellular network because of the cellular architecture employed to maximize spectrum utilization. To ensure the quality of service in wireless cellular networks, the report proposes the use of a Horizontal Handoff Priority Scheme. Simulation experiments have been carried out, the probability parameters of the scheme have been evaluated and the probabilities of losses occurrence have been classified as rare events. The proposed material are various algorithms and techniques for the implementation of Vertical and Horizontal Handoff in 3G, 4G and fifth-generation networks to provide the required QoS for mobile users with Ultra-High Definition.

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Game Theoretic Infrastructure Sharing in Wireless Cellular Networks

Game Theory Framework Applied to Wireless Communication Networks - Advances in Wireless Technologies and Telecommunication ◽

10.4018/978-1-4666-8642-7.ch014 ◽

2015 ◽

pp. 368-398

Author(s):

Alexandra Bousia ◽

Elli Kartsakli ◽

Angelos Antonopoulos ◽

Luis Alonso ◽

Christos Verikoukis

Keyword(s):

Energy Consumption ◽

Cellular Networks ◽

Cost Savings ◽

Mobile Network ◽

Cost Effective ◽

Base Stations ◽

Traffic Demand ◽

Game Theoretic ◽

Mobile Network Operators ◽

Low Traffic

The emerging traffic demand has fueled the rapid densification of cellular networks. The increased number of Base Stations (BSs) leads to augmented energy consumption and expenditures for the Mobile Network Operators (MNOs), especially during low traffic, when many of the BSs remain underutilized. Hence, the MNOs are encouraged to provide “green” and cost effective solutions for their networks. In this chapter, an innovative algorithm for infrastructure sharing in two-operator environments is proposed, based on BSs switching off during low traffic periods. Motivated by the conflicting interests of the operators, the problem is formulated in a game theoretic framework that enables the MNOs to act individually to estimate the switching off probabilities that reduce their financial cost. The authors analytically and experimentally estimate the potential energy and cost savings that can be accomplished. The obtained results show a significant reduction in both energy consumption and expenditures, thus giving the operators the necessary incentives for infrastructure sharing.

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Maintaining Mobile Network Coverage Availability in Disturbance Scenarios

Mobile Information Systems ◽

10.1155/2016/4816325 ◽

2016 ◽

Vol 2016 ◽

pp. 1-10

Author(s):

Joonas Säe ◽

Jukka Lempiäinen

Keyword(s):

Cellular Networks ◽

Mobile Networks ◽

Mobile Network ◽

Service Level ◽

Network Coverage ◽

Energy Usage ◽

Network Availability ◽

Simulation Results ◽

Normal Utilization

Disturbance and disaster scenarios prevent the normal utilization of mobile networks. The aim of this study is to maintain the availability of cellular networks in disturbance scenarios. In order to extend the disaster time functionality, energy usage optimization is needed to maintain reasonable coverage and capacity. Simulations performed with different network layouts show the effects of choosing only a portion of evolved node B (eNB) macrosites to operate at a time. Different sets of three to nine three-sectored eNB sites are selected to study how the network would perform with a limited number of eNB sites. Simulation results show how the mobile network availability duration can be sustained by selecting a set of eNB sites to operate at a time and still maintain a reasonable service level and availability in disturbance scenarios. An increase of 100% to 500% can be achieved in the duration of “backup coverage” in cellular networks with backup batteries when the percentage of active eNB sites is reduced down to 20%.

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Framework for a Perceptive Mobile Network Using Joint Communication and Radar Sensing

IEEE Transactions on Aerospace and Electronic Systems ◽

10.1109/taes.2019.2939611 ◽

2020 ◽

Vol 56 (3) ◽

pp. 1926-1941 ◽

Cited By ~ 5

Author(s):

Md. Lushanur Rahman ◽

J. Andrew Zhang ◽

Xiaojing Huang ◽

Y. Jay Guo ◽

Robert W. Heath

Keyword(s):

Mobile Network ◽

Radar Sensing

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Evaluating Network Readiness for mHealth Interventions Using the Beacon Mobile Phone App: Application Development and Validation Study

JMIR mhealth and uhealth ◽

10.2196/18413 ◽

2020 ◽

Vol 8 (7) ◽

pp. e18413

Author(s):

Thomas Foster Scherr ◽

Carson Paige Moore ◽

Philip Thuma ◽

David Wilson Wright

Keyword(s):

Health Care ◽

Global Health ◽

Mobile Phone ◽

Cellular Networks ◽

Validation Study ◽

Network Performance ◽

Mobile Network ◽

Health Interventions ◽

Application Development ◽

Quality Health Care

Background Mobile health (mHealth) interventions have the potential to transform the global health care landscape. The processing power of mobile devices continues to increase, and growth of mobile phone use has been observed worldwide. Uncertainty remains among key stakeholders and decision makers as to whether global health interventions can successfully tap into this trend. However, when correctly implemented, mHealth can reduce geographic, financial, and social barriers to quality health care. Objective The aim of this study was to design and test Beacon, a mobile phone–based tool for evaluating mHealth readiness in global health interventions. Here, we present the results of an application validation study designed to understand the mobile network landscape in and around Macha, Zambia, in 2019. Methods Beacon was developed as an automated mobile phone app that continually collects spatiotemporal data and measures indicators of network performance. Beacon was used in and around Macha, Zambia, in 2019. Results were collected, even in the absence of network connectivity, and asynchronously uploaded to a database for further analysis. Results Beacon was used to evaluate three mobile phone networks around Macha. Carriers A and B completed 6820/7034 (97.0%) and 6701/7034 (95.3%) downloads and 1349/1608 (83.9%) and 1431/1608 (89.0%) uploads, respectively, while Carrier C completed only 62/1373 (4.5%) file downloads and 0/1373 (0.0%) file uploads. File downloads generally occurred within 4 to 12 seconds, and their maximum download speeds occurred between 2 AM and 5 AM. A decrease in network performance, demonstrated by increases in upload and download durations, was observed beginning at 5 PM and continued throughout the evening. Conclusions Beacon was able to compare the performance of different cellular networks, show times of day when cellular networks experience heavy loads and slow down, and identify geographic “dead zones” with limited or no cellular service. Beacon is a ready-to-use tool that could be used by organizations that are considering implementing mHealth interventions in low- and middle-income countries but are questioning the feasibility of the interventions, including infrastructure and cost. It could also be used by organizations that are looking to optimize the delivery of an existing mHealth intervention with improved logistics management.

Download Full-text