01 - Diversity Techniques in Wireless Communication Systems

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Diversity Techniques in Wireless Communication Systems

Nowadays, especially in this digital era, wireless communication plays an important role in human life in the field of telecommunications. However, there are many challenges when using wireless communication, such as Line of Sight, Diffraction, Scattering, Fading, Refraction, and Reflection. But one of the main challenges faced by wireless communication is Fading. Fading can significantly degrade signal quality and strength which impacts the data rate and overall performance of the telecommunication system. So, to overcome fading and improve the reliability of wireless links, use diversity techniques.

Type of Fading

There are two types of fading: small-scale and large-scale. Small-scale fading refers to rapid and significant changes in signal strength that occur when a mobile receiver moves over distances as short as a few wavelengths. Large-scale fading occurs due to shadowing effects and can be addressed by using suitable diversity techniques. In this case, the distances considered are typically similar to the spacing between two base stations.

What is Diversity?

Diversity is an efficient communication receiving system that enhances wireless connectivity at minimal effort. In wireless communication systems, diversity techniques are primarily used to significantly improve performance when signals experience fading in radio channels.

Type of Diversity

Persamaan penting untuk menghitung kehilangan jalur adalah . Formula ini esensial dalam analisis sistem nirkabel.

There are two basic types of diversity are: microscopic diversity and macroscopic diversity.

Microscopic diversity techniques are used to reduce the effect of small-scale fading, which happens when the received signal experiences deep drops in strength over short distances. By using two antennas with a small separation, it is possible to minimize these sudden changes in signal strength.

The method works by selecting the signal with the highest strength at any given time, allowing the receiver to lessen the impact of fading. As shown in the graph, small-scale fading causes rapid fluctuations in signal power, while large-scale



fading results in more gradual changes, especially in indoor settings.

 

Macroscopic diversity techniques are applied to address large-scale fading, which is mainly caused by shadowing effects that decrease signal strength. By selecting a base station that experiences less shadowing compared to others, a mobile device can achieve a higher signal-to-noise ratio (SNR) for its communication link. The method of reducing the impact of large-scale fading by choosing the most favorable base station is known as macroscopic diversity. It is especially effective at the receiver side of the base station.

 

Type of Diversity Techniques

There are basically five diversity techniques

  1. Frequency Diversity (Multipath)
  2. Time Diversity (Temporal)
  3. Space Diversity
  4. Polarization Diversity
  5. Angle Diversity

Frequency Diversity

In frequency diversity, the same information is sent over several different carrier frequencies. The main principle is that if these frequencies are spaced farther apart than the channel’s coherence bandwidth, the signals on each frequency will be uncorrelated. As a result, they are unlikely to experience fading at the same time. In such uncorrelated channels, the overall probability of all signals experiencing fading at once is the product of the individual probabilities for each frequency.

The use of this diversity technique requires two RF stages at both the receiver and the transmitter. An improvement factor can be calculated for this type of diversity method.


\[ \text{if } \frac{0.84 \cdot f \cdot 10^{\frac{f}{10}}}{f^2 \cdot d} \]

Where :

 \[ \Delta f = \text{frequency separation} \; \left( \text{GHz} \right) \] \[ F = \text{Fade Depth} \; \left( \text{dB} \right) \] \[ f = \text{Carrier Frequency} \; \left( \text{GHz} \right) \] \[d =\text{Hop Length}\; \left({Km} \right) \]



Time Diversity

In this technique, the same information is transmitted multiple times, with each transmission separated by a time interval longer than the channel’s coherence time. This repeated transmission ensures that the signal copies are affected by different fading conditions. As a result, sending the same data in various time slots allows the receiver to create diversity branches from these repeated signals.

