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

CMOS Logic Gates: Inverter, NAND, and NOR

CMOS Logic Gates: Inverter, NAND, and NOR Complementary metal–oxide–semiconductor (CMOS) technology forms the backbone of modern digital IC design. Patented by Frank Wanlass in 1963 ( US patent 3,356,858 ), CMOS enables low-power, high-speed, and noise-immune logic circuits. CMOS gates, including inverters, NAND, and NOR, are widely used in both large-scale and small-scale integrated circuits due to their efficiency and versatility. CMOS Inverter A CMOS inverter consists of a complementary pair of PMOS and NMOS transistors. The PMOS transistor connects to the supply voltage V DD , while the NMOS connects to ground. The input voltage V IN controls both gates, and the output voltage V OUT is taken from the connected drains. CMOS inverters are highly energy-efficient and produce minimal heat due to their comple...

UGC NET Electronic Science Previous Year Question Papers with Solutions

Download Papers and Solutions Exam Pattern Preparation Tips FAQs More Home / Engineering & Other Exams / UGC NET 2026 PYQ ๐Ÿ“Š 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) ๐Ÿ“ฅ Download UGC NET Electronics PDFs Complete collection of previous year question papers, answer keys and explanations for Subject Code 88. Start Downloading ๐Ÿ“‚ View All Question Papers June 2026 - Question Paper Download PDF June 202...

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...

IIR Filter Simulation

IIR Filter & Feedback Lab IIR Filter & Feedback Lab Exploring Recursive Systems: Where Output depends on Output 1 Input Signal $x[n]$ Signal Type Unit Impulse ฮด[n] Sine Wave Unit Step u[n] Frequency (for Sine) Notice: With an Impulse input, the output of an IIR filter can ring forever (Infinite response). 2 Feedback Coefficients Numerator $b$ (Feed-forward) Denominator $a$ (Feedback - $a_0$ is always 1) System Stable Try setting $a$ to 1.0, -1.1 to see an unstable system! ...

(Filters) Free MATLAB alternative for signal analysis

Advanced Signal Filters Upload CSV (1st Col) or Audio (WAV, MP3, etc.) Generate Messy Signal (20Hz + 50Hz + 150Hz) No Operation FFT (Spectrum) Amplitude Modulation (AM) Double Sideband Supressed Carrier (DSBSC) Pulse Amplitude Modulation (PAM) Flat Top PAM Filters - LPF, HPF, BPF, Notch Principal Component Analysis (PCA) Cross Spectrum Filter Type: Signal Cleaner ...

Decision Feedback Equalizer (DFE) in MATLAB

  MATLAB Code M = 4; % QPSK numSymbols = 10000; numTrainingSymbols = 5000; chtaps = [1 0.5*exp(1i*pi/6) 0.1*exp(-1i*pi/8)]; % Generate QPSK symbols data = randi([0 M-1], numSymbols, 1); tx = pskmod(data, M, pi/4); % DFE setup eq = comm.DecisionFeedbackEqualizer; eq.ReferenceTap = 1; eq.NumForwardTaps = 5; eq.NumFeedbackTaps = 3; % SNR sweep snrVec = 0:5:25; % 0,5,10,...25 dB berBefore = zeros(size(snrVec)); berAfter = zeros(size(snrVec)); for k = 1:length(snrVec) % Apply channel and AWGN rx = awgn(filter(chtaps,1,tx), snrVec(k), 'measured' ); % BER before equalization rxDataNoEq = pskdemod(rx, M, pi/4); [~, berBefore(k)] = biterr(data, rxDataNoEq); % Equalize [y,~,~] = eq(rx, tx(1:numTrainingSymbols)); % Phase correction phaseOffset = angle(mean(conj(tx(1:numTrainingSymbols)) .* y(1:numTrainingSymbols))); yCorrected = y * exp(-1i*phaseOffset); % BER after equalization rxDataEq = pskdemod(yCorrected, M, pi/4); [...

The electric field of a monochromatic plane wave travelling in a lossless isotropic and homogenous medium is given by E(z, t) = ...

  Q. The electric field of a monochromatic plane wave travelling in a lossless isotropic and homogenous medium is given by E(z, t) = E₀ [x̂ cos(ฯ‰t − kz) + ลท sin(ฯ‰t − kz)] in a right-handed orthogonal co-ordinate system. Which of the following is the correct polarization of the electromagnetic wave? (A) Right-handed circularly polarized Correct answer under the IEEE convention. (B) Left-handed circularly polarized (C) Linearly polarized (D) Linearly polarized at −45° to x̂ Solution 1. Identify the electric-field components Let ฯˆ = ฯ‰t − kz. The components along the x and y directions are: Eโ‚“ = E₀ cos ฯˆ Eแตง = E₀ sin ฯˆ Both components have equal amplitudes, the same frequency, and a phase difference of 90°. These are the conditions for circular polarization. ...

Online Simulator for Frequency Modulatiuon and Demodulation

FM Modulation Simulator Frequency Modulation (FM) In Frequency Modulation, the frequency of the carrier signal varies in accordance with the message signal's amplitude. s FM (t) = A c cos(ฯ‰ c t + k f ∫m(t)dt) where ฯ‰ = 2ฯ€f & k f = Frequency Sensitivity Modulation index, ฮฒ = (k f * A m ) / f m Change the parameter values to see the effect. Message Freq (Hz) 1 Carrier Freq (Hz) Message Amplitude (Am) Kf (sensitivity): 50 Perform FM Demodulation ๐Ÿงช Experiment for Students: ...