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Performance Analysis of Coverage Analysis of Sub 6 GHz and mmWave 5G Networks
Implementation Plan:
----------------------------
Scenario 1: Using FR1 Parameters:
-----------------------------------------
Step 1: Initially, we construct a 5G network using 5G System Level Simulator (Vienna 5G System level Simulator) configuration: 1 base station at the center of geographic area of dense Urban deployment and 100 users distributed randomly (Poisson 2D Distribution ). BS antenna Height is 10 m or 15 m, UE antenna Height is 1.5 m as referenced in 3Gpp tr 38.
Step 2: Then, we will simulate and collect data such as received power, SINR, pathloss, and channel statistics from multiple chunks of the served links between BS and UE.
Step 3: Next, we perform channel modeling analysis including path loss, macroscopic fading, delay spread, angular spreads and K-factor based on collected data.
Step 4: Next, we compute derived independent SNR, spectral efficiency, and reconstruct per-user distance-based data for performance evaluation based on collected data.
Step 5: Next, we analyze coverage range and massive MIMO impact across FR1(1GHz, 5GHZ) frequency based on collected data.
Step 6: Finally, we plot performance for the following metrics:
6.1: Distance (m) vs. Received Power (dBm)
6.2: Distance (m) vs. SINR (dB)
6.3: Distance (m) vs. Pathloss (dB)
6.4: Distance (m) vs. Spectral Efficiency (bps/Hz)
6.5: Distance (m) vs. Coverage Probability (%)
6.6: CDF of SNR
6.7: CDF of K factor
6.8: CDF of RMS Delay spread
6.9: CDF of RMS Angular spreads
Scenario 2: Using FR2 Parameters:
------------------------------------------
Step 1: Initially, we construct a 5G network using 5G System Level Simulator (Vienna 5G System level Simulator) configuration: 1 base station at the center of geographic area of dense Urban deployment and 100 users distributed randomly (Poisson 2D Distribution ). BS antenna Height is 10 m or 15 m, UE antenna Height is 1.5 m as referenced in 3Gpp tr 38.
Step 2: Then, we will simulate and collect data such as received power, SINR, pathloss, and channel statistics from multiple chunks of the served links between BS and UE.
Step 3: Next, we perform channel modeling analysis including path loss, macroscopic fading, delay spread, angular spreads and K-factor based on collected data.
Step 4: Next, we compute derived independent SNR, spectral efficiency, and reconstruct per-user distance-based data for performance evaluation based on collected data.
Step 5: Next, we analyze coverage range and massive MIMO impact across FR2(12 GHZ, 28 GHZ, 50 GHz) frequency based on collected data.
Step 6: Finally, we plot performance for the following metrics:
6.1: Distance (m) vs. Received Power (dBm)
6.2: Distance (m) vs. SINR (dB)
6.3: Distance (m) vs. Pathloss (dB)
6.4: Distance (m) vs. Spectral Efficiency (bps/Hz)
6.5: Distance (m) vs. Coverage Probability (%)
6.6: CDF of SNR
6.7: CDF of K factor
6.8: CDF of RMS Delay spread
6.9: CDF of RMS Angular spreads
Software Requirements:
-----------------------------
1. Development Tool: Matlab-R2023a or above
2. Operating System: Windows-10 (64-bit) or above
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. 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 separate tool access for Vienna 5G SLS simulator, kindly provide us(Downloadable Link, file or package) ,otherwise we will work based on customized MATLAB based 5G SLS toolbox configurations. Kindly confirm us.
#mmWave #Sub6GHz #5GNetworks #WirelessCommunication
#CoverageAnalysis #NetworkCoverage #5GPerformance #Beamforming
#MATLAB #NetworkSimulation #IEEE#Sub6GHzVsmmWave #mmWave5G #5GCoverageAnalysis
#5GNetworkPerformance #WirelessNetworkResearch#Beamforming #MassiveMIMO #SmallCells #5GNR #RFEngineering
#NetworkOptimization #Latency #Throughput #spectrum
--------------------------------------
As your research partner, we offer an ideal roadmap to ensure your research success. Our commitment to upholding data policy, copyright policy, integrity policy, and privacy policy guarantees the integrity and confidentiality of your research work. Get tailored work done with perfectly aligned topic.
Research support contact our expertise team:
View us at : https://phdprime.com/
Mail us at : phdprimehelp@gmail.com
Contact us : +91-97 91 62 64 69
Видео Performance Analysis of Coverage Analysis of Sub 6 GHz and mmWave 5G Networks канала phdprime
----------------------------
Scenario 1: Using FR1 Parameters:
-----------------------------------------
Step 1: Initially, we construct a 5G network using 5G System Level Simulator (Vienna 5G System level Simulator) configuration: 1 base station at the center of geographic area of dense Urban deployment and 100 users distributed randomly (Poisson 2D Distribution ). BS antenna Height is 10 m or 15 m, UE antenna Height is 1.5 m as referenced in 3Gpp tr 38.
