Skip to main content

Present and Future Wireless Communication Systems


1. Overview of 5G:

Looking back in time, we can see that we have adopted a new evolution or G in each decade. We were first introduced to 4G technology in 2010. However, we now need to make some changes to our current network. We're looking for two things in particular: 1. A network that is extremely dense, and 2. Broadband connectivity through cellular networks. Around 2020, 5G technology was commercialized. By 2025, it is anticipated that extensive adaption will be achievable. [Read More about 5G]


2. Limitations of 4G LTE:

Previously, with 4G LTE, a single base station (BS) could connect hundreds of devices at once. In the current situation, we need to expand the capacity of our system. Because the amount of bandwidth needed by various devices is continually rising. Every decade, it grows by a factor of 1000. As a result, every ten years, an entirely new evolution of G is required. [Read More]


3. The reason of the increasing data demand:

The number of wireless devices is increasing every day, yet the internet-based services, such as self-driving cars, streaming ultra-high-definition video, andIoTsensors, need both high data rates and extremely low latency to function in real time. Between 2011 and 2022, mobile data traffic will increase at a compound annual growth rate of 46%. It would have reached 2.58 exabytes (EB) daily by 2022. Statistics show that by 2022, the amount of internet protocol (IP) traffic worldwide is expected to exceed 4.8 zettabytes (ZBs) annually.


4. High data rates and more connections are offered to users with 5G:

Thousands of devices per square kilometer are projected to be supported by 5G. We urgently require it since the number of internet-connected devices, IoTs, and PDAs is continuously expanding, necessitating a large amount of bandwidth to operate them. Because 5G employs extremely high frequency or millimeter wave, it is capable of doing so. Previously, we've seen bandwidth allotment of roughly 2GHz per channel in WI PAN applications employing the 60 GHz millimeter wave spectrum. In the case of a cellular 5G network, we will now ‎utilize‎ this millimeter wave spectrum. That is very incredible. We'll use massive MIMO to make better use of the spectrum resource because millimeter wave has a lot of promise for greater bandwidth. Massive MIMO is an excellent way to boost system capacity even more. Using those incredible core technologies, we've almost reached the Shannon limit in 5G communication.

Our economy will be greatly impacted by 5G. Automation may be seen in a variety of sectors and industries. Machine-to-machine communication, augmented reality (AR), and virtual reality will all be common in the future. We will be able to control machines from afar and in real time. For many years, internet-connected high-speed vehicles, such as bullet trains, have been a major source of concern. Everything is feasible thanks to the ultra-low latency of the 5G millimeter wave spectrum. Communication latency will be decreased to 1 ms in 5G, compared to 40 ms in 4G.

Although 5G has a lot of potential, it also has several drawbacks, such as a complex channel model (sparse channel matrix), high propagation path loss, and so on. We've talked about a lot of problems and potential remedies.


5. Upcoming Wireless Mobile Generations, Millimeter Wave Band, and Massive MIMO: 
 
We are consistently upgrading our cellular wireless network's generation(G in telecom) and the IEEE body is releasing new WLAN technology, all to satisfy the demand for high data traffic from various internet-connected devices. As a result, we're moving to 5G, The essential technology for 5G connectivity is the millimeter wave (mmWave) band. The frequency range for mm-Wave is 30 to 300 GHz. To address the rising demand for data traffic on a worldwide scale, other spectrum bands need to be investigated. The millimeter wave band with massive MIMO antenna allows for a directed and narrow beam, which boosts the received signal power to an adequate level. Wi-Max, and other technologies to give greater connectivity to the fast-growing number of internet-connected devices. The fundamental goal of upgrading communication systems or the evolution of G is to offer enough bandwidth for all devices to connect with BSs seamlessly (due to the large amount of bandwidth available in the mm-wave band,Ultra-Wide Band (UWB),or microwave link communication) as well as to improve bandwidth efficiency (by applying new modulation techniques or designing antenna more properly for those systems, etc.).

The maximum bandwidth of the LTE cellular system, which operates at a sub-6 GHz operating frequency, is 200 MHz. However, WPAN, which operates in the 60 GHz unsilenced millimeter wave range, can give each channel a bandwidth of 2 GHz. The ITU classifies the millimeter wave band, which spans frequencies from 30 to 300 GHz, as extremely high frequency (or EHF). It is referred to as a millimeter wave since its wavelength varies from 1 millimeter to 10 millimeter. By providing high data rate wireless communication, where traffic from mobile and wireless devices will account for 71% of overall IP traffic, millimeter wave with massive MIMO will be crucial in meeting these demands.

N.B. We don't spam. Various posts about modern wireless communication systems, WLAN, 5G, IoTs, MIMO technology, Web design, programming, and other topics are published here. Don't forget tosubscribefor our newsletter.


Also read about

[1] 1G to 5G Technology - Evolution ofMobile Wireless Generations
[2] Important Wireless Communication Terms




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 f...

