System, method, and apparatus for providing optimized network resources
Systems, methods, and apparatuses for providing optimization of network resources. The system is operable to monitor the electromagnetic environment, analyze the electromagnetic environment, and extract environmental awareness of the electromagnetic environment. The system extracts the environmental awareness of the electromagnetic environment by including customer goals. The system is operable to use the environmental awareness with the customer goals and/or user defined policies and rules to extract actionable information to help the customer optimize the network resources.
1 . An apparatus for optimization of spectrum utilization in an electromagnetic environment, comprising:
at least one data analysis engine operable to analyze measured data from the electromagnetic environment to create analyzed data;
wherein the at least one data analysis engine includes an artificial intelligence (AI) agent;
wherein the AI agent is operable to make at least one prediction about the electromagnetic environment based on the analyzed data; and
wherein the AI agent is operable to dynamically optimize Layer 1 (L1), Layer 2 (L2), and Layer 3 (L3) functions and parameters using the at least one prediction.
2 . The apparatus of claim 1 , wherein the at least one data analysis engine is operable to generate and select at least one parameter to store in a parameter block based on the measured data.
3 . The apparatus of claim 2 , wherein the AI agent is operable to utilize AI and/or machine learning (ML) to dynamically adjust to the at least one parameter.
4 . The apparatus of claim 1 , further comprising at least one multi-network orchestration module operable to manage simultaneous operation of at least two wireless networks that contain at least two wireless signals.
5 . The apparatus of claim 4 , wherein the at least one multi-network orchestration module is operable to prioritize network traffic based on demand.
6 . The apparatus of claim 4 , wherein the at least one multi-network orchestration module allocates spectrum resources based on real-time network traffic demands and quality of service (QoS) requirements.
7 . The apparatus of claim 1 , further comprising at least one interference mitigation engine in communication with the AI agent.
8 . The apparatus of claim 1 , further comprising at least one smart contract engine that utilizes blockchain technology to facilitate dynamic spectrum leasing and sharing between at least two telecommunication operators.
9 . An apparatus for optimization of spectrum utilization in an electromagnetic environment, comprising:
at least one data analysis engine operable to analyze measured data from the electromagnetic environment to create analyzed data, wherein the analyzed data comprises at least one parameter;
wherein the at least one data analysis engine includes an artificial intelligence (AI) agent;
wherein the AI agent is operable to perform pattern comparison on the analyzed data based at least in part on the at least one parameter;
wherein the AI agent is operable to optimize Layer 1 (L1), Layer 2 (L2), and Layer 3 (L3) functions and parameters based on the pattern comparison.
10 . The apparatus of claim 9 , wherein the analyzed data includes at least one wireless signal.
11 . The apparatus of claim 9 , further comprising at least one smart contract engine operable to facilitate dynamic spectrum leasing between at least two telecommunication operators.
12 . The apparatus of claim 9 , further comprising at least one interference mitigation engine in communication with the AI agent.
13 . The apparatus of claim 9 , further comprising a user-centric spectrum management module operable to personalize network performance enhancements.
14 . The apparatus of claim 13 , wherein the personalized network enhancements are based on at least one user need.
15 . The apparatus of claim 14 , wherein the at least one user need includes low-latency connections and/or high-bandwidth requirements.
16 . A method for optimization of spectrum utilization in an electromagnetic environment, comprising:
analyzing measured data from the electromagnetic environment to create analyzed data with at least one data analysis engine;
creating at least one prediction about the electromagnetic environment with an artificial intelligence (AI) agent based on the analyzed data using statistical learning techniques and/or control theory; and
optimizing Layer 1 (L1), Layer 2 (L2), and Layer 3 (L3) functions and parameters based on the at least one prediction.
17 . The method of claim 16 , wherein the AI agent utilizes at least one AI algorithm and/or machine learning (ML) algorithm to refine a training model and adjust at least one parameter.
18 . The method of claim 16 , wherein the AI agent learns from previous spectrum allocation decisions.
19 . The method of claim 16 , further comprising at least one smart contract engine managing dynamic spectrum leasing between at least two telecommunication operators.
20 . The method of claim 19 , wherein the at least two telecommunication operators share spectrum resources.