 

Space Diversity

This technique is also known as antenna diversity. In space diversity, the receiver setup is straightforward, and multiple diversity branches can be selected. To achieve effective diversity at each cell site, several receiving antennas are used at the base station. It is important to ensure that these antennas are placed far enough apart, typically several wavelengths, to reduce correlation between the received signals. This separation helps because most of the signal scattering happens near the mobile device, close to the ground. Space diversity can be implemented at the base station, the mobile unit, or both.

As a result of using the space diversity technique, it is necessary to have two or more receiving antennas and two or more RF stages at the receiver.

Improvement Factor value on space diversity:

\[ ls = \frac{1.2 \cdot 10^{-3} \cdot s^{-2} \cdot f \cdot 10^{\frac{F - V}{10}}}{d} \]

Where:
 \[ s = \frac{80}{f \; (\text{GHz})}, \quad \text{where } 5 \; \text{m} \leq s \leq 15 \; \text{m} \] \[ F = \text{Fading Margin (dB)} \] \[ V = \text{Fade Depth (dB)} \] \[ \text{F is the difference in gain of the two antennas} \] \[ ls = \frac{1.2 \cdot 10^{-3} \cdot s^{-2} \cdot f \cdot 10^{\frac{F - V}{10}}}{d} \] \[ \text{Track Length } d \in [30, 70] \; \text{km} \]




Figure 3 Schematic Space Diversity



Figure 4 Simple block diagram of space diversity technique

 

If the distance between antennas is greater than half a wavelength, it is enough to reduce the correlation of fading between different diversity branches. At a base station, antenna separations of 50 to 100 wavelengths are recommended to ensure effective diversity.

The block diagram above illustrates a typical space diversity system. In this setup, multiple branches are used, each with its own antenna and gain value (such as G1, G2, and so on). These signals are then processed by a switching logic unit or a demodulator, which combines the inputs to produce the final output.

 

Polarization Diversity

Polarization diversity uses both horizontal and vertical polarizations. When a signal is transmitted with a pair of polarized antennas and received by another pair, the receiver gets two signals that are uncorrelated in their fading. This happens because horizontal and vertical polarizations experience different fading effects and reflect differently off tall buildings.

Studies have shown that the signal paths for vertical and horizontal polarization between the base station and the mobile device are uncorrelated. This lack of correlation is mainly due to the multiple reflections that occur in the radio channel. However, the type of polarization received still depends to some extent on the type of polarization that was transmitted.

 

Angle Diversity

This type of diversity system requires several directional antennas, each of which responds independently to waves coming from different directions. When an antenna receives a signal arriving at a specific angle, the faded signal it receives is uncorrelated with signals picked up by other antennas.

To achieve angle diversity, antennas with narrow beam widths are placed in different sectors of the system. This setup allows the receiver to distinguish and combine signals arriving from various directions. As a result, angle diversity not only provides diversity benefits but also increases antenna gain and reduces interference by offering better angular discrimination.

 

Diversity Combining Techniques

It is essential to combine the faded signals from different diversity branches, especially when these signals are uncorrelated, to fully achieve the benefits of diversity. The combining process should be designed to enhance the performance of the communication system, such as by improving the signal-to-noise ratio (SNR) or increasing the received signal power. Although combining is usually performed at the receiver, it can also be applied at the transmitter. There are several methods for diversity combining, with maximum ratio combining (MRC), equal gain combining (EGC), and selection combining (SC) being the most commonly used.

Selection Combining

Maximum Ratio Combining (MRC) and Equal Gain Combining (EGC) techniques are not well-suited for very high frequency (VHF), ultra high frequency (UHF), or mobile radio applications. This is because building a precise and stable co-phasing circuit is difficult in environments where the signal changes often due to multipath fading and random phase shifts. In contrast, Selection Combining (SC) is easier to implement and more practical for mobile radio use.




In Selection Combining, the branch with the strongest signal is chosen. The main idea is to monitor all the diversity branches and select the one with the highest signal-to-noise ratio (SNR). This process ensures that the best available signal is always used at the receiver. Although it can be difficult to measure SNR quickly, choosing the branch with the highest SNR is almost the same as picking the branch with the highest received power when the noise level is similar on each branch. Thus, in practice, the branch with the largest signal, least noise, and minimum interference is selected.

