Performance analysis of sparse code multiple access with variant MIMO techniques

Jibreel, Nareeman; Elkawafi, Salma; Younis, Abdelhamid; Mesleh, Raed

doi:10.1016/j.phycom.2020.101023

Cited by 7 publications

(10 citation statements)

References 17 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…An algorithm for modulation purposes of OFDMA signal using CWT is investigated. This algorithm is proposed for multidimensional signal processing in previous works [5,30,[34][35][36] is presented in Fig. (2).…”

Section: Complex Transform Based Ofdma Systemmentioning

confidence: 99%

“…An algorithm presented to reduce the PAPR of the modulated OFDMA signal is shown in Fig. (5). This algorithm depends on the detection of maximum peaks of the HPA output signal.…”

Section: Ofdma Signal Recovery Algorithmmentioning

confidence: 99%

“…By counting the numbers of errors at the receiver with enough symbols registered, BER can be calculated directly. A precise and highly efficient BER estimate is therefore preferred to be used to understand, design, and optimize an OFDMA system [5,12,30]. Consequently, an algorithm that shows the channel fading effect on the modulated OFDMA signal is shown in Fig.…”

Section: Ber Under Channel Fading Algorithmmentioning

confidence: 99%

“…This may be due to its high spectral efficiency. Thus, OFDMA is a promising high-capacity data transmission technique [3].OFDMA reduces the inter-symbol interference and the inter-channel interference from the received signal [4][5][6][7][8]. Hence, OFDMA is a widely applied technique for wireless communications.…”

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Development of Signal Recovery Algorithm for Overcoming PAPR in OFDMA Communication System

Emarah

Tokhy

Kasban

2021

Arab Journal of Nuclear Sciences and Applications

View full text Add to dashboard Cite

This paper focuses on overcoming the high Peak to Average Power Ratio challenging within Orthogonal Frequency Division Multiplexing Asynchronous (OFDMA) communication system. This signal is modulated using differential phase-shift keying and quadrature amplitude modulation techniques. It is degraded under different noise attacks. Signal recovery algorithms are supposed for overcoming the high peak power problem. This issue is resolved through the detection of maximum peaks within threshold peak values of the power amplifier output signal. Additionally, these peaks are identified depending on the extracted power density and order statistics features. This system is trained using an artificial neural network under different channel impairments. Besides, the error rate of this network is computed in presence of different channel fadings. Rayleigh fading imposes the best performance for the transmitted OFDMA signal. Moreover, recognition of 100% is attained using the high order statistics compared to the power density features in presence of noise attacks.

show abstract

Section: Complex Transform Based Ofdma Systemmentioning

confidence: 99%

“…An algorithm presented to reduce the PAPR of the modulated OFDMA signal is shown in Fig. (5). This algorithm depends on the detection of maximum peaks of the HPA output signal.…”

Section: Ofdma Signal Recovery Algorithmmentioning

confidence: 99%

Section: Ber Under Channel Fading Algorithmmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Development of Signal Recovery Algorithm for Overcoming PAPR in OFDMA Communication System

Emarah

Tokhy

Kasban

2021

Arab Journal of Nuclear Sciences and Applications

View full text Add to dashboard Cite

show abstract

“…11,12 Another MIMO technique that promises to alleviate many of the existing challenges is foreseen in space modulation techniques (SMTs). 10,[13][14][15][16][17] SMTs utilized the MIMO channel in a different manner, where the differentiable channel paths are considered as data symbols and used to convey data bits. In general, it has been shown in the literature that SMTs can be implemented with a maximum of single RF chain at the transmitter, regardless how many transmit antennas exist, 11 along with high spectral efficiency, high energy efficiency, and low implementation costs.…”

Section: Introductionmentioning

confidence: 99%

Capacity analysis of cooperative amplify and forward multiple‐input multiple‐output systems

Eltira

Jibreel

Younis

et al. 2021

Trans Emerging Tel Tech

Self Cite

View full text Add to dashboard Cite

The capacity and mutual information of amplify and forward (AF) cooperative multiple-input multiple-output (MIMO) systems with direct link are studied and analyzed in this article. Specifically, the capacities of space modulation techniques (SMTs)-AF and spatial multiplexing (SMX)-AF cooperative systems are derived, and the conditions under which the capacity is accomplished are discussed and interpreted. The impact of varying system and channel parameters on the capacity is studied and discussed. As well, the impact of the presence or the absence of the direct link on the capacity performance is discussed. It is revealed that the capacity can be attained if the distribution of both direct and cooperative links follow complex Gaussian distribution. The capacity of SMTs-AF systems is shown to be higher than that of SMX-AF counterparts. As well, the capacity of SMTs-AF is shown to be independent of the fading channel distribution as the channel is a source of spatial symbols in SMTs. Additionally, it is disclosed that the capacity performance is significantly enhanced in the presence of the direct link and adding more AF relays enhances the performance.

show abstract

Particle swarm optimization of the spectral and energy efficiency of an SCMA‐based heterogeneous cellular network

Noma‐Osaghae

Misra

Ahuja

et al. 2022

Trans Emerging Tel Tech

View full text Add to dashboard Cite

Background: The effect of stochastic small base station (SBS) deployment on the energy efficiency (EE) and spectral efficiency (SE) of sparse code multiple access (SCMA)-based heterogeneous cellular networks (HCNs) is still mostly unknown.Aim: This research study seeks to provide insight into the interaction between SE and EE in SBS sleep-mode enabled SCMA-based HCNs.Methodology: A model that characterizes the energy-spectral-efficiency (ESE) of a two-tier SBS sleep-mode enabled SCMA-based HCN was derived. A multiobjective optimization problem was formulated to maximize the SE and EE of the SCMA-based HCN simultaneously. The multiobjective optimization problem was solved using a proposed weighted sum modified particle swarm optimization algorithm (PSO). A comparison was made between the performance of the proposed weighted sum modified PSO algorithm and the genetic algorithm (GA) and the case where the SCMA-based HCN is unoptimized. Results: The Pareto-optimal front generated showed a simultaneous maximization of the SE and EE of the SCMA-based HCN at high traffic levels and a convex front that allows network operators to select the SE-EE tradeoff at low traffic levels flexibly. The proposed PSO algorithm offers a higher SBS density, and a higher SBS transmit power at high traffic levels than at low traffic levels. The unoptimized SCMA-based HCN achieves an 80% lower SE and a 51% lower EE than the proposed PSO optimized SCMA-based HCN. The optimum SE and EE achieved by the SCMA-based HCN using the proposed PSO algorithm or the GA are comparable, but the proposed PSO uses a 51.85% lower SBS density and a 35.96% lower SBS transmit power to achieve the optimal SE and EE at moderate traffic levels. Conclusion:In sleep-mode enabled SCMA-based HCNs, network engineers have to decide the balance of SBS density and SBS transmit power that helps achieve the desired SE and EE.

show abstract

Performance analysis of sparse code multiple access with variant MIMO techniques

Cited by 7 publications

References 17 publications

Development of Signal Recovery Algorithm for Overcoming PAPR in OFDMA Communication System

Development of Signal Recovery Algorithm for Overcoming PAPR in OFDMA Communication System

Capacity analysis of cooperative amplify and forward multiple‐input multiple‐output systems

Particle swarm optimization of the spectral and energy efficiency of an SCMA‐based heterogeneous cellular network

Contact Info

Product

Resources

About