Loading [MathJax]/extensions/MathZoom.js

Olutayo O. Oyerinde - IEEE Xplore Author Profile

IEEE.org
IEEE Xplore
IEEE SA
IEEE Spectrum
More Sites

- Donate
- Personal Sign In

Institutional Sign In

Institutional Sign In

ADVANCED SEARCH

Author details

Olutayo O. Oyerinde

Also published under: Olutayo Oyerinde, Olutayo Oyeyemi Oyerinde, O. O. Oyerinde, Olutayo Oyevyemi Oyerinde

Publications

61

Citations

296

Publications by Year

20052025

Co-Authors:

Adeola AdisaWaheed M. AuduKalapraveen BagadiMuyiwa B. BalogunSławomir Bujnowski

Show All Co-Authors (27)

Olutayo O. Oyerinde

Also published under: Olutayo Oyerinde, Olutayo Oyeyemi Oyerinde, O. O. Oyerinde, Olutayo Oyevyemi Oyerinde

Affiliation

Faculty of Telecommunications

Computer Science and Electrical Engineering

Bydgoszcz University of Science and Technology, Bydgoszcz, Poland

School of Electrical and Information Engineering

University of the Witwatersrand at Johannesburg

Johannesburg, South Africa

Publication Topics

Channel Estimation,
Base Station,
Minimum Mean Square Error,
Normalized Mean Square Error,
Sparsity,
Angle Of Arrival,
Channel Estimation Scheme,
Channel Model,
Computational Cost,
Convolutional Neural Network,
Cost Of Computational Complexity,
Mean Square Error

Biography

Olutayo O Oyerinde (Senior Member, IEEE) received the Ph.D. degree in electronic engineering from the University of KwaZulu-Natal, Durban, South Africa, in 2011. Since 2013, he has been with the School of Electrical and Information Engineering, University of the Witwatersrand, Johannesburg, South Africa, where he is currently an Associate Professor.,He is a National Research Foundation (NRF) Rated Scientist, a Registered Professional Engineer (Pr.Eng.) with the Engineering Council of South Africa (ECSA), a Registered Engineer (R.Eng.) with COREN, and a Corporate Member of NSE. His current research interests include wireless communications, 5G and beyond 5G technologies, cognitive radio networks, and signal processing techniques for wireless...

Publications

61

Citations

296

Publications by Year

20052025

Co-Authors:

Adeola Adisa
Waheed M. Audu
Kalapraveen Bagadi
Muyiwa B. Balogun
Sławomir Bujnowski

Show All Co-Authors (27)

Author's Published Works

Search History

Showing 1-25 of 61 results

Conferences (51)

Journals (9)

Early Access Articles (1)

Sort

Filter Results

Show

Open Access Only

Range
Single Year
Olutayo O. Oyerinde(31)
Olutayo Oyeyemi Oyerinde(19)
Stanley H. Mneney(16)
Fambirai Takawira(8)
Muyiwa B. Balogun(7)
School of Electrical and Information Engineering, University of the Witwatersrand, Johannesburg, South Africa(27)
School of Electrical, Electronic and Computer Engineering, University of KwaZulu-Natal, Durban, South Africa(8)
School of Electrical & Information Engineering, University of the Witwatersrand, Johannesburg, South Africa(3)
University of the Witwatersrand, Johannesburg-Braamfontein, Gauteng, ZA(3)
Department of Electrical and Electronic Engineering, Stellenbosch University, Matieland, South Africa(3)
IEEE Access(6)
2017 IEEE AFRICON(4)
2017 Global Wireless Summit (GWS)(3)
2019 IEEE 2nd Wireless Africa Conference (WAC)(3)
2019 IEEE AFRICON(3)
IEEE(61)
Cape Town, South Africa(8)
Accra, Ghana(3)
Atlantic City, NJ, USA(3)
Pretoria, South Africa(3)
Aalborg, Denmark(2)
Channel Estimation(30)
Mean Square Error(27)
Fading Channel(23)
Orthogonal Frequency Division Multiplexing(23)
Additive Noise(22)

Select All on Page

Sort By

Results

Machine Learning-Based Channel Estimation for Multi-RIS-Assisted mmWave massive-MIMO OFDM System in a Dynamic Environment