Step 2: Then, we will simulate and collect data such as received power, SINR, pathloss, and channel statistics from multiple chunks of the served links between BS and UE.
Step 3: Next, we perform channel modeling analysis including path loss, macroscopic fading, delay spread, angular spreads and K-factor based on collected data.
Step 4: Next, we compute derived independent SNR, spectral efficiency, and reconstruct per-user distance-based data for performance evaluation based on collected data.
Step 5: Next, we analyze coverage range and massive MIMO impact across FR1(1GHz, 5GHZ) frequency based on collected data.
Step 6: Finally, we plot performance for the following metrics:
6.1: Distance (m) vs. Received Power (dBm)
6.2: Distance (m) vs. SINR (dB)
6.3: Distance (m) vs. Pathloss (dB)
6.4: Distance (m) vs. Spectral Efficiency (bps/Hz)
6.5: Distance (m) vs. Coverage Probability (%)
6.6: CDF of SNR
6.7: CDF of K factor
6.8: CDF of RMS Delay spread
6.9: CDF of RMS Angular spreads
Scenario 2: Using FR2 Parameters:
------------------------------------------
Step 1: Initially, we construct a 5G network using 5G System Level Simulator (Vienna 5G System level Simulator) configuration: 1 base station at the center of geographic area of dense Urban deployment and 100 users distributed randomly (Poisson 2D Distribution ). BS antenna Height is 10 m or 15 m, UE antenna Height is 1.5 m as referenced in 3Gpp tr 38.
Step 2: Then, we will simulate and collect data such as received power, SINR, pathloss, and channel statistics from multiple chunks of the served links between BS and UE.
Step 3: Next, we perform channel modeling analysis including path loss, macroscopic fading, delay spread, angular spreads and K-factor based on collected data.
Step 4: Next, we compute derived independent SNR, spectral efficiency, and reconstruct per-user distance-based data for performance evaluation based on collected data.
Step 5: Next, we analyze coverage range and massive MIMO impact across FR2(12 GHZ, 28 GHZ, 50 GHz) frequency based on collected data.
Step 6: Finally, we plot performance for the following metrics:
6.1: Distance (m) vs. Received Power (dBm)
6.2: Distance (m) vs. SINR (dB)
6.3: Distance (m) vs. Pathloss (dB)
6.4: Distance (m) vs. Spectral Efficiency (bps/Hz)
6.5: Distance (m) vs. Coverage Probability (%)
6.6: CDF of SNR
6.7: CDF of K factor
6.8: CDF of RMS Delay spread
6.9: CDF of RMS Angular spreads
Software Requirements:
-----------------------------
1. Development Tool: Matlab-R2023a or above
2. Operating System: Windows-10 (64-bit) or above
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. 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 separate tool access for Vienna 5G SLS simulator, kindly provide us(Downloadable Link, file or package) ,otherwise we will work based on customized MATLAB based 5G SLS toolbox configurations. Kindly confirm us.
#mmWave #Sub6GHz #5GNetworks #WirelessCommunication
#CoverageAnalysis #NetworkCoverage #5GPerformance #Beamforming
#MATLAB #NetworkSimulation #IEEE#Sub6GHzVsmmWave #mmWave5G #5GCoverageAnalysis
#5GNetworkPerformance #WirelessNetworkResearch#Beamforming #MassiveMIMO #SmallCells #5GNR #RFEngineering
#NetworkOptimization #Latency #Throughput #spectrum
--------------------------------------
As your research partner, we offer an ideal roadmap to ensure your research success. Our commitment to upholding data policy, copyright policy, integrity policy, and privacy policy guarantees the integrity and confidentiality of your research work. Get tailored work done with perfectly aligned topic.
Research support contact our expertise team:
View us at : https://phdprime.com/
Mail us at : phdprimehelp@gmail.com
Contact us : +91-97 91 62 64 69
Видео Performance Analysis of Coverage Analysis of Sub 6 GHz and mmWave 5G Networks канала phdprime
5G mmWave Sub6GHz 5GNetworks WirelessCommunication CoverageAnalysis NetworkCoverage 5GPerformance Beamforming MATLAB NetworkSimulation IEEE Sub6GHzVsmmWave mmWave5G 5GCoverageAnalysis 5GNetworkPerformance WirelessNetworkResearch MassiveMIMO SmallCells 5GNR RFEngineering NetworkOptimization Latency Throughput Spectrum
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22 апреля 2026 г. 20:34:34
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