Performance Analysis of Next Generation Wireless Networks

Performance Analysis of Next Generation Wireless Networks

Performance Analysis of Next Generation Wireless Networks

Implementation plan:
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Scenario 1; (With Agentic AI)
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Step 1: Initially, we constructed a 6G-enabled network with 50 Users, 2 base stations, and 1 cloud server .

Step 2: Then, we collected simulated network data such as traffic load, energy usage, and signal strength from all User nodes.

Step 3: Next, we implemented constrained Agentic AI models to optimize energy consumption and ensure secure data handling.

Step 4: Next, we applied Neural Radio Protocol Stack (NRPS) generation using Agentic AI to adapt communication protocols dynamically.

Step 5: Then, we enabled decentralized routing using autonomous cognitive agents for data forwarding.

Step 6: Then, we analyzed the performance of the system under varying mobility, interference, and load conditions.

Step 7: Finally, we plot performance for the following metrics:

7.1: Number of Users vs. Latency (ms)
7.2: Number of Users vs. SNR (dB)
7.3: Number of Users vs. Packet Delivery Ratio (%)
7.4: Number of Users vs. Retransmission Rate (%)

Scenario 2 (Without Agentic AI)
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Step 1: Initially, we constructed a 6G-enabled network with 50 Users, 2 base stations, and 1 cloud server .

Step 2: Then, we collected simulated network data such as traffic load, energy usage, and signal strength from all User nodes.

Step 3: Next, we implemented an energy-aware optimization algorithm to reduce power usage and enforce basic security rules.

Step 4: Then, we enabled decentralized routing using a lightweight distributed algorithm for data forwarding.

Step 5: Then, we analyzed the performance of the system under varying mobility, interference, and load conditions.

Step 6: Finally, we plot performance for the following metrics:

6.1: Number of Users vs. Latency (ms)
6.2: Number of Users vs. SNR (dB)
6.3: Number of Users vs. Packet Delivery Ratio (%)
6.4: Number of Users vs. Retransmission Rate (%)

Software Requirements:
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1. Development Tool: OMNeT++ 4.6 or above
2. Operating System: Windows 10 (64-bit) or above

Note
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1) If the plan does not meet your requirements, provide detailed steps, parameters, models, or expected results in advance. Once implemented, changes won’t be possible without prior input; otherwise, we’ll proceed as per our implementation plan.

2) If the plan satisfies your requirement, Please confirm with us.

3) Project based on Simulation only, not a real time project.

4) Please understand that any modifications made to the confirmed implementation plan will not be made after the project development.

Live Tasks
Technology Ph.D MS M.Tech
NS2 75 117 95
NS3 98 119 206
OMNET++ 103 95 87
OPNET 36 64 89
QULANET 30 76 60
MININET 71 62 74
MATLAB 96 185 180
LTESIM 38 32 16
COOJA SIMULATOR 35 67 28
CONTIKI OS 42 36 29
GNS3 35 89 14
NETSIM 35 11 21
EVE-NG 4 8 9
TRANS 9 5 4
PEERSIM 8 8 12
GLOMOSIM 6 10 6
RTOOL 13 15 8
KATHARA SHADOW 9 8 9
VNX and VNUML 8 7 8
WISTAR 9 9 8
CNET 6 8 4
ESCAPE 8 7 9
NETMIRAGE 7 11 7
BOSON NETSIM 6 8 9
VIRL 9 9 8
CISCO PACKET TRACER 7 7 10
SWAN 9 19 5
JAVASIM 40 68 69
SSFNET 7 9 8
TOSSIM 5 7 4
PSIM 7 8 6
PETRI NET 4 6 4
ONESIM 5 10 5
OPTISYSTEM 32 64 24
DIVERT 4 9 8
TINY OS 19 27 17
TRANS 7 8 6
OPENPANA 8 9 9
SECURE CRT 7 8 7
EXTENDSIM 6 7 5
CONSELF 7 19 6
ARENA 5 12 9
VENSIM 8 10 7
MARIONNET 5 7 9
NETKIT 6 8 7
GEOIP 9 17 8
REAL 7 5 5
NEST 5 10 9
PTOLEMY 7 8 4

Related Pages

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Unlimited Network Simulation Results available here.

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