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

People are good at skipping over material they already know!

View Related Topics to







Contact Us

Name

Email *

Message *

Popular Posts

Theoretical BER vs SNR for binary ASK, FSK, and PSK

📘 Overview & Theory 🧮 MATLAB Codes 📚 Further Reading Theoretical BER vs SNR for Amplitude Shift Keying (ASK) The theoretical Bit Error Rate (BER) for binary ASK depends on how binary bits are mapped to signal amplitudes. For typical cases: If bits are mapped to 1 and -1, the BER is: BER = Q(√(2 × SNR)) If bits are mapped to 0 and 1, the BER becomes: BER = Q(√(SNR / 2)) Where: Q(x) is the Q-function: Q(x) = 0.5 × erfc(x / √2) SNR : Signal-to-Noise Ratio N₀ : Noise Power Spectral Density Understanding the Q-Function and BER for ASK Bit '0' transmits noise only Bit '1' transmits signal (1 + noise) Receiver decision threshold is 0.5 BER is given by: P b = Q(0.5 / σ) , where σ = √(N₀ / 2) Using SNR = (0.5)² / N₀, we get: BER = Q(√(SNR / 2)) Theoretical BER vs ...

BER vs SNR for M-ary QAM, M-ary PSK, QPSK, BPSK, ...

📘 Overview of BER and SNR 🧮 Online Simulator for BER calculation of m-ary QAM and m-ary PSK 🧮 MATLAB Code for BER calculation of M-ary QAM, M-ary PSK, QPSK, BPSK, ... 📚 Further Reading 📂 View Other Topics on M-ary QAM, M-ary PSK, QPSK ... 🧮 Online Simulator for Constellation Diagram of m-ary QAM 🧮 Online Simulator for Constellation Diagram of m-ary PSK 🧮 MATLAB Code for BER calculation of ASK, FSK, and PSK 🧮 MATLAB Code for BER calculation of Alamouti Scheme 🧮 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...

Comparisons among ASK, PSK, and FSK | And the definitions of each

📘 Comparisons among ASK, FSK, and PSK 🧮 Online Simulator for calculating Bandwidth of ASK, FSK, and PSK 🧮 MATLAB Code for BER vs. SNR Analysis of ASK, FSK, and PSK 📚 Further Reading 📂 View Other Topics on Comparisons among ASK, PSK, and FSK ... 🧮 Comparisons of Noise Sensitivity, Bandwidth, Complexity, etc. 🧮 MATLAB Code for Constellation Diagrams of ASK, FSK, and PSK 🧮 Online Simulator for ASK, FSK, and PSK Generation 🧮 Online Simulator for ASK, FSK, and PSK Constellation 🧮 Some Questions and Answers Modulation ASK, FSK & PSK Constellation MATLAB Simulink MATLAB Code Comparisons among ASK, PSK, and FSK    Comparisons among ASK, PSK, and FSK Comparison among ASK, FSK, and PSK Parameters ASK FSK PSK Variable Characteristics Amplitude Frequency ...

Constellation Diagrams of ASK, PSK, and FSK

📘 Overview of Energy per Bit (Eb / N0) 🧮 Online Simulator for constellation diagrams of ASK, FSK, and PSK 🧮 Theory behind Constellation Diagrams of ASK, FSK, and PSK 🧮 MATLAB Codes for Constellation Diagrams of ASK, FSK, and PSK 📚 Further Reading 📂 Other Topics on Constellation Diagrams of ASK, PSK, and FSK ... 🧮 Simulator for constellation diagrams of m-ary PSK 🧮 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...

UGC NET Electronic Science Previous Year Question Papers

Home / Engineering & Other Exams / UGC NET 2022: Previous Year Question Papers ... UGC-NET (Electronics Science, Subject code: 88) UGC Net Electronic Science Question Paper With Answer Key Download Pdf [December 2024] UGC Net Electronic Science Question Paper With Answer Key Download Pdf [June 2024] UGC Net Electronic Science Question Paper With Answer Key Download Pdf [December 2023] UGC Net Electronic Science Question Paper With Answer Key Download Pdf [June 2023] UGC Net Electronic Science Question Paper With Answer Key Download Pdf [December 2022] UGC Net Electronic Science Question Paper With Answer Key Download Pdf [June 2022] UGC Net Electronic Science Question Paper With Answer Key Download Pdf [December 2021] UGC Net Electronic Science Question With Answer Key Download Pdf [June 2020] UGC Net Electronic Science Question With Answer Key Download Pdf [December 2019] UGC Net Elec...

Theoretical vs. simulated BER vs. SNR for ASK, FSK, and PSK

📘 Overview 🧮 Simulator for calculating BER 🧮 MATLAB Codes for calculating theoretical BER 🧮 MATLAB Codes for calculating simulated BER 📚 Further Reading 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. Simulator for calculating BER vs SNR for binary ASK, FSK, and PSK Calculate BER for Binary ASK Modulation Enter SNR (dB): Calculate BER Calculate BER for Binary FSK Modulation Enter SNR (dB): Calculate BER Calculate BER for Binary PSK Modulation Enter SNR (dB): Calculate BER BER vs. SNR Curves MATLAB Code for Theoretical BER % The code is written by SalimWireless.Com clc; clear; close all; % SNR v...

MATLAB code for BER vs SNR for M-QAM, M-PSK, QPSk, BPSK, ...

🧮 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; num_symbols = 1e5; snr_db = -20:2:20; 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) psk_order = psk_orders(i); for j = 1:length(snr_db) data_symbols = randi([0, psk_order-1], 1, num_symbols); modulated_signal = pskmod(data_symbols, psk_order, pi/psk_order); received_signal = awgn(modulated_signal, snr_db(j), 'measured'); demodulated_symbols = pskdemod(received_signal, psk_order, pi/psk_order); ber_psk_results(i, j) = sum(data_symbols ~= demodulated_symbols) / num_symbols; end end for i...

Gaussian minimum shift keying (GMSK)

📘 Overview & Theory 🧮 Simulator for GMSK 🧮 MSK and GMSK: Understanding the Relationship 🧮 MATLAB Code for GMSK 📚 Simulation Results for GMSK 📚 Q & A and Summary 📚 Further Reading Dive into the fascinating world of GMSK modulation, where continuous phase modulation and spectral efficiency come together for robust communication systems! Core Process of GMSK Modulation Phase Accumulation (Integration of Filtered Signal) After applying Gaussian filtering to the Non-Return-to-Zero (NRZ) signal, we integrate the smoothed NRZ signal over time to produce a continuous phase signal: θ(t) = ∫ 0 t m filtered (τ) dτ This integration is crucial for avoiding abrupt phase transitions, ensuring smooth and continuous phase changes. Phase Modulation The next step involves using the phase signal to modulate a...