Skip to main content

Single Carrier OFDM (SC‑OFDM): Benefits over OFDM in LTE/5G Uplink


Single Carrier Orthogonal Frequency Division Multiplexing (SC-OFDM) is used for uplink communication in LTE and 5G systems. Unlike traditional OFDM, which uses multiple subcarriers, SC-OFDM employs a single carrier for transmission. This method is particularly effective for communication between a single mobile station (MS) and the base station (BS).

The Discrete Fourier Transform (DFT) operation within SC-OFDM divides the original signal into different orthogonal frequency bands, enhancing its resilience to noise and distortion. After the DFT, the Inverse Fast Fourier Transform (IFFT) is applied to convert the signal from the frequency domain back to the time domain for transmission.

SC-OFDM (Single-Carrier Orthogonal Frequency Division Multiplexing) is a variation of the traditional OFDM (Orthogonal Frequency Division Multiplexing) technique. It is particularly useful in systems where a single carrier is preferred, such as in some 5G communication systems and LTE (Long-Term Evolution) systems. SC-OFDM is used to improve spectral efficiency and reduce peak-to-average power ratio (PAPR) when compared to regular OFDM.

Block Diagram of SC-OFDM:

Data → Modulation → DFT → IFFT → Add CP → Transmit


Received Signal → Remove CP → FFT → Demodulation → Data


Key Features of SC-OFDM:

  1. Single Carrier Modulation:

    • Unlike traditional OFDM, which uses multiple subcarriers to transmit data, SC-OFDM uses a single carrier for each block of data. This reduces the complexity and makes it more power-efficient in certain contexts.


    • In OFDM / OFDMA, the data bitstream is first converted from serial to parallel blocks, each block of symbols is modulated and directly assigned to distinct subcarriers, then those are passed through an IFFT (or IDFT) to produce a time-domain signal. After that, a cyclic prefix is appended before transmission.

      In contrast, SC‑FDMA (a.k.a. DFT-spread OFDM or SC-OFDM in uplink context) includes an extra DFT precoding stage applied to the modulated symbol stream (without serial-to-parallel conversion). This spreads each data symbol across multiple frequencies. But uses single wideband carrier.


  2. Reduced PAPR:

    • One of the advantages of SC-OFDM over standard OFDM is its lower peak-to-average power ratio (PAPR). This is crucial for power efficiency, especially in wireless communication where high PAPR can lead to more power consumption, higher interference, and reduced battery life in mobile devices.









    • You can observe that for a typical OFDM signal, the sample amplitudes fluctuate more than those of SC‑OFDM. Thus, the peak‑to‑average power ratio (PAPR) of OFDM is high, which makes it less efficient in terms of signal‑transmission power and amplifier usage.

  1. Spectral Efficiency:

    • SC-OFDM can offer improved spectral efficiency in certain conditions compared to OFDM due to its use of single-carrier transmission and frequency domain equalization.


  2. Applications:

    • SC-OFDM is used in 5G New Radio (NR) for uplink transmission. In particular, it is useful for low-latency communication, where minimizing the power consumption of the uplink signal is crucial.


    • It is also applied in systems with frequency-selective channels.


Advantages of SC-OFDM:

  1. Lower PAPR: This is a major advantage, especially in wireless communication systems where power consumption is a critical factor.

  2. Reduced Interference: By using a single carrier for transmission, SC-OFDM is less prone to out-of-band emissions and other forms of interference.

  3. Better for Uplink: In cellular systems like 5G, SC-OFDM is highly advantageous for uplink transmission, where power consumption and spectral efficiency are critical.


SC-OFDM in 5G:

SC-OFDM is used in 5G's uplink due to its lower PAPR and spectral efficiency. It enables faster data rates and more efficient power usage in devices like smartphones and IoT devices, especially when sending data in high-mobility environments.


Further Reading

Contact Us

Name

Email *

Message *

Popular Posts

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) Simulato...

UGC NET Electronic Science Previous Year Question Papers

Home / Engineering & Other Exams / UGC NET 2022 PYQ 📥 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] Q. UGC Net Electronic Science Question Paper [Aug 2024] A. UGC Net Electronic Scien...

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_orde...

Theoretical vs. simulated BER vs. SNR for ASK, FSK, and PSK (MATLAB Code + Simulator)

📘 Overview 🧮 Simulator 💻 Theoretical Code 📊 Simulated Code 📚 Resources Overview BER vs. SNR denotes how many bits in error are received for a given signal-to-noise ratio, typically measured in dB. Common noise types in wireless systems: 🚀 1. Additive White Gaussian Noise (AWGN) 🌊 2. Rayleigh Fading AWGN adds random noise; Rayleigh fading attenuates the signal variably. A good SNR helps reduce these effects. Bit Error Rate (BER) Equations BER formulas for ASK, FSK, and PSK modulation schemes. ASK BER = 0.5 × erfc(0.5 × √SNR) FSK BER = 0.5 × erfc(√(SNR / 2)) PSK BER = 0.5 × erfc(√SNR) erfc / Q-function (Click here) Live BER S...

MATLAB Code for Zero-Forcing (ZF) Beamforming in 4×4 MIMO Systems

MATLAB Code for Zero-Forcing (ZF) Beamforming in 4×4 MIMO Systems clc; clear; close all; %% Parameters Nt = 4; % Transmit antennas Nr = 4; % Receive antennas (must be >= Nt for ZFBF) numBits = 1e4; % Number of bits per stream SNRdB = 0; % SNR in dB numRuns = 100; % Number of independent runs for averaging %% Precompute noise standard deviation noiseSigma = 10^(-SNRdB / 20); %% Accumulator for total errors totalErrors = 0; for run = 1:numRuns % Generate random bits: [4 x 10000] bits = randi([0 1], Nt, numBits); % BPSK modulation: 0 → +1, 1 → -1 txSymbols = 1 - 2 * bits; % Rayleigh channel matrix: [4 x 4] H = (randn(Nr, Nt) + 1j * randn(Nr, Nt)) / sqrt(2); %% === Zero Forcing Beamforming at Transmitter === W_zf = pinv(H); % Precoding matrix: [Nt x Nr] txPrecoded = W_zf * txSymbols; % Apply ZF precoding % Normalize transmit power (optional but useful) txPrecoded = txPrecoded / sqrt(mean(abs(txPrecoded(:)).^2)); %% Channel transmission with AWGN noise = noiseSigma * (randn(...

Rayleigh vs Rician Fading (with MATLAB + Simulator)

  In Rayleigh fading , the channel coefficients tend to have a Rayleigh distribution, which is characterized by a random phase and magnitude with an exponential distribution. This means the magnitude of the channel coefficient follows an exponential distribution with a mean of 1. In Rician fading , there is a dominant line-of-sight component in addition to the scattered components. The channel coefficients in Rician fading can indeed tend towards 1, especially when the line-of-sight component is strong. When the line-of-sight component dominates, the Rician fading channel behaves more deterministically, and the channel coefficients may tend towards the value of the line-of-sight component, which could be close to 1.   MATLAB Script clc; clear all; close all; % Define parameters numSamples = 1000; % Number of samples K_factor = 5; % K-factor for Rician fading SNR_dB = 20; % Signal-to-noise ratio (in dB) % Generate complex Gaussian random variable for Rayleigh fading channel h_r...

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 for a...

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 📚 Resources Definitions Constellation Tool Key Points MATLAB Code 📂 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...