Thabang C. Rapudu;Olutayo O. Oyerinde

IEEE Transactions on Wireless Communications

Year: 2025 | Early Access Article |

Wireless communication in high obscurity environments is not effective especially for millimeter-wave (mmWave) frequencies due to propagation challenges. It is therefore, necessary to deploy multiple reconfigurable intelligent surfaces (multi-RISs) and massive multiple-input multiple-output (massive-MIMO) systems to circumvent the propagation challenges in such environments for effective communica...Show More

Machine Learning-Based Channel Estimation for Multi-RIS-Assisted mmWave massive-MIMO OFDM System in a Dynamic Environment

Thabang C. Rapudu;Olutayo O. Oyerinde

IEEE Transactions on Wireless Communications

Year: 2025 | Early Access Article |

Maximum Likelihood Estimators of Generalized Gaussian Distribution With an ℍ-Proper Quaternion Random Variable

Robert Krupiński;Tomasz Marciniak;Olutayo O. Oyerinde

Year: 2024 | Volume: 12 | Journal Article |

HTML

The currently known generalized Gaussian distributions (GGD) with an augmented quaternion random variable are based on the 3D GGD distribution. That is, they are based on random variables with three components. In this article, GGD for an augmented quaternion random variable based on GGD for a random variable with four components is given. Then the distribution obtained is simplified for an $\mat...Show More

Maximum Likelihood Estimators of Generalized Gaussian Distribution With an ℍ-Proper Quaternion Random Variable

Robert Krupiński;Tomasz Marciniak;Olutayo O. Oyerinde

Year: 2024 | Volume: 12 | Journal Article |

Remodelled and Reduced complexity-OMP-based Channel Estimation Schemes for Intelligent Reflecting Surface-Aided Millimeter Wave Systems

Olutayo Oyeyemi Oyerinde;Adam Flizikowski;Tomasz Marciniak

2023 16th International Conference on Signal Processing and Communication System (ICSPCS)

Year: 2023 | Conference Paper |

Cited by: Papers (1)

HTML

Intelligent reflecting surface (IRS) has been put forward as one of the key candidate technologies to achieve high spectrum efficiency. However, to reach its full potential there is a need for the availability of accurate channel state information, which is quite challenging to estimate. This paper, therefore, focuses on proposing two compressive sensing algorithm-based channel estimation schemes ...Show More

Remodelled and Reduced complexity-OMP-based Channel Estimation Schemes for Intelligent Reflecting Surface-Aided Millimeter Wave Systems

Olutayo Oyeyemi Oyerinde;Adam Flizikowski;Tomasz Marciniak

2023 16th International Conference on Signal Processing and Communication System (ICSPCS)

Year: 2023 | Conference Paper |

Hybrid SOMP-MUSIC-Based Channel Estimation Scheme for Terahertz Massive MIMO-OFDM Systems

Olutayo Oyeyemi Oyerinde

2023 IEEE 97th Vehicular Technology Conference (VTC2023-Spring)

Year: 2023 | Conference Paper |

Cited by: Papers (2)

HTML

The channel estimation procedure is quite challenging in Terahertz (THz)-band communication systems due to the beam-split effect. This occurrence emerges in ultra-broadband THz signals that have large fractional bandwidths. In such a scenario, the components of the THz path at various subcarriers split into diverse spatial directions with the consequence of array gain loss. This results in a beam ...Show More

Hybrid SOMP-MUSIC-Based Channel Estimation Scheme for Terahertz Massive MIMO-OFDM Systems

Olutayo Oyeyemi Oyerinde

2023 IEEE 97th Vehicular Technology Conference (VTC2023-Spring)

Year: 2023 | Conference Paper |

Modified User Grouping and Hybrid Precoding for Information Decoding and Energy Harvesting in Hardware Impaired Point-To-Point MM-Wave Massive MIMO NOMA

Waheed M. Audu;Olutayo O. Oyerinde

Year: 2023 | Volume: 11 | Journal Article |

Cited by: Papers (5)

HTML

The fifth generation (5G) and beyond 5G race covers both spectral-efficient and energy-efficient mechanisms such as simultaneous wireless information decoding and energy harvesting (SWIDEH). Structured as full or sub-connection of hybrid-precoded mm-wave massive multiple-input multiple-output non-orthogonal multiple access (NOMA) systems. However, the more practical hardware-impaired (HI) function...Show More

