Skip to main content

5G : Challenges and Potential Solutions for 5G Communication



This article will cover a variety of 5G challenges and solutions. Although 5G has the potential to meet future high data rate and bandwidth demands, there are still some big difficulties to overcome in order to make 5G a reality. We're transitioning from 4G to 5G technology as the number of connected devices to the internet grows fast. The demand for IoTs (Internet of Things) and sensors is steadily increasing these days. For many years, connected vehicles, vehicle-to-vehicle communication (V2V), and vehicle-to-infrastructure (V2I) was a major concern. To connect a large number of devices to a base station, we need more bandwidth as compared to 4G to ensure that all devices can communicate smoothly. The 5G millimeter wave band, on the other hand, offers ample spectrum resources to meet the demands. Now we'll talk about 5G's difficulties and possible solutions:




Main challenges for 5G:


1. Due to the extremely high frequency, there is a significant path loss in omnidirectional EM wave transmission.


2. Due to the very short wavelength, there is a high penetration loss.


3. Interferences and infrastructures


4. Because the coverage zone is small, billions of APs are required.


5. Safety and Privacy




Possible Solutions:



Beam forming and directional transmission to combat high path loss:


As we know, extremely high frequency or millimeter waves suffer from significant path loss due to their high frequency and short wavelength, as they are easily absorbed by air gases, vapor, and other substances. As a result, such a high frequency wave can only travel a short distance through the atmosphere.


To maximize SNR at the receiver, we use directed transmission or beam forming. By using this techniques, extra gain is added, such as transmitter and receiver gains. In contrast, if we increase the strength at the transmitter or make the beam narrower, we can expect longer distance communication than before (without beam forming).


 

Microcell, APs to combat high penetration loss:


It can barely penetrate thick obstructions due to its high frequency and short wavelength. High frequencies, on the other hand, are more reflective and refractive. It is easily refracted or refracted by barriers such as building walls, glasses, and other objects.


As a result, connecting an outdoor node (in this case, a communication node) to an indoor node is problematic.


We can APs (access points) for indoor in this circumstance. Then we'll be able to link it to outside networks. APs can be used to make microcells. Then we can connect a macro cell to several microcells. The macro cell will then be connected to the BS, and the BS will be connected to the macro cell through backhauls.

 


Enabling device to device (D2D) communication and repeaters:


For this case, especially for microcell 5G communications, we can employ device to device communication (D2D) to obtain higher spectrum efficiency. Because such communication is ideal here because interference is reduced due to high path loss, and if beam forming is used, it is a significant benefit for D2D communication. You know, if we put APs everywhere, we'll need billions of them to connect (especially, for indoor communication node). To simplify the system, we can use repeaters to replace many APs. This is cost effective also.




Security & Privacy:


All users and personal data should be secure. 5G service providers have to ensure it. Hackers may have access to a large amount of data with high-speed and ubiquitous connections of 5G. That is something that 5G companies must keep in mind.


We also know that the beam forming technique effectively reduces the chances of eavesdropping and jamming (by jammer) at the local level.


Go to main menu ↑
























P 7

What is s11 and s21 of MIMO antenna

 

MIMO system was invented to increase the system's capacity. Here capacity of the system increases linearly with the number of antennas at transmitter and receiver increases. But there is a main issue arises in MIMO system is that interference between multiple antenna elements. 

MIMO is an important feature of Wi-Fi 4 and 5, as well as 3G and 4G cellular networks. This method was developed to improve the capacity of a channel by sending many data streams simultaneously over a single channel. In a MIMO system, all simultaneous data streams are encoded orthogonally multiplexed, which lowers interference. Massive MIMO is widely utilized in 5G to achieve large capacity and communicate via beam forming or directional transmission.

Here in MIMO systems we can use different types of diversity (time, space, and frequency diversity - three are three main type of diversity) to improve Quality of service (QoS) by reducing inter-element (antenna) interference. We can use different types of different types of polarization and pattern diversity, i.e., LP (linearly polarized antennas),  CP (circularly polarized antennas), etc. to cancel interference between MIMO antenna elements. That diversity techniques are widely used in WLAN systems. 

