Gigayasa Wireless

BWSim-5G

System level simulator for research and development in 5G and beyond wireless networks

BWSim-5G is a system-level-simulator for 5G wireless networks consisting of randomly dropped UEs and strategically located base stations for various system terrains including indoor, outdoor, small cell or large cell.
Tool considers various input parameters and network performance parameters to evaluate the performance and make design trade-off questions at an early stage of network configuration.
Tool supports Link-level, Multi-cell, System-level simulations and is based upon R-16 of 3GPP standards and has been calibrated with submissions of several SDOs of 3GPP.

BWSim-5G

System level simulator for research and development in 5G and beyond wireless networks
BWSim-5G is a system-level-simulator for 5G wireless networks consisting of randomly dropped UEs and strategically located base stations for various system terrains including indoor, outdoor, small cell or large cell.
Tool considers various input parameters and network performance parameters to evaluate the performance and make design trade-off questions at an early stage of network configuration.
Tool supports Link-level, Multi-cell, System-level simulations and is based upon R-16 of 3GPP standards and has been calibrated with submissions of several SDOs of 3GPP.

Features

Graphical Users Interface

The Simulator is integrated with a graphical user interface (GUI) which simplifies the process of configuring numerous interrelated parameters in 5G for the simulations. The GUI provides visual feedback for errors in a parameter input and captures the relations and dependencies between the parameters to assist you in setting the configurations. The Simulator allows the users to run multiple simulations one after another manually or automatically and to compare the results side by side in a single plot.

Graphical Users Interface

The Simulator is integrated with a graphical user interface (GUI) which simplifies the process of configuring numerous interrelated parameters in 5G for the simulations. The GUI provides visual feedback for errors in a parameter input and captures the relations and dependencies between the parameters to assist you in setting the configurations. The Simulator allows the users to run multiple simulations one after another manually or automatically and to compare the results side by side in a single plot.
5G uses forward error correction at the transmitter and adapts modulation and code rate (link adaptation) to counter the volatility and dynamic nature of wireless channels.

Adaptive Networks

5G uses forward error correction at the transmitter and adapts modulation and code rate (link adaptation) to counter the volatility and dynamic nature of wireless channels. Simulator implements the link adaptation using a standardized parameter termed channel quality index (CQI). Further, the Simulator’s rank adaptation feature allows the transmitter to select the suitable number of layers for SU-MIMO and MUMIMO to avoid degradation from transmitting too many layers.
5G uses forward error correction at the transmitter and adapts modulation and code rate (link adaptation) to counter the volatility and dynamic nature of wireless channels.

Adaptive Networks

5G uses forward error correction at the transmitter and adapts modulation and code rate (link adaptation) to counter the volatility and dynamic nature of wireless channels. Simulator implements the link adaptation using a standardized parameter termed channel quality index (CQI). Further, the Simulator’s rank adaptation feature allows the transmitter to select the suitable number of layers for SU-MIMO and MUMIMO to avoid degradation from transmitting too many layers.

Simulation Key Performance Parameters

In link level simulations, the users control the signal to noise ratio (SNR) of the link and evaluate the performance including Bit error rate (BER), Spectral Efficiency, Block Error Rate (BLER) and Throughput.
System level simulations compute Cumulative Distribution Function (CDF) of Throughput/Spectral Efficiency/BLER, Spectral Efficiency etc. to evaluate system performance.
Multi-cell simulation computes parameters related to channel/link including CDF of Transmit Antenna Gain, Link Gain, Channel Gain, Signal to Interference and Noise Ratio (SINR), Reference Signal Received Power (RSRP) and Reference Signal Received Quality (RSRQ).

Antenna Models​

Antenna radiation pattern plays a crucial role in Massive MIMO’s ability to exploit spatial multiplexing and beamforming gain. The tool allows simulation using parabolic and omni directional antennas. However, custom antenna patterns can also be configured for evaluation using system level simulations.​
Antenna radiation pattern plays a crucial role in Massive MIMO’s ability to exploit spatial multiplexing and beamforming gain.
Antenna radiation pattern plays a crucial role in Massive MIMO’s ability to exploit spatial multiplexing and beamforming gain.

Antenna Models​

Antenna radiation pattern plays a crucial role in Massive MIMO’s ability to exploit spatial multiplexing and beamforming gain. The tool allows simulation using parabolic and omni directional antennas. However, custom antenna patterns can also be configured for evaluation using system level simulations.​

Multiple Input Multiple Output (MIMO) Systems

5G networks can spatially multiplex multiple layers/streams by exploiting massive MIMO and can be equipped with hundreds of antennas. MIMO implementation requires the availability of Channel State Information (CSI) which can be acquired either based on reciprocity or based on feedback, along with Codebook Type I & Type-II all of which are supported by Simulator.

Multiple Input Multiple Output (MIMO) Systems

5G networks can spatially multiplex multiple layers/streams by exploiting massive MIMO and can be equipped with hundreds of antennas. MIMO implementation requires the availability of Channel State Information (CSI) which can be acquired either based on reciprocity or based on feedback, along with Codebook Type I & Type-II all of which are supported by Simulator.

System Terrains​

3GPP has defined different indoor and outdoor terrains for study and evaluation including Rural Macro, Urban Macro, Urban Micro, Indoor Hotspot and Indoor Factory. Simulator supports all these terrain channel models including hexagonal & rectangular layouts as well as inter-site distance, base-station heights, number of sites and UE distribution.​

System Terrains​

3GPP has defined different indoor and outdoor terrains for study and evaluation including Rural Macro, Urban Macro, Urban Micro, Indoor Hotspot and Indoor Factory. Simulator supports all these terrain channel models including hexagonal & rectangular layouts as well as inter-site distance, base-station heights, number of sites and UE distribution.​

Simulation Key Performance Parameters

  • Link Level Simulation​
  • System Level Simulation​
  • Multi-cell Simulation​

In link level simulations, the users control the signal to noise ratio (SNR) of the link and evaluate the performance including Bit error rate (BER), Spectral Efficiency, Block Error Rate (BLER) and Throughput.

A system level simulation implements the complete system (with various UEs and BSs) consisting of multiple modules and layers on a software and allows the user to customize these entities to suit the purpose of their simulations.

Multi-cell simulation computes parameters related to channel/link including CDF of Transmit Antenna Gain, Link Gain, Channel Gain, Signal to Interference and Noise Ratio (SINR), Reference Signal Received Power (RSRP) and Reference Signal Received Quality (RSRQ).

Antenna Models

Antenna radiation pattern plays a crucial role in Massive MIMO's ability to exploit spatial multiplexing and beamforming gain. The tool allows simulation using parabolic and omni directional antennas. However, custom antenna patterns can also be configured for evaluation using system level simulations.

Multiple Input Multiple Output (MIMO) Systems

5G networks can spatially multiplex multiple layers/streams by exploiting massive MIMO and can be equipped with hundreds of antennas. MIMO implementation requires the availability of Channel State Information (CSI) which can be acquired either based on reciprocity or based on feedback, along with Codebook Type I & Type-II all of which are supported by Simulator.

System Terrains

3GPP has defined different indoor and outdoor terrains for study and evaluation including Rural Macro, Urban Macro, Urban Micro, Indoor Hotspot and Indoor Factory. Simulator supports all these terrain channel models including hexagonal & rectangular layouts as well as inter-site distance, base-station heights, number of sites and UE distribution.

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