 

Feedback Diversity

This technique is also known as scanning diversity, works by sequentially checking multiple received signals to find one that exceeds a predetermined threshold value. In this approach, the signals from several antennas are monitored, and the receiver selects the first signal that is stronger than the set threshold.

A scanning process is performed on all incoming signals, but a limitation of this technique is that it reduces the fading level less effectively than other diversity methods. For each received signal, its strength is compared with the preset threshold, and the best available signal is chosen.



Figure 6 Feedback Diversity

 

Maximum Ratio Combining

The selection combining method does not make use of all the received power from the diversity branches, as it only selects the strongest signal. In contrast, the maximum ratio combining (MRC) technique combines signals from all branches, weighting each one based on its signal-to-noise ratio (SNR). This approach produces an average SNR that equals the sum of the average SNRs from each branch. In MRC, the signals from all channels are first aligned in phase and then weighted to achieve the highest possible SNR at the receiver. The gain assigned to each channel is proportional to its root mean square (RMS) signal level and inversely proportional to its mean square value. By adding the voltage signals coherently from each branch, MRC can effectively restore the original shape of the received signal.


Equal Gain Combiner


 



In equal gain combining, the signals from all diversity branches are aligned in phase and then combined using the same weighting factor for each branch. This method ensures that each signal contributes equally to the final output. Compared to maximal ratio combining, equal gain combining has a simpler setup. This simplicity makes it easier for the receiver to reconstruct the original signals.

Switched Combining

Switched Combining (SWC) is used because it is not practical to monitor all diversity branches at the same time in selection combining. If continuous monitoring is needed, the system would require the same number of receivers as branches, which is not efficient. SWC solves this by switching from one branch to another only when the signal strength falls below a certain threshold.

The threshold value is set for a small area, but it may not be ideal for the entire coverage area. Therefore, the threshold must be adjusted frequently, especially when the receiver, such as a moving vehicle, changes its position. Choosing the right threshold is very important: if it is set too high, the system will switch too often, causing unwanted interruptions. If it is too low, the diversity gain will be small.



In some systems, especially those using frequency hopping, switching can be done at regular intervals.

Periodic Switching Method

This method involves sequentially selecting diversity branches using a standard free-running oscillator. It is particularly effective in frequency modulation systems with large deviations and low speeds, where phase transients caused by switching can be minimized. The switching rate, the sole adjustable parameter, is typically set to twice the signal's bit rate. This ensures that the better branch is selected within each signaling period.

However, performance may degrade in adjacent-channel scenarios due to spectral folding, where the spectrum of the adjacent channel overlaps into the desired band during periodic switching at the radio frequency stage (see Figure 10). To mitigate this issue, increasing the receiver's adjacent-channel selectivity is recommended.




References

Raut, P. W., & Badjate, S. L. (2013). Diversity Techniques for Wireless Communication. International Journal of Advanced Research in Engineering and Technology (IJARET), 4(2), 144-160.

Jasmine, K., Kavitha, K., & Dhivyapraba, R. (2020). Performance Analysis of Diversity Techniques for Wireless Communication.

International Journal of Advanced Research in Electrical, Electronics and Instrumentation Engineering (IJAREEIE), 9(5), 1088-1093.

Sharma, S., & Chowdhary, P. (2018). Diversity Techniques in Wireless Communication. IRE Journals, 1(10), 96-100. ISSN: 2456-8880.

Hudiono, dkk. (2021). Sistem komunikasi radio dan laboratorium: diploma 3 politeknik.

https://electronics-club.com/diversity-techniques-in-wireless-communication/

 

BIODATA

Name : M. AZIZ PUTRAWAN

NIM : 244101060054

Class : 1A

Study Program: Digital Telecommunication  

Network

Department of Electrical Engineering




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