Diversity is a technique where, especially, in case of MIMO system, multiple antennas can enable multiple data streams between transmitter and receiver simultaneously. Now, interference occurs in that system if there is no diversity. We know in case of time diversity you can send multiple signals to multiple devices using different time slots. Similar thing happens in TDM (time division multiplexing) modulation system. You know in 2G GSM we use TDM to connect 8 devices to BS thru same channel by 8 different time slots. 


Now, we can also reduce interfaces between multiple antenna elements by using good inter element isolation. For that we need to design MIMO antenna elements accordingly so that we can achieve high gain.  That is also recommended for higher WLAN frequencies.

In case of designing MIMO antennas we generally get the terms like, S11, S21, S31, etc. Here, S21 represents the reflected signal power from element or antenna no 2 due to transmission from element or antenna 1. Obviously, that causes interference if the intensity is above  the acceptable level. Usually, isolation less than -20 dB is considered as good isolation for typical MIMO systems.   

Usually, transfer of power between antenna to antenna are measured in dB or decibel. It is a logarithmic scale. In our case it is 10*log(reflected power / total transmission power). Here base of the log is 10.



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, ...

๐Ÿ“˜ Overview of BER and SNR ๐Ÿงฎ Online Simulator for BER calculation of m-ary QAM and m-ary PSK ๐Ÿงฎ MATLAB Code for BER calculation of M-ary QAM, M-ary PSK, QPSK, BPSK, ... ๐Ÿ“š Further Reading ๐Ÿ“‚ View Other Topics on M-ary QAM, M-ary PSK, QPSK ... ๐Ÿงฎ Online Simulator for Constellation Diagram of m-ary QAM ๐Ÿงฎ Online Simulator for Constellation Diagram of m-ary PSK ๐Ÿงฎ MATLAB Code for BER calculation of ASK, FSK, and PSK ๐Ÿงฎ MATLAB Code for BER calculation of Alamouti Scheme ๐Ÿงฎ Different approaches to calculate BER vs SNR What is Bit Error Rate (BER)? The abbreviation BER stands for Bit Error Rate, which indicates how many corrupted bits are received (after the demodulation process) compared to the total number of bits sent in a communication process. BER = (number of bits received in error) / (total number of tran...

Calculation of SNR from FFT bins in MATLAB

๐Ÿ“˜ Overview ๐Ÿงฎ MATLAB Code for Estimation of SNR from FFT bins of a Noisy Signal ๐Ÿงฎ MATLAB Code for Estimation of Signal-to-Noise Ratio from Power Spectral Density Using FFT and Kaiser Window Periodogram from real signal data ๐Ÿ“š Further Reading   Here, you can find the SNR of a received signal from periodogram / FFT bins using the Kaiser operator. The beta (ฮฒ) parameter characterizes the Kaiser window, which controls the trade-off between the main lobe width and the side lobe level in the frequency domain. For that you should know the sampling rate of the signal.  The Kaiser window is a type of window function commonly used in signal processing, particularly for designing finite impulse response (FIR) filters and performing spectral analysis. It is a general-purpose window that allows for control over the trade-off between the main lobe width (frequency resolution) and side lobe levels (suppression of spectral leakage). The Kaiser window is defined...

MIMO Channel Matrix | Rank and Condition Number

MIMO / Massive MIMO MIMO Channel Matrix | Rank and Condition...   The channel matrix in wireless communication is a matrix that describes the impact of the channel on the transmitted signal. The channel matrix can be used to model the effects of the atmospheric or underwater environment on the signal, such as the absorption, reflection or scattering of the signal by surrounding objects. When addressing multi-antenna communication, the term "channel matrix" is used. Let's assume that only one TX and one RX are in communication and there's no surrounding object. Here, in our case, we can apply the proper threshold condition to a received signal and get the original transmitted signal at the RX side. However, in real-world situations, we see signal path blockage, reflections, etc.,  (NLOS paths [↗]) more frequently. The obstruction is typically caused by building walls, etc. Multi-antenna communication was introduced to address this issue. It makes diversity app...

