Skip to main content

Antennas for 5G | Future scope of patch antennas that are used for 5g Applications



Very compact antennas are used for 5G connectivity. Because 5G communication relies heavily on beamforming, antenna elements should theoretically be placed in half-wavelength intervals. u may be aware that 5G operates at sub-6 GHz frequencies, such as 3 to 4 GHz, whereas 4G LTE operated at frequencies between 1 and 3 GHz.

In smartphones, patched antennas are utilized as transmitter or receiver antennas. Using micro-strip patch antennas has several advantages. It is simple to install on the planner's surface. It takes up less space than other antennas, such as dipole antennae, in terms of area/volume. Micro-strip path antennas, on the other hand, are excellent for directivity gain and can be employed as a phased array.

We know that we won't be able to transmit a 5G signal omnidirectionally from an antenna. Due to the high path loss of the 5G frequency band, it is unable to reach the receiver with sufficient energy. As a result, we must send more energy to the intended device while reducing signal transmission in all other directions. In wireless communication, this process is known as beamforming.

More than one adjacent antenna is necessary to generate a beam, as we've discussed in previous articles, and MIMO can be employed for this. In this article, we'll show you why patch antennas are a good fit for 5G applications. Let's replace the MIMO antennas with micro-strip patch antennas. We know that 5G uses the millimeter wave frequency band, which has wavelengths ranging from 1 to 10 millimeters, which is a relatively short wavelength range.

Microstrip patch antennas are a major bonus in this case because they allow us to easily install antenna elements in half-wavelength intervals. We'll also be able to pack a lot of antennas into a small space, resulting in a massive MIMO system.

We already discussed beam steering, precoding techniques, and other beamforming-related topics in the previous posts. We can easily use beam steering and use the precoding method for high-gain beamforming in a micro-strip patch antenna panel.

Let me give you an example to help you understand. In a micro-strip antenna panel, there are 8*8 array antenna elements. Because a higher frequency band travels a shorter distance than a lower frequency band, we form a beam by sending the same signal from eight adjacent antenna elements. As a result, we may expect 8 distinct independent beams (as there are a total of 64 antenna elements) generating vectors that can be steered in any direction or within a certain angular range or segment.

We now know that eight independent communication paths can connect with other MIMO. Now, if we wish to communicate with 8 data streams or paths at the same time, we must look for interference between them. The precoding approach reduces interference between them.

We may conclude from the above discussion that micro-strip patch antennas are suited for 5G applications because of their small size, directional nature (radiation pattern), and ability to be employed as a phased array, which is ideal for beam steering and channel estimation.
Next Page>>

People are good at skipping over material they already know!

View Related Topics to







Contact Us

Name

Email *

Message *

Popular Posts

BER vs SNR for M-ary QAM, M-ary PSK, QPSK, BPSK, ...(MATLAB Code + Simulator)

Bit Error Rate (BER) & SNR Guide Analyze communication system performance with our interactive simulators and MATLAB tools. 📘 Theory 🧮 Simulators 💻 MATLAB Code 📚 Resources BER Definition SNR Formula BER Calculator MATLAB Comparison 📂 Explore M-ary QAM, PSK, and QPSK Topics ▼ 🧮 Constellation Simulator: M-ary QAM 🧮 Constellation Simulator: M-ary PSK 🧮 BER calculation for ASK, FSK, and PSK 🧮 Approaches to BER vs SNR What is Bit Error Rate (BER)? The BER indicates how many corrupted bits are received compared to the total number of bits sent. It is the primary figure of merit for a...

ASK, FSK, and PSK (with MATLAB + Online Simulator)

📘 ASK Theory 📘 FSK Theory 📘 PSK Theory 📊 Comparison 🧮 MATLAB Codes 🎮 Simulator ASK or OFF ON Keying ASK is a simple (less complex) Digital Modulation Scheme where we vary the modulation signal's amplitude or voltage by the message signal's amplitude or voltage. We select two levels (two different voltage levels) for transmitting modulated message signals. Example: "+5 Volt" (upper level) and "0 Volt" (lower level). To transmit binary bit "1", the transmitter sends "+5 Volts", and for bit "0", it sends no power. The receiver uses filters to detect whether a binary "1" or "0" was transmitted. Fig 1: Output of ASK, FSK, and PSK modulation using MATLAB for a data stream "1 1 0 0 1 0 1 0" ( Get MATLAB Code ) ...

