The Physical Uplink Shared Channel (PUSCH) is the main physical channel used by a 5G NR UE to send user data toward the gNB. For a protocol test engineer, however, PUSCH is much more than “the uplink data channel.” 3GPP defines the PUSCH physical-layer processing and resource mapping primarily across TS 38.211, TS 38.212, TS 38.213 and TS 38.214, while TS 38.331 carries the RRC configuration used by the UE. 1. What exactly is PUSCH? In simple terms: PUSCH = the physical upl

1. Introduction In 5G NR, precoding is the mathematical operation that converts the spatial layers of PDSCH data into signals for the available transmit antenna ports / RF chains. Beamforming is what those weighted signals ultimately produce in space. The key relationship is x=Ws where: s∈C^(N_L×1) is the vector of data symbols on the PDSCH layers, W∈C^(N_TX×N_L ) is the precoding matrix, and x∈C^(N_TX×1) contains the signals transmitted through the antenna ports/RF chain

What this tool is This tool that turns the rach-ConfigCommon / rach-ConfigGeneric fields broadcast in SIB1 into a visual picture of the actual time–frequency resource grid the UE's PRACH preamble is transmitted on — which resource blocks, which subcarriers, which subframe, slot and OFDM symbols. It's meant for RAN/protocol engineers who want to sanity-check a PRACH configuration, explain the config to someone else, or build intuition for how SIB1 parameters map onto the physi

Introduction Unlike 4G LTE, which relied on a fixed Subcarrier Spacing (SCS) and a static subframe duration, 5G New Radio (NR) introduces a flexible OFDM numerology frame structure scaling as Δf=15×2^μ kHz. Selecting the optimal numerology parameter (μ∈{0,1,2,3,4}) governs a direct trade-off between coverage geometry, PHY-layer latency, Doppler resilience, and hardware processing overhead. 1. Fundamentals of 5G Flexible Numerology 3GPP TS 38.211 specifies the mathematical f

eAxC_ID Composer / Decomposer is an interactive tool for working with O-RAN fronthaul eAxC_IDs, where the 16-bit identifier is split into DU_Port_ID, BS_ID, CC_ID, and RU_Port_ID fields. Instead of hardcoding a fixed bit layout, the tool lets you define each field's bitmask yourself, so it adapts to any O-RAN eAxC_ID convention — including non-contiguous bit assignments — and flags overlaps or uncovered bits in real time on a live bit-grid. It supports two workflows: Construc

Overview: A 3GPP-aligned, multi-layer throughput estimation tool covering the full gNB protocol stack from PHY to PDCP. Built for RF engineers, protocol testers, and RAN architects who need quick but specification-accurate numbers without opening a spreadsheet or reading 38.214 line by line. Tool Features 4-layer protocol stack Calculates throughput independently at PHY, MAC, RLC, and PDCP — each with its own overhead model per 3GPP specs, not a single flat deduction. All thr

5G NR Resource Grid Visualizer is an interactive tool that renders the complete time-frequency structure of a 5G New Radio radio frame (10ms) across configurable bandwidths from 5–100 MHz and subcarrier spacings of 15/30/60/120 kHz, automatically computing the correct number of resource blocks per 3GPP TS 38.101. It maps all major physical channels and signals — SSB (PSS/SSS/PBCH), CORESET 0, PDCCH, PDSCH, PUSCH, PUCCH, PRACH, and both DL/UL DMRS — onto the resource grid at t

Introduction The 5G NR SSB ARFCN Calculator is a comprehensive web-based tool designed for telecommunications engineers, network planners, and RF specialists working with 5G New Radio (NR) networks. This calculator performs precise conversions and calculations related to Synchronization Signal Blocks (SSB) and Absolute Radio Frequency Channel Numbers (ARFCN) based on 3GPP specifications. What is SSB? The Synchronization Signal Block (SSB) is a fundamental component in 5G NR t

What this tool does The O-RAN Fronthaul Delay Management Tool helps engineers translate O-RU timing capabilities + transport delay budgets into valid O-DU configuration ranges—fully aligned with O-RAN WG4 CUS-plane (Open Fronthaul) timing relationships. Instead of guessing delay values or manually working through inequalities, the tool: Applies WG4 constraint equations (DL/UL, U-plane & C-plane) Computes valid bounds (min/max) for O-DU parameters Flags invalid timing windows

Overview This interactive tool demonstrates industry-standard 5G massive MIMO beamforming based on 3GPP specifications. It visualizes how phased antenna arrays create directional beams through constructive interference, allowing users to understand the fundamental principles behind modern cellular base stations. Key Capabilities 1. Configurable Array Parameters: Antenna elements: 8 to 256 (dual-polarized: -45° and +45°) Antenna spacing: 0.3λ to 1.0λ (typically 0.5λ to avoid g

