Skip to main content

What is the process of beamforming in MIMO / Massive MIMO systems?



Beamforming is a technology that has been around for years. Beamforming is a technique for focusing a signal in a specific direction to be received at maximum gain at the receiver side. Because signal transmission from the transmitter to the receiver is directional, the receiver receives a greater signal in this process. When we send a signal from the transmitter to the receiver, the transmitter antenna spreads the signal out in an omnidirectional pattern. It'll be much easier if you've observed an antenna's radiation pattern. Using a directional beam, you can think of beamforming as directional communication between a transmitter and receiver.

More than one antenna element is required to form a beam. They will, of course, be closely spaced for proper beam forming. The resultant phase of the signals will be fixed when we send signals from multiple nearby antennas. Simply put, directional communication is possible because the signal transmission on one side is stronger than on the other, as opposed to omnidirectional transmission.


1. Beamforming in MIMO:

We can use a MIMO system or a Massive MIMO system for better beam formation. Antennas (antenna elements) are close together here. Antenna elements are typically spaced at half-wavelength intervals. When we transmit the same signal from several antennas in a multiple input multiple output (MIMO) system, it generates a beam to the receiver in a specific direction, allowing the receiver to receive a stronger signal. It also boosts the signal-to-noise ratio (SNR) at the receiver end.
On the other hand, spatial multiplexing is one of the most essential characteristics of MIMO systems. As a result, we can send multiple data streams to the transmitter and receiver at the same time. As a result, we will be able to reach higher data rates. It will be easier to understand if you use an example. Assume there is only one transmitter and receiver antenna, and they communicate at a data rate of 150 kbps. There are numerous simultaneous data streams between the transmitter and receiver if there are multiple antennas on the transmitter and receiver sides or if MIMO antennas are available. There are two data streams available at the same time between the transmitter and the receiver. Then the communication speed between them will be two times faster than before. Then it'll be around 300 kbps.

When more antenna elements are close together, we can produce a more powerful narrow beam. There are hundreds of antenna elements in large MIMO. As a result, we can use massive MIMO to create a narrower beam. Conversely, if we broadcast signal bits at higher frequencies, we can also obtain a smaller beam. For example, in the case of 60 GHz communication rather than 28 GHz extremely high frequency (EHF) communication, we can produce a narrower beam utilizing the same size MIMO antenna.


Figure: A hybrid beamforming example using a 64 x 16 MIMO system and 4 RF chains functioning at both TX and RX at 28 GHz


2. Various Types of Beamforming in MIMO:

During the beamforming process, some issues may develop. Internal interference between multiple data streams transmitted from many antennas in a MIMO system between transmitter and receiver can be a big issue. As a result, we'll need to use a pre-coding strategy to eliminate interference between many data streams. There are various techniques for pre-coding. We'll talk about it later.

Analog, digital, and hybrid beamforming are the main examples of beamforming techniques. Beam steering is used for analog beam forming. Digital beam forming can regulate a signal's amplitude and phase, whereas analog beam forming can only adjust the phase. Hybrid beam formation is comparable to digital beamforming. However, it is less complicated. As a result, in the case of massive MIMO communication, it is a cost-effective and widely accepted technology.

# mimo beamforming  # analog beamforming





Contact Us

Name

Email *

Message *

Popular Posts

Hybrid Beamforming | Page 1

Beamforming Techniques Hybrid Beamforming... Page 1 | Page 2 | Hybrid Beamforming: Hybrid beam formation was developed to address some of the limitations of digital pre-coding approaches. Every antenna element is connected to an RF chain in digital pre-coding (beam forming) method. We also know that each RF chain is in charge of providing a separate data stream between the transmitter and the receiver. We know that a larger number of independent data streams leads to higher data rates. It has a spatial multiplexing feature for MIMO. As a result, we may assume that switching from MIMO to massive MIMO will benefit us more in terms of spatial multiplexing in massive MIMO, where each antenna is coupled to a single RF chain. We'll proceed with a definition of hybrid beam forming. Overview of hybrid beam forming with example: Unlike digital beam forming, more than one antenna element is connected to a single RF chain in hybr...

MATLAB Code for 8-PSK, 16-PSK, ...

📘 Overview & Theory 🧮 MATLAB Code for BPSK, QPSK, 8-PSK, 16-PSK, 32-PSK 🧮 Simulator for m-ary PSK 📚 Further Reading   MATLAB Code for BPSK, QPSK, 8-PSK, 16-PSK, 32-PSK clc; clear all; close all; rng(10) M = 8; % M = 2, 4, 8, 16, 32, etc. N_Bits = 2520; Phase = 0; data_info_bit = randi([0,1],N_Bits,1); data_temp = bi2de(reshape(data_info_bit,N_Bits/log2(M),log2(M))); modData = pskmod(data_temp,M,Phase); figure(1); scatterplot(modData); channelAWGN = 15; rxData2 = awgn(modData, channelAWGN); figure(2); scatterplot(rxData2); demodData = pskdemod(rxData2,M,Phase);   for BPSK, Constellation Size, M = 2 for QPSK, M = 4 for 8-PSK, M = 8, and so on    Output Figure: 8-PSK Modulation Figure: 8-PSK Demodulation after adding AWGN Noise Using the above MATLAB code you'll able be to modulate and demodulate 2-PSK, 4-PSK, 8-PSK, 16-PSK, 32-PSK and so on.  16-PSK   Fig: 16-PSK In this above code ' M ' is the number of the conste...

