Big Data_Final Presentation

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07/05/2022 1 Big Data Usage in Telecommunications Big Data usage in Telecommunications Presented by Mitun Talukder MS Student Telecommunications Engineering TCOM 5553-980 – Telecommunications Technology

Transcript of Big Data_Final Presentation

Page 1: Big Data_Final Presentation

05/01/2023 1Big Data Usage in Telecommunications

Big Data usage in Telecommunications

Presented byMitun Talukder

MS StudentTelecommunications Engineering

TCOM 5553-980 – Telecommunications Technology

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Content:

Content05/01/2023 2Big Data Usage in Telecommunications

Introduction to Big DataMobile Network Data CollectionData Specification and VarietiesArtificial Intelligence on Big dataAI-based Framework for Data AnalysisUse CasesVisionConclusion

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Big data!!05/01/2023 3Big Data Usage in Telecommunications

What is Big data?

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Big Data Analysis Example05/01/2023 4Big Data Usage in Telecommunications

Tag Crowd: A typical example of Big Data Analysis

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Big Data’s 4 ‘V’- Big Challenge

Big Data: Challenges05/01/2023 5Big Data

Big Data

Volume

Variety

Velocity

Veracity

VolumeData Size

Data Format

Data Streaming Speed

Data Trustworthiness

Variety

Velocity

Veracity

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Gartner Hype Cycle-201505/01/2023 6Big Data

Gartner Hype Cycle-2015

**source: http://www.gartner.com/technology/research/methodologies/hype-cycle.jsp

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Mobile Network Data Collection05/01/2023 7Big Data Usage in Telecommunications

Data Sources in Mobile Network

Subscriber-Level Voice Data

Core Network Level

Network Specific

Subscriber Specific

Additional SourcesCross

DepartmentApp based

Data

**source: Imran, Ali, and Ahmed Zoha. "Challenges in 5G: how to empower SON with big data for enabling 5G." Network, IEEE 28.6 (2014): 27-33.

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BSON Framework05/01/2023 8Big Data Usage in Telecommunications

Big Data Empowered SON Framework

Big data

Classify/Unify

Knowledge based Analytics Model Run SON Engine

Validate

NetworkData from all sources

Relearn/Improve

**source: Imran, Ali, and Ahmed Zoha. "Challenges in 5G: how to empower SON with big data for enabling 5G." Network, IEEE 28.6 (2014): 27-33.

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Mahout Overview05/01/2023 9Big Data Usage in Telecommunications

Apache Mahout

Mahout is about highly scalable machine

learning

Distributed Clustering Implementations

ML is everywhere now

Apache Hadoop Integration

**source: http://mahout.apache.org/

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Artificial Intelligence05/01/2023 10Big Data Usage in Telecommunications

Some Useful AI-based Techniques for Cellular Network:Machine

Learning

Genetic Algorithm Evolution of vector image

Spam Filtering

Swarm Intelligence Route Optimization

Handwriting RecognitionArtificial Neural Network

Fuzzy System Air conditioning system

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Infrastructure of heterogeneous networks05/01/2023 11Big Data Usage in Telecommunications

AI-based Techniques for Emerging Heterogeneous Network:

**source:Wang, Xiaofei, Xiuhua Li, and Victor Leung. "Artificial Intelligence-Based Techniques for Emerging Heterogeneous Network: State of the Arts, Opportunities, and Challenges." Access, IEEE 3 (2015): 1379-1391.

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Illustration on AI based techniques on Hetnets05/01/2023 12Big Data Usage in Telecommunications

AI Based Techniques on Hetnets:

**source:Wang, Xiaofei, Xiuhua Li, and Victor Leung. "Artificial Intelligence-Based Techniques for Emerging Heterogeneous Network: State of the Arts, Opportunities, and Challenges." Access, IEEE 3 (2015): 1379-1391.

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AI based Techniques05/01/2023 13Big Data Usage in Telecommunications

AI-based Techniques in SON:

Self-Configuration Genetic Algorithm can be used to evolve cell planning and coverage optimizationBioRARSA can be used for distributed beam forming configuration for optimal coverage and signal quality.

Self-Healing Cell-outage compensation based on automatic particle swarm compensation algorithmAdaptive Policy Based dynamic reconfiguration for autonomous reconfiguration

Self-Optimization Using Fuzzy Neural Network for antenna tilt and power optimization. Link quality estimation based on bio-inspired neural network paradigm.**source:Wang, Xiaofei, Xiuhua Li, and Victor Leung. "Artificial Intelligence-Based Techniques for Emerging Heterogeneous Network:

State of the Arts, Opportunities, and Challenges." Access, IEEE 3 (2015): 1379-1391.