Online Simulator for ASK, FSK, and PSK

Try our new Digital Signal Processing Simulator!   Start Simulator for binary ASK Modulation Message Bits (e.g. 1,0,1,0) Carrier Frequency (Hz) Sampling Frequency (Hz) Run Simulation Simulator for binary FSK Modulation Input Bits (e.g. 1,0,1,0) Freq for '1' (Hz) Freq for '0' (Hz) Sampling Rate (Hz) Visualize FSK Signal Simulator for BPSK Modulation ...

Pulse Position Modulation (PPM)

Pulse Position Modulation (PPM) is a type of signal modulation in which M message bits are encoded by transmitting a single pulse within one of 2แดน possible time positions within a fixed time frame. This process is repeated every T seconds , resulting in a data rate of M/T bits per second . PPM is a form of analog modulation where the position of each pulse is varied according to the amplitude of the sampled modulating signal , while the amplitude and width of the pulses remain constant . This means only the timing (position) of the pulse carries the information. PPM is commonly used in optical and wireless communications , especially where multipath interference is minimal or needs to be reduced. Because the information is carried in timing , it's more robust in some noisy environments compared to other modulation schemes. Although PPM can be used for analog signal modulation , it is also used in digital communications where each pulse position represents a symbol or bit...

Constellation Diagrams of ASK, PSK, and FSK

๐Ÿ“˜ Overview of Energy per Bit (Eb / N0) ๐Ÿงฎ Online Simulator for constellation diagrams of ASK, FSK, and PSK ๐Ÿงฎ Theory behind Constellation Diagrams of ASK, FSK, and PSK ๐Ÿงฎ MATLAB Codes for Constellation Diagrams of ASK, FSK, and PSK ๐Ÿ“š Further Reading ๐Ÿ“‚ Other Topics on Constellation Diagrams of ASK, PSK, and FSK ... ๐Ÿงฎ Simulator for constellation diagrams of m-ary PSK ๐Ÿงฎ Simulator for constellation diagrams of m-ary QAM 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 phase shift of 90 degrees with respect to the x-axis, which is also termed phase offset ) or √Eb (on x-axis), where Eb​ is the energy per bit. These signals represent binary 0 and 1.  BPSK (Binary PSK) Modulation: Transmits one of two signals...

Simulation of ASK, FSK, and PSK using MATLAB Simulink

๐Ÿ“˜ Overview ๐Ÿงฎ How to use MATLAB Simulink ๐Ÿงฎ Simulation of ASK using MATLAB Simulink ๐Ÿงฎ Simulation of FSK using MATLAB Simulink ๐Ÿงฎ Simulation of PSK using MATLAB Simulink ๐Ÿงฎ Simulator for ASK, FSK, and PSK ๐Ÿงฎ Digital Signal Processing Simulator ๐Ÿ“š Further Reading ASK, FSK & PSK HomePage MATLAB Simulation Simulation of Amplitude Shift Keying (ASK) using MATLAB Simulink      In Simulink, we pick different components/elements from MATLAB Simulink Library. Then we connect the components and perform a particular operation.  Result A sine wave source, a pulse generator, a product block, a mux, and a scope are shown in the diagram above. The pulse generator generates the '1' and '0' bit sequences. Sine wave sources produce a specific amplitude and frequency. The scope displays the modulated signal as well as the original bit sequence created by the pulse generator. Mux is a tool for displaying b...

What are Precoding and Combining Weights / Matrices in a MIMO Beamforming System

MIMO / Massive MIMO Beamforming Techniques Precoding and Combining Weights...   Figure:  configuration of single-user digital precoder for millimeter  Wave massive MIMO system Precoding and combining are two excellent ways to send and receive signals over a multi-antenna communication process, respectively (i.e., MIMO antenna communication ). The channel matrix is the basis of both the precoding and combining matrices. Precoding matrices are typically used on the transmitter side and combining matrixes on the receiving side. The two matrices allow us to generate multiple simultaneous data streams between the transmitter and receiver. The nature of the data streams is also orthogonal. That helps decrease or cancel (theoretically) interference between any two data streams. The channel matrix is first properly diagonalized. Diagonalization is the process of transforming any matrix into an equivalent diagon...