Calculation of SNR from FFT bins in MATLAB

📘 Overview 💻 FFT Bin Method 💻 Kaiser Window 📚 Further Reading SNR Estimation Overview In digital signal processing, estimating the Signal-to-Noise Ratio (SNR) accurately is crucial. Below, we demonstrate how to calculate SNR from periodogram and FFT bins using the Kaiser Window . The beta (β) parameter is the key—it allows you to control the trade-off between main-lobe width and side-lobe levels for precise spectral analysis. 1 Define Sampling rate and Time vector 2 Compute FFT and Periodogram PSD 3 Identify Signal Bin and Frequency resolution 4 Segment Signal Power from Noise floor 5 Logarithmic calculation of SNR in dB Method 1: Estimation from FFT Bins This approach uses a Hamming window to estimate SNR directly from the spectral bins. MATLAB Source Code Copy Code clc...

MATLAB Code for ASK, FSK, and PSK (with Online Simulator)

MATLAB Code for ASK, FSK, and PSK Comprehensive implementation of digital modulation and demodulation techniques with simulation results. 📘 Theory 📡 ASK Code 📶 FSK Code 🎚️ PSK Code 🕹️ Simulator 📚 Further Reading Amplitude Shift Frequency Shift Phase Shift Live Simulator ASK, FSK & PSK HomePage MATLAB Code MATLAB Code for ASK Modulation and Demodulation COPY % The code is written by SalimWireless.Com clc; clear all; close all; % Parameters Tb = 1; fc = 10; N_bits = 10; Fs = 100 * fc; Ts = 1/Fs; samples_per_bit = Fs * Tb; rng(10); binar...

Online Simulator for ASK, FSK, and PSK

Try our new Digital Signal Processing Simulator!   •   Interactive ASK, FSK, and BPSK tools updated for 2025. Start Now Interactive Modulation Simulators Visualize binary modulation techniques (ASK, FSK, BPSK) in real-time with adjustable carrier and sampling parameters. 📡 ASK Simulator 📶 FSK Simulator 🎚️ BPSK Simulator 📚 More Topics ASK Modulator FSK Modulator BPSK Modulator More Topics Simulator for Binary ASK Modulation Digital Message Bits Carrier Freq (Hz) Sampling Rate (...

LDPC Encoding and Decoding Techniques

Low Density Parity Check (LDPC) Guide Comprehensive analysis of linear error-correcting block codes, Tanner graphs, and 5G-NR implementations. 📘 Overview 🧮 Encoding 🧩 Decoding 📚 Resources Theory Encoding Tech Tanner Graph 5G Encoding Decoding 'LDPC' is the abbreviation for 'low density parity check'. LDPC code H matrix contains very few amount of 1's and mostly zeroes. LDPC codes are error correcting code. Using LDPC codes, channel capacities that are close to the theoretical Shannon limit can be achieved. Low density parity check (LDPC) codes are linear error-correcting block code suitable for error correction in a large block sizes transmi...

Constellation Diagrams of ASK, PSK, and FSK (with MATLAB Code + Simulator)

Constellation Diagrams: ASK, FSK, and PSK Comprehensive guide to signal space representation, including interactive simulators and MATLAB implementations. 📘 Overview 🧮 Simulator ⚖️ Theory 📚 Resources Definitions Constellation Tool Key Points MATLAB Code 📂 Other Topics: M-ary PSK & QAM Diagrams ▼ 🧮 Simulator for M-ary PSK Constellation 🧮 Simulator for M-ary QAM Constellation BASK (Binary ASK) Modulation Transmits one of two signals: 0 or -√Eb, where Eb​ is the energy per bit. These signals represent binary 0 and 1. BFSK (Binary FSK) Modulation Transmits one ...

FIR vs IIR Digital Filters and Recursive vs Non Recursive Filters

Filters >> FIR vs. IIR Digital Filters and Recursive vs. Non-Recursive Filters Key Features The higher the order of a filter, the sharper the stopband transition The sharpness of FIR and IIR filters is very different for the same order A FIR filter has an equal time delay at all frequencies, while the IIR filter's time delay varies with frequency. Usually, the biggest time delay in the IIR filter is at the filter's cutoff frequency. The term 'IR' (impulse response) is in both FIR and IIR. The term 'impulse response' refers to the appearance of the filter in the time domain. 1. What Is the Difference Between an FIR and an IIR Filters? The two major classifications of digital filters used for signal filtration are FIR and IIR....