UGC NET Electronic Science Previous Year Question Papers with Solutions

Home / Engineering & Other Exams / UGC NET 2022 PYQ ⬇️ Download Papers and Solutions 📋 Exam Pattern 💡 Preparation Tips ❓ FAQs 📥 Download UGC NET Electronics PDFs Complete collection of previous year question papers, answer keys and explanations for Subject Code 88. Start Downloading UGC-NET (Electronics Science, Subject code: 88) Subject_Code : 88; Department : Electronic Science; 📂 View All Question Papers Q. UGC Net Electronic Science Question Paper [June 2025] A. UGC Net Electronic Science Question Paper With Answer Key Download Pdf [June 2025] with full explanation Q. UGC Net Electronic Science Question Paper [December 2024] A. UGC Net Electronic Science Question Paper With Answer Key Download Pdf [December 2024] ...

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 Q-function 📚 Resources 📂 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 of two signals: +√Eb​ (On the y-axis, the phas...

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

Interactive Digital Signal Processing (DSP) Tutorial and Simulator for ASK, FSK, and BPSK modulation techniques. Try our new Digital Signal Processing Simulator!   •   Interactive ASK, FSK, and BPSK tools updated for 2025. Start Now Digital Modulation Visualizer: ASK, FSK, & BPSK Simulator Learn and visualize binary modulation techniques (ASK, FSK, BPSK) in real-time with adjustable carrier and sampling parameters. Perfect for DSP students and engineers. 📡 ASK Simulator 📶 FSK Simulator 🎚️ BPSK Simulator 📚 More Topics ASK Modulator FSK Modulator BPSK Modulator More Topics 1. ASK (Amplitude Shift Keying) Simulat...

MATLAB code for BER vs SNR for M-QAM, M-PSK, QPSk, BPSK, ...(with Online Simulator)

🧮 MATLAB Code for BPSK, M-ary PSK, and M-ary QAM Together 🧮 MATLAB Code for M-ary QAM 🧮 MATLAB Code for M-ary PSK 📚 Further Reading MATLAB Script for BER vs. SNR for M-QAM, M-PSK, QPSK, BPSK % Written by Salim Wireless clc; clear; close all; snr_db = -5:2:25; psk_orders = [2, 4, 8, 16, 32]; qam_orders = [4, 16, 64, 256]; ber_psk_results = zeros(length(psk_orders), length(snr_db)); ber_qam_results = zeros(length(qam_orders), length(snr_db)); for i = 1:length(psk_orders) ber_psk_results(i, :) = berawgn(snr_db, 'psk', psk_orders(i), 'nondiff'); end for i = 1:length(qam_orders) ber_qam_results(i, :) = berawgn(snr_db, 'qam', qam_orders(i)); end figure; semilogy(snr_db, ber_psk_results(1, :), 'o-', 'LineWidth', 1.5, 'DisplayName', 'BPSK'); hold on; for i = 2:length(psk_orders) semilogy(snr_db, ber_psk_results(i, :), 'o-', 'DisplayName', sprintf('%d-PSK', psk_or...

BER performance of QPSK with BPSK, 4-QAM, 16-QAM, 64-QAM, 256-QAM, etc (MATLAB + Simulator)

📘 Overview 📚 QPSK vs BPSK and QAM: A Comparison of Modulation Schemes in Wireless Communication 📚 Real-World Example 🧮 MATLAB Code 📚 Further Reading   QPSK provides twice the data rate compared to BPSK. However, the bit error rate (BER) is approximately the same as BPSK at low SNR values when gray coding is used. On the other hand, QPSK exhibits similar spectral efficiency to 4-QAM and 16-QAM under low SNR conditions. In very noisy channels, QPSK can sometimes achieve better spectral efficiency than 4-QAM or 16-QAM. In practical wireless communication scenarios, QPSK is commonly used along with QAM techniques, especially where adaptive modulation is applied. Modulation Bits/Symbol Points in Constellation Usage Notes BPSK 1 2 Very robust, used in weak signals QPSK 2 4 Balanced speed & reliability 4-QAM ...

Q-function in BER vs SNR Calculation

Q-function in BER vs. SNR Calculation In the context of Bit Error Rate (BER) and Signal-to-Noise Ratio (SNR) calculations, the Q-function plays a significant role, especially in digital communications and signal processing . What is the Q-function? The Q-function is a mathematical function that represents the tail probability of the standard normal (Gaussian) distribution. Specifically, it is defined as: Q(x) = (1 / sqrt(2Ï€)) ∫â‚“∞ e^(-t² / 2) dt In simpler terms, the Q-function gives the probability that a standard normal random variable exceeds a value x . It is the complementary cumulative distribution function (CCDF) of the standard Gaussian distribution. The Role of the Q-function in BER vs. SNR The Q-function is the standard tool for calculating the Bit Error Rate (BER) in digital communication systems like Binary Phase Shift Keying (BPSK) or Quadrature Phase Shift Keying (QPSK) , where noise follows a Gaussian dis...