1.Introduction In 5G baseband / protocol validation, understanding MAC PDU decoding is critical — especially when debugging uplink scheduling issues, BSR anomalies, TA problems, or HARQ behavior in logs. This article provides: NR MAC PDU structure (DL & UL) Subheader parsing logic LCID types and mapping MAC SDU vs MAC CE types UE log decoding walkthrough Comparison with LTE MAC PDU Real-time debugging perspective MAC Layer in 5G NR The MAC layer sits between: RLC (above) PH

Introduction Power-saving features in 5G (including O-RAN deployments) are needed mainly to improve energy efficiency and network sustainability. 1. Reduce operational cost (OPEX): Base stations—especially massive MIMO O-RUs—consume significant electricity, so reducing unnecessary transmissions lowers energy bills for operators. 2. Handle variable traffic load: Network traffic varies over time (night vs peak hours). Power-saving allows parts of the radio (RF chains,

1. Introduction 5G NR fundamentally redesigned the user-plane architecture by introducing SDAP (Service Data Adaptation Protocol) above PDCP (Packet Data Convergence Protocol). LTE used a bearer-based QoS model. 5G uses a flow-based QoS model. This single architectural shift explains: Why SDAP was introduced Why PDCP evolved Why 5G scales better than LTE How URLLC, slicing, and dual connectivity are supported This article provides: Deep architectural explanation LTE vs 5G com

1. Introduction The exponential growth in mobile data traffic, driven by 4K/8K video, cloud gaming, AR/VR, industrial IoT, and private 5G networks, has forced wireless systems to evolve beyond traditional antenna systems. One of the most transformative technologies enabling 5G performance is Massive MIMO (Multiple Input Multiple Output). Unlike conventional MIMO (2x2, 4x4, 8x8), Massive MIMO scales antenna elements to tens or even hundreds at the base station, enabling spatia

1. Introduction Power control is one of the least visible but most influential mechanisms in cellular radio systems. In 5G NR, it directly impacts: Uplink throughput and latency Cell-edge user experience Inter-cell interference UE battery life Massive MIMO beam efficiency Network energy consumption (Green RAN goals) Unlike LTE, 5G NR operates with: Very wide bandwidths Beam-based transmission Dynamic TDD Cloud-native and O-RAN architectures As a result, power control in 5G NR

1. Introduction: Why RLC Still Matters in 5G NR When discussions around 5G performance arise, attention usually gravitates toward massive MIMO, beamforming, or spectrum efficiency. Yet, in real networks, user experience often degrades due to issues far removed from PHY or antennas. One of the most common root causes lies in the Radio Link Control (RLC) layer. In 5G NR, RLC sits between PDCP and MAC, just like LTE. But assuming it is “unchanged from LTE” is a mistake. While t

1. Introduction Medium Access Control (MAC) scheduling is one of the most critical real-time functions in a 5G NR gNB. It directly determines throughput, latency, fairness, spectral efficiency, and QoS compliance. Unlike LTE, 5G MAC scheduling operates in a much more complex design space due to: Flexible numerology (multiple SCS) Mini-slots and slot aggregation Beam-based transmissions Massive MIMO QoS flows (5QI-driven scheduling) URLLC pre-emption and puncturing Dynamic TDD

1. Introduction Channel coding is one of the most fundamental building blocks of the 5G NR physical layer. It directly determines: Block Error Rate (BLER) Throughput at high MCS Latency predictability UE power consumption Hardware scalability in gNB and UE Unlike LTE, which relied almost exclusively on Turbo codes, 5G NR deliberately replaced Turbo codes with Low Density Parity Check (LDPC) codes for data channels and Polar codes for control channels. LDPC Coding Chain in 5

1. Introduction Modern 5G radio access networks have reached a level of complexity where traditional automation approaches are no longer sufficient. While machine learning has been widely adopted in telecom analytics, most deployed solutions still behave as passive systems: they ingest data, run inference, and output a score, label, or alert. In practice, experienced RAN engineers do not work this way. They observe symptoms, form hypotheses, validate those hypotheses by check

Private 5G (also referred to as Non-Public Networks — NPNs) is the deployment of 5G technologies for the exclusive use of an organization, campus, industrial site, port or stadium. Unlike public/macrocell 5G, private 5G is designed to deliver dedicated capacity, stronger security controls, low and deterministic latency, and granular service control for vertical-specific applications (robotics, automation, AR/VR, mission-critical communications). 1. What is Private 5G What it