Modified User Grouping and Hybrid Precoding for Information Decoding and Energy Harvesting in Hardware Impaired Point-To-Point MM-Wave Massive MIMO NOMA

Waheed M. Audu;Olutayo O. Oyerinde

Year: 2023 | Volume: 11 | Journal Article |

Design of an Efficient Distracted Driver Detection System: Deep Learning Approaches

Naveen Kumar Vaegae;Kranthi Kumar Pulluri;Kalapraveen Bagadi;Olutayo O Oyerinde

Year: 2022 | Volume: 10 | Journal Article |

Cited by: Papers (14)

HTML

Distracted driving is any activity that deviates an individual’s attention from driving. Some of these activities include talking to people in the vehicle, using hand-held devices such as mobile phones or tablets, eating or drinking, and adjusting the stereo or navigation systems while driving. To counter the effects caused by distracted driving, many countries around the world have imposed rules ...Show More

Design of an Efficient Distracted Driver Detection System: Deep Learning Approaches

Naveen Kumar Vaegae;Kranthi Kumar Pulluri;Kalapraveen Bagadi;Olutayo O Oyerinde

Year: 2022 | Volume: 10 | Journal Article |

Recast Subspace Pursuit-based Channel Estimation for Hybrid Beamforming NarrowBand Millimeter-Wave Massive MIMO Systems

Olutayo Oyeyemi Oyerinde

2022 IEEE 95th Vehicular Technology Conference: (VTC2022-Spring)

Year: 2022 | Conference Paper |

Cited by: Papers (4)

HTML

Millimeter wave (mmWave) wireless communication systems with hybrid beamforming require reliable estimation of channel state information to perform optimally. Though the combined high-speed analog-to-digital converters (ADCs) and hybrid precoder/combiner architecture of this system ameliorate the problem of high-power consumption, they make channel estimation to become cumbersome. The paper propos...Show More

Recast Subspace Pursuit-based Channel Estimation for Hybrid Beamforming NarrowBand Millimeter-Wave Massive MIMO Systems

Olutayo Oyeyemi Oyerinde

2022 IEEE 95th Vehicular Technology Conference: (VTC2022-Spring)

Year: 2022 | Conference Paper |

Adjusted Orthogonal Matching Pursuit based Channel Estimation for Hybrid Beamforming Millimeter Wave Wireless Communication Systems

Olutayo Oyeyemi Oyerinde;Adam Flizikowski;Tomasz Marciniak

2021 15th International Conference on Signal Processing and Communication Systems (ICSPCS)

Year: 2021 | Conference Paper |

Cited by: Papers (4)

HTML

The paper considers Millimeter Wave Wireless Communication systems based on hybrid precoder-combiner structure with low-bit resolution analog-to-digital converters (ADCs). Though the hybrid precoder-combiner structure and low-bit resolution ADCs address the problem of huge power consumption in the system, channel estimation for the system is cumbersome. In this paper, a new channel estimation sche...Show More

Adjusted Orthogonal Matching Pursuit based Channel Estimation for Hybrid Beamforming Millimeter Wave Wireless Communication Systems

Olutayo Oyeyemi Oyerinde;Adam Flizikowski;Tomasz Marciniak

2021 15th International Conference on Signal Processing and Communication Systems (ICSPCS)

Year: 2021 | Conference Paper |

The possibility of equalising the transmission properties of networks described by chordal rings

Sławomir Bujnowski;Beata Marciniak;Olutayo Oyeyemi Oyerinde;Zbigniew Lutowski;Adam Flizikowski;Sebastián García Galán

2021 15th International Conference on Signal Processing and Communication Systems (ICSPCS)

Year: 2021 | Conference Paper |

Cited by: Papers (3)

HTML

This paper includes the analysis and the results of the study of the possibility of equalising the transmission properties of networks described by chordal rings with an equal number and degree of nodes, differing in the values of basic parameters, i.e. the diameter and average path length, while minimising the network resources used for the transmission of information. It was assumed that this al...Show More

The possibility of equalising the transmission properties of networks described by chordal rings

Sławomir Bujnowski;Beata Marciniak;Olutayo Oyeyemi Oyerinde;Zbigniew Lutowski;Adam Flizikowski;Sebastián García Galán

2021 15th International Conference on Signal Processing and Communication Systems (ICSPCS)

