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

FFT Butterfly Method Explained (with Simulations)

4-Point FFT Using Butterfly Method Given: x[n] = {0, 1, 2, 3} Step 1: Split into Even & Odd Even indices: x e = {x[0], x[2]} = {0, 2} Odd indices: x o = {x[1], x[3]} = {1, 3} Step 2: 2-point DFT For any {a, b}: DFT = {a + b, a - b} Even Part (E): {0+2, 0-2} = {2, -2} Odd Part (O): {1+3, 1-3} = {4, -2} Step 3: Combine Using Butterfly X[k] = E[k] + W 4 k O[k] X[k + 2] = E[k] - W 4 k O[k] Twiddle Factors (N=4): W 4 0 = 1, W 4 1 = -j Final Calculations: X[0] = E[0] + W 4 0 O[0] = 2 + (1)(4) = 6 X[2] = E[0] - W 4 0 O[0] = 2 - (1)(4) = -2 X[1] = E[1] + W 4 1 O[1] = -2 + (-j)(-2) = -2 + 2j X[3] = E[1] - W 4 1 O[1] = -2 - (-j)(-2) = -2 - 2j Final Answer: X[k] = {6, -2 + 2j, -2, -2 - 2j} 8-Point FFT Using Butterfly Method Given: x[n] = {0,1,2,3,4,5,6,7} Step 1: Split into Bit-Reversed Order To perform DIT-FFT, split the 8 points into pairs of two: Group A: {x[0], x[4]} = {0, 4}...

MATLAB Code for BER performance of QPSK with BPSK, 4-QAM, 16-QAM, 64-QAM, 256-QAM, etc

📘 Overview 🧮 MATLAB Codes 🧮 Online Simulator for Calculating BER of M-ary PSK and QAM 🧮 QPSK vs BPSK and QAM: A Comparison of Modulation Schemes in Wireless Communication 🧮 Are QPSK and 4-PSK same? 📚 Further Reading   QPSK offers double the data rate of BPSK while maintaining a similar bit error rate at low SNR when Gray coding is used. It shares spectral efficiency with 4-QAM and can outperform 4-QAM or 16-QAM in very noisy channels. QPSK is widely used in practical wireless systems, often alongside QAM in adaptive modulation schemes [Read more...] What is the Gray Code? Gray Code: Gray code is a binary numeral system where two successive values differ in only one bit. This property is called the single-bit difference or unit distance code. It is also known as reflected binary code. Let's convert binary 111 to Gray code: Binary bits: B = 1 1 1 Apply the rule: G[0] = B[0] = 1...

Design of CMOS Flip-Flops (SR, D, JK)

Design of CMOS Flip-Flops (SR, D, JK) A flip-flop or latch is a circuit with two stable states, used to store state information. It is the basic storage element in sequential logic and a fundamental building block in digital electronics systems, including computers and communication devices. Flip-flops and latches act as data storage elements for states, pulse counting, and synchronization of variably-timed input signals to a reference clock. Flip-flops can be transparent/opaque (latches) or clocked (synchronous, edge-triggered). Latches are level-sensitive, while flip-flops are edge-sensitive. In sequential logic, the output depends on current inputs and previous states. Fig.1 shows a sequential circuit combining a combinational block and a memory element. ...

MATLAB Code for QPSK Modulation and Demodulation

📘 Overview 🧮 MATLAB Codes 🧮 Theory 🧮 BER performance of QPSK with BPSK, 4-QAM, 16-QAM, 64-QAM, 256-QAM, etc 📚 Further Reading QPSK Passband Signal Generation Spectral Efficiency in QPSK   Quadrature Phase Shift Keying (QPSK) is a digital modulation scheme that conveys two bits per symbol by changing the phase of the carrier signal. Each pair of bits is mapped to one of four possible phase shifts: 0°, 90°, 180°, or 270° 00  ===> 0 degree phase shift of carrier signal 01  ===> 90 degree 11  ===> 180 degree 10  ===> 270 degree   MATLAB Script clc; clear all; close all; clc; M = 4; data = randi([0 (M-1)], 1000, 1); Phase = 0; modData=pskmod(data,M,Phase); figure(1); scatterplot(modData); channelAWGN = 15; rxData2 = awgn(modData, channelAWGN); figure(2); scatterplot(rxData2); demodData = pskdemod(rxData2,M,Phase);   Result data 1 0 2 2 0 2 1 . . . modData -1.0...

Pulse Amplitude Modulation and Demodulation

📘 Overview & Theory of Pulse Amplitude Moduation (PAM) 🧮 Pulse Amplitude Demoduation 🧮 MATLAB Code for PAM 📚 Further Reading 📂 Other Topics on Pulse Amplitude Modulation ... 🧮 Simulation results for comparison of PAM, PWM, PPM, DM, and PCM 🧮 Other Pulse Modulation Techniques (e.g., PWM, PPM, DM, and PCM) 🧮 MATLAB Code for Pulse Amplitude Modulation and Demodulation of an Analog Signal (2) 🧮 MATLAB Code for Pulse Amplitude Modulation and Demodulation of Digital data  Pulse Amplitude Modulation (PAM) Sampling allow us to represent real world continuous signal, such as audio or video, in a format suitable for digital processing and storage. This sampled discrete-time signal is inherently digital. A digital signal is a discrete-time signal that is further quantized in amplitude. Pulse Amplitude modulation (PAM) is the modulation technique in which amplitude of carrier pulses is...

Frequency Bands : EHF, SHF, UHF, VHF, HF, MF, LF, VLF and Their Uses

Frequency Bands >> EHF, SHF, UHF, VHF, HF, MF, LF... Frequency Bands and Their Uses 1. Extremely High Frequency (EHF) 30 - 300 GHz Uses 5G Networks 5G millimeter wave band 6G and beyond (Experimental) RADAR 2. Super High Frequency (SHF) 3 - 30 GHz Uses Ultra-wideband (UWB) Airborne RADAR Satellite Communication Microwave Link Communication or SATCOM 3. Ultra High Frequency (UHF) 300 - 3000 MHz Uses Satellite Communication Television Surveillance Navigation aids Also, read important wireless communication terms 4....

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 ...

FM Bandwidth and FM Band Explained

FM radio uses the frequency band from 88 MHz to 108 MHz , which is a 20 MHz-wide spectrum . This is the range of carrier frequencies available to stations. 108 MHz − 88 MHz = 20 MHz However, a single FM station occupies only about 200 kHz . This is the bandwidth of the modulated FM signal. 1. Why One FM Station Needs ~200 kHz FM uses frequency modulation . The bandwidth depends on how far the carrier swings. Carson's Rule gives the approximate FM bandwidth: B = 2 ( Δf + f m ) ...