Performance analysis of CE-OFDM-CPM Modulation using MIMO system over wireless channels

Mestoui, Jamal; Ghzaoui, Mohammed El; Fattah, Mohammed; Hmamou, Abdelmounim; Foshi, Jaouad

doi:10.1007/s12652-019-01628-0

Cited by 18 publications

(4 citation statements)

References 13 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The objective of [50] is to study the changes in the categorization performance with the parameters of signal processing and the procedures of extracting characteristics applicable to backscattered signals from the UWB radar [51][52][53][54]. In the literature, many algorithms have been used for classification.…”

Section: Classifiersmentioning

confidence: 99%

See 1 more Smart Citation

Artificial Intelligence Approach for Target Classification: A State of The Art

Abdellaoui¹,

Daghouj²,

Fattah³

et al. 2020

Adv. sci. technol. eng. syst. j.

Self Cite

View full text Add to dashboard Cite

The classification of static or mobile objects, from a signal or an image containing information as to their structure or their form, constitutes a constant concern of specialists in the electronic field. The remarkable progress made in past years, particularly in the development of neural networks and artificial intelligence systems, has further accentuated this trend. The fields of application and potential uses of Artificial Intelligence are increasingly diverse: understanding of natural language, visual recognition, robotics, autonomous system, Machine learning, etc. This paper is a state of the art on the classification of radar signals. It focuses on the contribution of artificial intelligence to the latter without forgetting target tracking. This by evoking the different feature extractors, classifiers and the existing identification deep learning algorithms. We detail also the process allowing carrying out this classification.

show abstract

Section: Classifiersmentioning

confidence: 99%

“…Artificial intelligence (AI) has come to the fore in recent years. It is used in several applications for various disciplines [41][42][43][44][45][46][47][48][49][50][51][52][53][54]. Artificial Intelligence (AI) as we know it is weak Artificial Intelligence, as opposed to strong AI, which does not exist yet.…”

Section: Introduction To Artificial Intelligencementioning

confidence: 99%

Artificial Intelligence Approach for Target Classification: A State of The Art

Abdellaoui¹,

Daghouj²,

Fattah³

et al. 2020

Adv. sci. technol. eng. syst. j.

Self Cite

View full text Add to dashboard Cite

show abstract

“…The 5G is expected to support theoretical download speeds about of 10 Gbps versus 1 Gbps for 4G, with a latency less than 1ms versus 60-98 ms and 212 ms for 4G and 3G respectively [1]. In order to reach the highest speed broadband for 5G [2]- [4], the integration of millimeter frequencies promises a hyper-connected world in terms of speed, latency, reliability and capacity. The 26 GHz and / or 28 GHz bands are the most recommended by 5G actors for their large potential harmonization and low complexity equipment [5], [6].…”

Section: Introductionmentioning

confidence: 99%

Study and Design of a MMIC Voltage Controlled Oscillator for 5G mm-wave band Applications

Es-Saqy¹

2020

IJATCSE

View full text Add to dashboard Cite

A design of voltage controlled oscillator (VCO) in the 5G mm-wave band is presented in this paper. The circuit is designed in Monolithic Microwave Integrated Circuit (MMIC) technology in PH15 process from UMS foundry using ADS software from Agilent. This oscillator will be suitable for wireless communication systems of the next generation 5G mm-wave band. The simulation results show that the designed circuit can deliver a quasi-sinusoidal signal with an output power up to 5 dBm for an oscillation frequency of 28.02 GHz with a rejection rate of 25 dB for the second harmonic. This VCO consumes 76 mW and exhibits a tuning range of 1.77 GHz with a good linearity over the entire range. The phase noise achieved is about -100.9 dBc / Hz at a 1 MHz offset and a good figure of merit (FOM) of -180.37 dBc / Hz. The total area occupied by this VCO is 0.25 mm 2 .

show abstract

“…More applications of CE-OFDM are detailed in [20]. In [21], [22], the authors proposed a CE-OFDM-CPM scheme using Multiple-Input Multiple-Output (MIMO) to increase the capacity of the OFDM system.…”

mentioning

confidence: 99%

Theoretical Analysis and Performance Comparison of Multi-carrier Waveforms for 5G Wireless Applications

Mestoui

Ghzaoui

2021

IJIE

Self Cite

View full text Add to dashboard Cite

Fifth generation (5G) wireless technology is a new wireless communication system that must meet different complementary needs: the high data rate for mobile services, low energy consumption and long-range for connected objects, low latency to ensure real-time communication for critical applications and, high spectral efficiency to improve the overall system capacity. The waveforms and associated signal processing present a real challenge in the implementation of each generation of wireless communication networks. Different research works have discussed this topic; but, these works are limited to the Filter-Bank Multi-Carrier (FBMC), Universal Filtered Multi-Carrier (UFMC), and Filtered Orthogonal Frequency-Division Multiplexing (F-OFDM) waveforms. In this work, we review the technical basics of the physical layer for the LTE system which uses, OFDM modulation for the downlink and the single carrier frequency division multiple access (SC-FDMA) technique for the uplink. Besides, this paper presents the diverse waveforms candidate for 5G systems, including, FBMC, UFMC, and F-OFDM, and compares these techniques with Constant Envelope-OFDM (CE-OFDM), which is an advantageous form regarding power consumption, especially for battery-powered devices. Simulations are carried out to compare the performance of the OFDM, CE-OFDM, F-OFDM, UFMC, and FBMC in terms of power spectral density (PSD) and Bit Error Rate (BER). It has been demonstrated that (CE-OFDM) constitutes a more efficient solution in terms of energy consumption than the other technics. By comparison with the other technics, the CE-OFDM scheme performances, in terms of BER and PSD, are controllable by the values of its parameters (M, h, and J). This advantage gives designers of the system to consider the mutual choice between spectral efficiency and the BER. Moreover, the (F-OFDM), (UFMC), and (FBMC) schemes could constitute a more efficient solution in terms of power spectral density. It can be concluded from this paper that CE-OFDM wave form gives the best performance in terms of power consumption by reducing the Peak to Average Power Ratio (PAPR) associated with the OFDM system and FBMC is an efficiency technique to reduce the inter-carrier interference (ICI).

show abstract

Performance analysis of CE-OFDM-CPM Modulation using MIMO system over wireless channels

Cited by 18 publications

References 13 publications

Artificial Intelligence Approach for Target Classification: A State of The Art

Artificial Intelligence Approach for Target Classification: A State of The Art

Study and Design of a MMIC Voltage Controlled Oscillator for 5G mm-wave band Applications

Theoretical Analysis and Performance Comparison of Multi-carrier Waveforms for 5G Wireless Applications

Contact Info

Product

Resources

About