Year: 2021 | Conference Paper |

Adaptive Step Size Iterative Hard Thresholding-based Time-Varying Sparse Channel Estimator

Olutayo Oyeyemi Oyerinde

2021 IEEE AFRICON

Year: 2021 | Conference Paper |

HTML

This paper focuses on addressing an issue related to the estimation of channels that are both time-varying and sparse in broadband wireless communication systems. To ensure coherent detection of a transmitted signal, there is a need for robust tracking and estimation of the sparse channel. An enhanced time-varying sparse channel estimator is proposed based on the exploitation of inherent temporal ...Show More

Adaptive Step Size Iterative Hard Thresholding-based Time-Varying Sparse Channel Estimator

Olutayo Oyeyemi Oyerinde

2021 IEEE AFRICON

Year: 2021 | Conference Paper |

Reinforcement Learning-Based Resource Management Model for Fog Radio Access Network Architectures in 5G

Nosipho N. Khumalo;Olutayo O. Oyerinde;Luzango Mfupe

Year: 2021 | Volume: 9 | Journal Article |

Cited by: Papers (22)

HTML

The need to cope with the continuously growing number of connected users and the increased demand for mobile broadband services in the Internet of Things has led to the notion of introducing the fog computing paradigm in fifth generation (5G) mobile networks in the form of fog radio access network (F-RAN). The F-RAN approach emphasises bringing the computation capability to the edge of the network...Show More

Reinforcement Learning-Based Resource Management Model for Fog Radio Access Network Architectures in 5G

Nosipho N. Khumalo;Olutayo O. Oyerinde;Luzango Mfupe

Year: 2021 | Volume: 9 | Journal Article |

Iterative Hard Thresholding with Memory-based Dynamic Sparse Wireless Channel Estimator

Olutayo Oyeyemi Oyerinde;Adam Flizikowski;Tomasz Marciniak

2020 14th International Conference on Signal Processing and Communication Systems (ICSPCS)

Year: 2020 | Conference Paper |

Cited by: Papers (2)

HTML

This article focuses on estimation of dynamic sparse wireless channels. In order to ensure accurate coherent signal recovery in wireless communication systems, it is paramount for the receiver to have estimates of the channel knowledge. In this paper, channel estimator that is based on iterative hard thresholding (IHT) algorithm is proposed, while utilizing the temporal correlation associated with...Show More

Iterative Hard Thresholding with Memory-based Dynamic Sparse Wireless Channel Estimator

Olutayo Oyeyemi Oyerinde;Adam Flizikowski;Tomasz Marciniak

2020 14th International Conference on Signal Processing and Communication Systems (ICSPCS)

Year: 2020 | Conference Paper |

The detection of isomorphism of networks described by Reference Graphs

Slawomir Bujnowski;Tomasz Marciniak;Olutayo Oyeyemi Oyerinde;Beata Marciniak;Zbigniew Lutowski

2020 14th International Conference on Signal Processing and Communication Systems (ICSPCS)

Year: 2020 | Conference Paper |

Cited by: Papers (1)

HTML

This paper includes the analysis and the results of the study of the possibility to utilize the unevenness coefficients of the use of individual graph edges for the assessment of the isomorphism of ICT networks described with Reference Graphs. These parameters are used to confirm or reject the presence of the isomorphism of the analyzed graphs. In the first part of the paper the terms chord graph,...Show More

The detection of isomorphism of networks described by Reference Graphs

Slawomir Bujnowski;Tomasz Marciniak;Olutayo Oyeyemi Oyerinde;Beata Marciniak;Zbigniew Lutowski

2020 14th International Conference on Signal Processing and Communication Systems (ICSPCS)

Year: 2020 | Conference Paper |

Reinforcement Learning-based Computation Resource Allocation Scheme for 5G Fog-Radio Access Network

Nosipho Khumalo;Olutayo Oyerinde;Luzango Mfupe

2020 Fifth International Conference on Fog and Mobile Edge Computing (FMEC)

Year: 2020 | Conference Paper |

Cited by: Papers (12)

HTML

Fog computing has emerged as one of the key building blocks of fifth generation mobile networks (5G) because of its ability to effectively meet the demands of real-time or latency-sensitive applications. To introduce fog in 5G, particularly in the radio access network (RAN), intermediate network devices such as remote radio heads, small cells and macro cells are equipped with virtualised storage a...Show More