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Ant Colony Optimization05/01/2023 14Big Data Usage in Telecommunications

Coverage Optimization for Dense Deployment Small cell based on

Ant Colony Optimization (ACO):

**source: Han, Rui, et al. "Coverage Optimization for Dense Deployment Small Cell Based on Ant Colony Algorithm." Vehicular Technology Conference (VTC Fall), 2014 IEEE 80th. IEEE, 2014

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Ant Colony Optimization05/01/2023 15Big Data Usage in Telecommunications

Coverage Optimization Using Ant Colony Optimization (ACO)-Continued:Coverage Hole:

Coverage Overlap:

Coverage Fitness:

Cost Function:

Coverage Quality:

**source: Han, Rui, et al. "Coverage Optimization for Dense Deployment Small Cell Based on Ant Colony Algorithm." Vehicular Technology Conference (VTC Fall), 2014 IEEE 80th. IEEE, 2014

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ACA Based Coverage Optimization05/01/2023 16Big Data Usage in Telecommunications

Coverage Optimization Using Ant Colony Optimization (ACO):

State transition Probability

Node Selection Criteria

Global Pheromone

Pilot Tx Power

**source: Han, Rui, et al. "Coverage Optimization for Dense Deployment Small Cell Based on Ant Colony Algorithm." Vehicular Technology Conference (VTC Fall), 2014 IEEE 80th. IEEE, 2014

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Fuzzy Neural Network05/01/2023 17Big Data Usage in Telecommunications

Self-optimization of coverage and capacity using fuzzy neural network with cooperative reinforcement learning:

Fuzzy logic is way getting

computers to make decisions, lik

e

a human.

Real World Decision: Reasoning

and uncertainty

Fuzzy Logic

• Fuzzy Set

• Fuzzy Rule

Reinforcement learning: unsupervised learning, learning from delayed reward.

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Self Optimization of coverage and capacity using RL-FNN network05/01/2023 18Big Data Usage in Telecommunications

Self-optimization of coverage and capacity using fuzzy neural network with cooperative reinforcement learning:

**source: Fan, Shaoshuai, Hui Tian, and Cigdem Sengul. "Self-optimization of coverage and capacity based on a fuzzy neural network with cooperative reinforcement learning." EURASIP Journal on Wireless Communications and Networking 2014.1 (2014): 1-14.

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Reinforcement Learning Fuzzy Neural Network05/01/2023 19Big Data Usage in Telecommunications

Architecture of RL-FNN

**source: Fan, Shaoshuai, Hui Tian, and Cigdem Sengul. "Self-optimization of coverage and capacity based on a fuzzy neural network with cooperative reinforcement learning." EURASIP Journal on Wireless Communications and Networking 2014.1 (2014): 1-14.

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Artificial Bee Colony Algorithm for BS caching05/01/2023 20Big Data Usage in Telecommunications

Base-station Caching using ABC Algorithm (My Proposed Method):

Onlooker BS

Employed BS-1 Employed BS-2 Employed BS-3

Serving UE

Content meet the desired KPIs, hence selected for

content delivery

Employed BS-2, is selected for content delivery.

Location Area

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Conclusion

Through literature review, some useful AI-based techniques for Hetnets has been explored. AI-based techniques can handle large scale complex systems. For robust, automatic-ability, proactive, fault tolerant-cellular networks, implementation of AI-

based techniques might play important role. Using AI-based SON features, the mobile service performance of Hetnets might significantly

increase. Big Data is the key enabler for AI-based SON features.

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Conclusion:

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Conclusion

Imran, Ali, and Ahmed Zoha. "Challenges in 5G: how to empower SON with big data for enabling 5G." Network, IEEE 28.6 (2014): 27-33.

Wang, Xiaofei, Xiuhua Li, and Victor Leung. "Artificial Intelligence-Based Techniques for Emerging Heterogeneous Network: State of the Arts, Opportunities, and Challenges." Access, IEEE 3 (2015): 1379-1391.

Han, Rui, et al. "Coverage Optimization for Dense Deployment Small Cell Based on Ant Colony Algorithm." Vehicular Technology Conference (VTC Fall), 2014 IEEE 80th. IEEE, 2014.

Fan, Shaoshuai, Hui Tian, and Cigdem Sengul. "Self-optimization of coverage and capacity based on a fuzzy neural network with cooperative reinforcement learning." EURASIP Journal on Wireless Communications and Networking 2014.1 (2014): 1-14.

http://www.gartner.com/technology/research/methodologies/hype-cycle.jsp http://mahout.apache.org

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References:

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Thank You05/01/2023 23Big Data Usage in Telecommunications

Thank You