Performance Analysis of Long Zadoff Chu for RedCap Positioning with SRS Frequency
Implementation Plan:
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Step 1: Initially, we constructed a 5G NR RedCap positioning design with RedCap 30 UEs and 2 gNBs and UL-SRS.
Step 2: Then, we simulate and collect signal data using 5G Network dataset.
Step 3: Next, we generate frequency-hopped SRS signals using different hopping patterns using GPP specifications based on collected data .
Step 4: Next, we apply OFDM modulation and power amplification algorithms to obtain time-domain SRS signals based on collected data.
Step 5: Next, we detect the PAPR behavior of long ZC sequences under frequency hopping patterns based on collected data.
Step 6: Next, we analyze the impact of sequence length on PAPR characteristics for RedCap positioning based on collected data.
Step 7: Finally, we plot performance for the following metrics:
7.1: Number of UEs vs. Peak-to-Average Power Ratio (dB)
7.2: Number of UEs vs. Average Transmit Power (dBm)
7.3: Number of UEs vs. Power Amplifier Efficiency (%)
7.4: Number of UEs vs. Error Vector Magnitude (%)
7.5: Number of UEs vs. SRS Detection Probability (%)
Software Requirements:
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1. Development Tool: OMNET 5.6 or above with INET
2. Operating System: Windows-10 (64-bit) or above
Dataset:
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Link : https://www.kaggle.com/datasets/vinothkannaece/5g-network-data
Note:
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1) If the proposed plan does not fully align with your requirements, please provide all necessary details—including steps, parameters, models, and expected outcomes—in advance. Kindly ensure that any missing configurations or specifications are clearly outlined in the plan before confirming.
2) If there’s no built-in solution for what the project needs, we can always turn to reference models, customize our own, different math models or write the code ourselves to fulfil the process.
3) If the plan satisfies your requirement, Please confirm with us.
4) Project based on Simulation only.
5) If you have any changes in the dataset,kindly provide before confirmation and implement it.
| 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 |