AI IN WIRELESS COMMUNICATION
WIRELESS COMMUNICATION:
ARTIFICIAL INTELLIGENCE:
What happens when AI technology and wireless communication gets converged?
Some tools are used to apply AI in wireless communication field:
1) FUZZY LOGIC
2) REINFORCEMENT LEARNING
3) NEURAL NETWORKS
4) DEEP LEARNING
APPLICATIONS OF AI IN WIRELESS COMMUNICATION (5G):
i) AI for 5G resource management, including spectrum resources, energy sources, cloud resources, computing resources and communication infrastructure.
ii) Help to predict problems like network collision, network overhead, multi - media traffic load.
iii) Coordinated multiple points transmission\reception, large scale antenna array and multiple hop relay are some applications in 5G.
FUTURE OF AI IN WIRELESS COMMUNIATION:
First let’s discuss about what’s Artificial Intelligence and what’s Wireless Communication?
Wireless communication is the communication where the data is transferred and delivered wirelessly. This is a broad term that incorporates all procedures and forms of connecting and communicating between two or more devices using wireless signal through wireless communication technologies and devices.
Artificial intelligence is the science which refers to the reflection of human intelligence in machine and are programmed to think like humans. AI makes it possible for machine to learn from experience and adjust to new inputs and perform human like tasks. AI machine decides the maximum probability of correct decision according to the environment.
The traffic dense will increase up to 1000 times in 5G because of growing of user data speed and growing of end user terminals. A promising method is to introduce artificial intelligence technology into network control and management instead of manual optimization process.
AI which includes machine learning, deep learning are well known technique in computer science discipline but now they started to emerge in wireless communication. Using AI, the networks are managed efficiently and performance is enhanced.
1) FUZZY LOGIC
2) REINFORCEMENT LEARNING
3) NEURAL NETWORKS
4) DEEP LEARNING
APPLICATIONS OF AI IN WIRELESS COMMUNICATION (5G):
i) AI for 5G resource management, including spectrum resources, energy sources, cloud resources, computing resources and communication infrastructure.
ii) Help to predict problems like network collision, network overhead, multi - media traffic load.
iii) Coordinated multiple points transmission\reception, large scale antenna array and multiple hop relay are some applications in 5G.
FUTURE OF AI IN WIRELESS COMMUNIATION:
AI is the powerful tool with potential applications areas like wireless signal processing, channel modeling and resource management. In future, AI will intelligently and fluently interact with human experts, providing them with clever explanations and answers.
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