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Massive MIMO

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  MIMO Beamforming technology focuses a wireless signal on a specific receiving device, instead of dispersing it in all directions. This targeted approach ensures faster and more reliable connections. By combining signals from multiple array elements, beamforming precisely directs the signal toward a particular direction or region. A sensor array consists of multiple sensors arranged in a specific geometric pattern to capture and process incoming data signals or electromagnetic waves. This illustration represents a linear array with a uniform spacing of 'd' between the sensors.

Sionna Mindmap

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5G Core Architecture

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  Hello everyone! ๐Ÿ‘‹Welcome to " Bits and Bytes of Wireless ". ๐ŸŽฏ Today's Topic: Exploring the 5G Technology Core Architecture. Topics Covered ๐ŸŒ€ 5G Core Network Functions ๐Ÿ“ก 5G Core Network Protocols ๐ŸŽ›️ 5G Network Slicing (NS) ☁️ 5G Core Network Deployment and Operations 5G System: High Level This is the big picture of how 5G networks function to provide seamless connectivity and advanced services. 1. Key Components of the 5G System: UE (User Equipment): The end-user device, such as smartphones, IoT devices, or industrial equipment, connects to the 5G network. It communicates with the network through the radio part of 5G, called 5G NR (New Radio). NG-RAN (Next-Generation Radio Access Network): The gNB (5G Base Station) is a critical part of the NG-RAN and is responsible for wireless communication between the UE and the network. The New Radio (NR) supports features like higher frequencies, wider bandwidths, and advanced technologies like beamforming and massive MIMO. 5G...

Variational Autoencoders

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  A Variational Autoencoder (VAE) is a generative model that learns a probabilistic latent representation of input data.  Unlike traditional autoencoders, which focus solely on reconstructing the input, VAEs aim to capture the underlying structure and variability of the data. This is achieved by learning a continuous probability distribution (typically Gaussian) over the latent space. By encoding input data into this distribution rather than a fixed point, VAEs can generate new, diverse, and realistic data points by sampling from the learned distribution. This capability makes VAEs valuable for tasks such as image synthesis, data augmentation, and anomaly detection. Moreover, the continuous nature of the latent space enables meaningful interpolation between data points. A Variational Autoencoder (VAE) is a machine learning model that generates new data by learning to compress and decompress information.  Unlike traditional autoencoders, VAEs don't just learn to copy data;...

3GPP - 3rd Generation Partnership Project

1. Cellular Standards (2G/3G/LTE/LTE-Advanced/5G-NR) Overview of cellular network generations and their evolution from basic voice services to advanced data-driven networks. 2. 2G (GSM) and EDGE Technology GSM: Introduction of digital voice services. EDGE (Enhanced Data Rates for GSM Evolution): Enhancement of GSM, providing basic data services (sometimes referred to as "2.5G"). 3. 3G (UMTS) and WCDMA Technology UMTS (Universal Mobile Telecommunications System): Introduction of mobile broadband. WCDMA (Wideband Code Division Multiple Access): The radio access technology used in 3G networks, enabling multiple users to share the same frequency band. 4. HSPA (High-Speed Packet Access) Technology Enhancement of WCDMA, providing higher data speeds with HSDPA (Downlink) and HSUPA (Uplink). 5. LTE (4G) Technology LTE Overview: Introduction of high-speed, all-IP networks, improving on the data rates and latency offered by 3G. LTE-Advanced: Enhancements such as carrier aggregation f...

Physical Layer: Implement Encryption or Jamming-Resistant Modulation Technique

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Data Security at the Physical Layer: A Case Study To study the impact of jamming on secure communication, I will explore the following techniques: Basic Encryption: Simple XOR encryption was used to demonstrate the concept of physical layer security. Jamming Simulation: A specific frequency band was targeted for jamming, mimicking real-world interference scenarios. Frequency Hopping: To counteract jamming, the transmission frequency was dynamically changed. Advanced Encryption: AES-128 encryption was employed to enhance the security of the transmitted data. Modulation: QAM modulation was used to map digital data onto analog signals for transmission. Layered Encryption: A layered approach combining symmetric and asymmetric encryption was investigated to provide robust security. Adaptive Modulation: The modulation scheme was dynamically adjusted to optimize performance based on channel conditions. Error Correction: Hamming codes were used to introduce redundancy into the ...