Skip to main content

Analog Beamforming vs Digital beamforming (2)


 

We can now cancel interference at the receiver's second antenna or antenna element using digital pre-coding techniques by canceling h12, h32, and so on. We can only use the singular value decomposition technique (SVD) and other operations at the digital pre-coding matrix to get h11, h22, and other data streams for independent data streams.


Similarly, in a MIMO system, we can consider the aforementioned for multi-user digital beamforming. Assume that there are N users connected to a base station (BS). So, we know that between the transmitter (here, BS) and the receivers, there will be a channel matrix (say, H) (here, users). We've already established that the received signal is designated as in the preceding paragraph.

y = √pHDs + n
Now, for multiuser MIMO, digital pre-coding matrix, D, can be expressed as,
D = [D1,D2,D3, … ,DN]

Where DN denotes the user N's digital pre-coder. We now delete the interference at user N by canceling all other users' links at user N with (Hu)DN = 0, where N u. Simply put, 'u' stands for user u, and all values of link contribution from other users at user u are set to zero during signal processing for user u. At the user u's signal processing, we only accept (Hu)Du; other terms such as HuD1, HuD2, and so on should be zero if a proper signal processing method is applied at the receiver side of user u.

Digital beam forming is a frequently used pre-coding technique for canceling interference between MIMO antennas at both the transmitter and receiver. It can also be used to cancel the interface between multi-user MIMO. In MIMO, we need a total number of RF chains equal to the entire number of antenna components for digital pre-coding. In a MIMO system, each RF is capable of providing a single data stream. This is acceptable for digital beam forming in lower dimensions. However, when it comes to huge MIMO transmission, point-to-point MIMO isn't actually scalable. However, as the number of antenna elements increases, the signal correlation at the receiver improves.


Analog vs Digital Beamforming:

Figure: Digital beamforming

In analog beamforming, a single data stream is transmitted using just one RF chain.
It is used to control the phases of the original signals.
For the largest antenna, more array gain is achievable.
SNR effective

Both the Phases and amplitudes are controlled using digital beamforming to eliminate interferences beforehand.
BS employs Nt antennas to simultaneously transmit Nr data streams to a user with Nr antennas (Nr < Nt)
Number of antennas at the receiver = Number of simultaneously available data streams
Using its Nt number of RF chains, the BS applies an Nt X Nr digital precoder D.
RF chain for each antenna element


# mimo beamforming  # analog beamforming


Contact Us

Name

Email *

Message *

Popular Posts

Q-function in BER vs SNR Calculation (with Simulation)

Q-function in BER vs. SNR Calculation In digital communications and signal processing, the Q-function plays a significant role in predicting system reliability. It allows engineers to quantify the probability that Gaussian noise will exceed a specific threshold, causing a bit error. What is the Q-function? The Q-function is a mathematical function representing the tail probability of the standard normal (Gaussian) distribution. It is the complementary cumulative distribution function (CCDF) of a standard Gaussian distribution. Q(x) = (1 / √(2Ï€)) ∫â‚“∞ e^(-t² / 2) dt Q-Function Interactive Simulator Move the slider to see how the "Tail Probability" (the area in red) changes. This area represents the Probability of Error (BER) . Threshold Distance ( x ) — (Simulates Increasing SNR) x = 1.0 Q(x) = 0.1587 ...

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...

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. ...

Pulse Width Modulation (PWM)

Pulse-width modulation (PWM), or pulse-duration modulation (PDM), is a method of controlling the average power delivered by an electrical signal.   Fig: An example of PWM in an idealized inductor driven by a blue line voltage source modulated as a series of sawtooth pulses, resulting in a red line current in the inductor.    Generating a PWM Signal The simplest way to generate a PWM signal is the intersection method, which requires only a sawtooth or a triangle waveform (easily generated using a simple oscillator) and a comparator. When the value of the reference signal is more than the modulation waveform, the PWM signal (magenta) is in the high state; otherwise, it is in the low state.      Duty cycle A low duty cycle equates to low power because the power is off for most of the time; the word duty cycle reflects the ratio of "on" time to the regular interval or "period" of time. The duty cycle is measured in percent, with 100% representing full o...

Frequency Shift Keying (FSK) Modulation & Demodulation (with Simulation)

Frequency Shift Keying (FSK) Theoretical Foundations: Frequency Shift Keying (FSK) is a discrete frequency modulation scheme wherein the digital information is encoded via instantaneous shifts in the carrier signal's frequency. The fundamental implementation is Binary FSK (BFSK), which maps binary data onto two distinct, discrete spectral states. A binary '1' (the "mark" state) is represented by a carrier frequency \( f_1 \), while a binary '0' (the "space" state) corresponds to frequency \( f_2 \). Each symbol is sustained for a bit interval denoted by \( T_b \). FSK Transmitter Characterization: The mathematical model for the modulated BFSK output \( s(t) \) is defined as: \[ s(t) = \begin{cases} A_c \cos(2\pi f_1 t), & \text{for } m = 1 \\ A_c \cos(2\pi f_2 t), & \text{for } m = 0 \end{cases} \] ...

FFT Butterfly Method Explained (with Example of 4-point DFT)

  FFT Using Butterfly Method Given: x[n] = {0, 1, 2, 3} Step 1: Split into Even & Odd Even indices: x e = {0, 2} Odd indices: x o = {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 k O[k] X[k + N/2] = E[k] - W k O[k] For N = 4: W 0 = 1 W 1 = -j Final Calculations X[0] = 2 + 4 = 6 X[2] = 2 - 4 = -2 X[1] = -2 + (-j)(-2) = -2 + 2j X[3] = -2 - (-j)(-2) = -2 - 2j Final Answer: X[k] = {6, -2 + 2j, -2, -2 - 2j} Try Interactive Online Simulations Interactive FFT Online Simulator (For understanding Fundamentals)  Interactive FFT Online Simulator (Analyze .CSV, .MP3, .MP4, etc. Further Reading Fourier Transform OFDM Return to Fourier Transform Main Page →

AM Modulation Online Simulator

Amplitude Modulation Simulator s AM (t) = A c [1 + k a m(t)] cos(ω c t) where, ω = 2πf & k a = Amplitude Sensitivity Modulation index, μ = k a A m Message Frequency (fm): Carrier Frequency (fc): Carrier Amplitude (Ac): Modulation Index (m = Am / Ac):