A new hybrid multicarrier transmission technique with iterative frequency domain detection

Fernandes, Telmo R.; Pereira, A. J. S. C.; Gomes, Marco; Silva, Vítor; Dinis, Rui

doi:10.1016/j.phycom.2017.12.014

Cited by 8 publications

(24 citation statements)

References 17 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…This brought the need for the development of new techniques as alternatives to CP-OFDM, with greater spectral and power efficiency. Within the context of 5G and further generations of wireless communications, many alternative waveforms have been the subject of many recent studies [4,11,12,[34][35][36][37][38][39][40], with several techniques being proposed as Generalized Frequency Division Multiplexing (GFDM) [41][42][43], Filtered-OFDM (F-OFDM) [44,45], the Time Interleaved Block Windowed Burst Orthogonal Frequency Division Multiplexing (TIBWB-OFDM) technique [46][47][48] and its variant with windowing time overlapping (WTO) [49,50].…”

Section: Orthogonal Frequency Division Multiplexingmentioning

confidence: 99%

“…The TIBWB-OFDM was proposed in [46,47] and is based on BWB-OFDM [62]. This new waveform allows a better spectral efficiency, by employing transmitted signals with a PSD as compact as F-OFDM schemes and a better power efficiency when compared to conventional CP-OFDM schemes [62].…”

Section: Tibwb-ofdmmentioning

confidence: 99%

“…The greater spectral efficiency is obtained by increasing the spectral confinement and lowering the OOB emissions of the signal transmitted through the use of windowing techniques. The increase in power efficiency is obtained by concatenating a number of OFDM symbols, to which a single prefix of zeros is added, thereby eliminating the need of a CP [47]. Furthermore, this modulation technique performs a time-interleave operation between the samples of the various OFDM symbols that make up the overall BWB-OFDM multi-symbol [62].…”

Section: Tibwb-ofdmmentioning

confidence: 99%

“…Figure 4a depicts the TIBWB-OFDM transmitter. The time interleave operation is performed after the cyclic extension and windowing operation and causes the compression and replication of the spectral data over the occupied bandwidth, creating a diversity effect in the frequency domain, thus increasing the robustness of the method against deep fading of the communication channel, by allowing partial data recover from eventual unaffected spectrum replicas [46,47].…”

Section: Tibwb-ofdmmentioning

confidence: 99%

“…Afterwards, the cyclic extension and windowing operations is applied to each one of s i , to perform spectral shaping [46]. Windowing employs a square root raised cosine (SRRC) pulse shape where β ≤ 1 represents the window roll-off as in [46,47].…”

Section: Tibwb-ofdmmentioning

confidence: 99%

See 4 more Smart Citations

A Survey of Candidate Waveforms for beyond 5G Systems

et al. 2020

Self Cite

View full text Add to dashboard Cite

The 5G and beyond future wireless networks aim to support a large variety of services with increasing demand in terms of data rate and throughput while providing a higher degree of reliability, keeping the overall system complexity affordable. One of the key aspects regarding the physical layer architecture of such systems is the definition of the waveform to be used in the air interface. Such waveforms must be studied and compared in order to choose the most suitable and capable of providing the 5G and beyond services requirements, with flexible resource allocation in time and frequency domains, while providing high spectral and power efficiencies. In this paper, several beyond 5G waveforms candidates are presented, along with their transceiver architectures. Additionally, the associated advantages and disadvantages regarding the use of these transmission techniques are discussed. They are compared in a similar downlink transmission scenario where three main key performance indicators (KPIs) are evaluated. They are the peak-to-average power ratio, the overall system spectral efficiency (wherein the out of band emissions are measured, along with the spectral confinement of the power spectral density of the transmitted signals) and the bit error rate performance. Additionally, other KPIs are discussed.

show abstract