Performance Analysis of Spectral Efficiency Trade off in 6G Network
Step 2: Then simulate and collect data such as received power, SINR, pathloss, and channel statistics from multiple 2 frames of the served links between BS and UE with and without interference.
Step 3: Next, we perform per slice user performance evaluation such as SNR, SINR, Spectral Efficiency, Throughput, Energy Efficiency, Spectral Efficiency, Latency, Reliability, … etc.
Step 4: Next analyze coverage range and massive MIMO impact across frequencies (refer to the provided table of parameters) based on collected data.
Step 5: Finally, plot performance for the following metrics
5.1: Distance (m) vs. SNR (dB)
5.2: Distance (m) vs. SINR (dB)
5.3: Distance (m) vs. Pathloss (dB)
5.4: Distance (m) vs. Spectral Efficiency (bps/Hz)
5.5: Distance (m) vs. Energy Efficiency (%)
5.6: Distance (m) vs. BLER (%)
5.7: Distance (m) vs. Latency (ms)
5.8: Distance (m) vs. Received Power (dBm)
Scenario 2: (With FR2 Parameters)
Step 1: Initially construct a 6G network using pre 6G Link Level Simulator Configuration: 1 base station at the center of geographic area of (200m by
200 m) dense Urban deployment and 3 different Slice users distributed randomly. BSantenna Height is 10m or 15 m, UE antenna Height is 1.5 m as referenced in 3Gpp tr 38, additionally we add an interference Fixed Service base station located at multipleInter Site Distances away for example [1*ISD 2*ISD 3*ISD]. To calculate the performance evaluation of slice users.
Step 2: Then simulate and collect data such as received power, SINR, pathloss, and channel statistics from multiple 2 frames of the served links between BS and UE with and without interference.
Step 3: Next, we perform per slice user performance evaluation such as SNR, SINR, Spectral Efficiency, Throughput, Energy Efficiency, Spectral Efficiency, Latency, Reliability, … etc.
Step 4: Next analyze coverage range and massive MIMO impact across frequencies (refer to the provided table of parameters) based on collected data.
Step 5: Finally, plot performance for the following metrics
5.1: Distance (m) vs. SNR (dB)
5.2: Distance (m) vs. SINR (dB)
5.3: Distance (m) vs. Pathloss (dB)
5.4: Distance (m) vs. Spectral Efficiency (bps/Hz)
5.5: Distance (m) vs. Energy Efficiency (%)
5.6: Distance (m) vs. BLER (%)
5.7: Distance (m) vs. Latency (ms)
5.8: Distance (m) vs. Received Power (dBm)
Note:
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.
2) Kindly ensure that any missing configurations or specifications are clearly outlined in the plan before confirming.
3) 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.
4) If the plan satisfies your requirement, Please confirm with us.
5) Project based on Simulation only.
| 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 |