UGC NET Electronic Science Previous Year Question Papers with Solutions

Home / Engineering & Other Exams / UGC NET 2026 PYQ ⬇️ Download Papers and Solutions 📋 Exam Pattern 💡 Preparation Tips ❓ FAQs 📊 Exam Highlights: Electronic Science (88) Feature Details Junior Research Fellowship (JRF) ₹37,000 + HRA per month Eligibility M.Sc/M.Tech in Electronics (55%) Validity of Certificate JRF (3 Years) | Lectureship (Lifetime) 📥 Download UGC NET Electronics PDFs Complete collection of previous year question papers, answer keys and explanations for Subject Code 88. Start Downloading 📂 View All Question Papers June 2025 - Question Paper Download PDF June 2025 - Solved Paper + Explanation ...

How Windowing Affects Your Periodogram

The windowed periodogram is a widely used technique for estimating the Power Spectral Density (PSD) of a signal. It enhances the classical periodogram by mitigating spectral leakage through the application of a windowing function. This technique is essential in signal processing for accurate frequency-domain analysis.   Power Spectral Density (PSD) The PSD characterizes how the power of a signal is distributed across different frequency components. For a discrete-time signal, the PSD is defined as the Fourier Transform of the signal’s autocorrelation function: S x (f) = FT{R x (Ï„)} Here, R x (Ï„)}is the autocorrelation function. FT : Fourier Transform   Classical Periodogram The periodogram is a non-parametric PSD estimation method based on the Discrete Fourier Transform (DFT): P x (f) = \(\frac{1}{N}\) X(f) 2 Here: X(f): DFT of the signal x(n) N: Signal length However, the classical periodogram suffers from spectral leakage due to abrupt truncation of the ...

OFDM Symbols and Subcarriers Explained

This article explains how OFDM (Orthogonal Frequency Division Multiplexing) symbols and subcarriers work. It covers modulation, mapping symbols to subcarriers, subcarrier frequency spacing, IFFT synthesis, cyclic prefix, and transmission. Step 1: Modulation First, modulate the input bitstream. For example, with 16-QAM , each group of 4 bits maps to one QAM symbol. Suppose we generate a sequence of QAM symbols: s0, s1, s2, s3, s4, s5, …, s63 Step 2: Mapping Symbols to Subcarriers Assume N sub = 8 subcarriers. Each OFDM symbol in the frequency domain contains 8 QAM symbols (one per subcarrier): Mapping (example) OFDM symbol 1 → s0, s1, s2, s3, s4, s5, s6, s7 OFDM symbol 2 → s8, s9, s10, s11, s12, s13, s14, s15 … OFDM sym...

Advanced M-ary Modulation Simulator: Constellation, min dist, Efficiency, SER, EVM (RMS)

Advanced M-ary Communication Lab Analytical & Statistical Performance of Digital Modulation Theoretical Probability of Error (\(P_s\)) \[ P_s = Q\left(\sqrt{\frac{2 E_b}{N_0}}\right) \] Modulation (M-ary) BPSK (M=2) QPSK (M=4) 8-PSK (M=8) 16-QAM (M=16) 64-QAM (M=64) 256-QAM (M=256) SNR (\(E_b/N_0\)): 12 dB Efficiency 2 bps/Hz Min Dist (\(d_{min}\)) 1.41 Symbol Error 1.2e-5 EVM (RMS) 0.0% Constellation Diagram Noise PDF & Decision Tail 1. Geometric Mapping ...

Frequency Shift Keying (FSK) Modulation & Demodulation (with Simulation)

Frequency Shift Keying (FSK) Theoretical Foundations: Frequency Shift Keying (FSK) is a discrete frequency modulation scheme wherein the digital information is encoded via instantaneous shifts in the carrier signal's frequency. The fundamental implementation is Binary FSK (BFSK), which maps binary data onto two distinct, discrete spectral states. A binary '1' (the "mark" state) is represented by a carrier frequency \( f_1 \), while a binary '0' (the "space" state) corresponds to frequency \( f_2 \). Each symbol is sustained for a bit interval denoted by \( T_b \). FSK Transmitter Characterization: The mathematical model for the modulated BFSK output \( s(t) \) is defined as: \[ s(t) = \begin{cases} A_c \cos(2\pi f_1 t), & \text{for } m = 1 \\ A_c \cos(2\pi f_2 t), & \text{for } m = 0 \end{cases} \] ...