Reinforcement Learning-based Computation Resource Allocation Scheme for 5G Fog-Radio Access Network

Nosipho Khumalo;Olutayo Oyerinde;Luzango Mfupe

2020 Fifth International Conference on Fog and Mobile Edge Computing (FMEC)

Year: 2020 | Conference Paper |

Multiuser Detector based on Fused Amended Orthogonal Matching Pursuit and Subspace Pursuit Algorithms for Uplink Grant-Free NOMA Wireless Communication Systems

Olutayo Oyeyemi Oyerinde

2020 IEEE 91st Vehicular Technology Conference (VTC2020-Spring)

Year: 2020 | Conference Paper |

Cited by: Papers (6)

HTML

This paper focuses on multiuser detection scheme for both user data and user activities in uplink Non Orthogonal Multiple Access (NOMA) networks with grant-free transmission mode. In this paper a new fused compressive sensing algorithms-based multiuser detection (MUD) scheme is proposed. The scheme is based on the union of amended versions of two traditional compressive sensing algorithms, the sub...Show More

Multiuser Detector based on Fused Amended Orthogonal Matching Pursuit and Subspace Pursuit Algorithms for Uplink Grant-Free NOMA Wireless Communication Systems

Olutayo Oyeyemi Oyerinde

2020 IEEE 91st Vehicular Technology Conference (VTC2020-Spring)

Year: 2020 | Conference Paper |

Least Mean Squares Channel Estimation for Downlink Non-Orthogonal Multiple Access

Lehlohonolo Edwin Sekokotoana;Fambirai Takawira;Olutayo Oyeyemi Oyerinde

2019 IEEE AFRICON

Year: 2019 | Conference Paper |

Cited by: Papers (4)

HTML

This paper presents a Least Mean Squares (LMS)-based channel estimation approach for a two-user downlink single-input-single-output non-orthogonal multiple access (SISO-NOMA) system. The proposed techniques consider a pilot aided scenario in which training data is partially known at each user's receiver. Two LMS-based algorithms are adopted in providing an estimate of a flat fading Rayleigh channe...Show More

Least Mean Squares Channel Estimation for Downlink Non-Orthogonal Multiple Access

Lehlohonolo Edwin Sekokotoana;Fambirai Takawira;Olutayo Oyeyemi Oyerinde

2019 IEEE AFRICON

Year: 2019 | Conference Paper |

Uplink OFDM Based NOMA Plagued with Carrier Frequency Offset Errors

Muyiwa B. Balogun;Fambirai Takawira;Olutayo O. Oyerinde

2019 IEEE AFRICON

Year: 2019 | Conference Paper |

Cited by: Papers (5)

HTML

Non-orthogonal multiple access (NOMA) scheme has been recognized as a promising candidate for future generation networks. In order to achieve a superior spectral efficiency, the orthogonal frequency division multiplexing (OFDM) technique can be combined with the NOMA scheme. However, introducing OFDM into the NOMA scheme induces carrier frequency offset (CFO) errors in the system. In this paper, t...Show More

Uplink OFDM Based NOMA Plagued with Carrier Frequency Offset Errors

Muyiwa B. Balogun;Fambirai Takawira;Olutayo O. Oyerinde

2019 IEEE AFRICON

Year: 2019 | Conference Paper |

Iterative Hard Thresholding-based Multiuser Detector for Uplink Grant Free NOMA Systems

Olutayo Oyeyemi Oyerinde

2019 IEEE AFRICON

Year: 2019 | Conference Paper |

Cited by: Papers (4)

HTML

It has been justified that non-orthogonal multiple access (NOMA) scheme is the best multiuser-based transmission scheme for 5G wireless networks. Most importantly is its feature to ensure optimum utilization of scarce wireless resource, the bandwidth. In order to exploit all the advantages associated with the NOMA system, it is essential to provide robust signal processing techniques at the receiv...Show More

Iterative Hard Thresholding-based Multiuser Detector for Uplink Grant Free NOMA Systems

Olutayo Oyeyemi Oyerinde

2019 IEEE AFRICON

Year: 2019 | Conference Paper |

Modified Orthogonal Matching Pursuit (MOMP)-based Multiuser Detector for Uplink Grant Free NOMA Systems

Olutayo Oyeyemi Oyerinde

2019 13th International Conference on Signal Processing and Communication Systems (ICSPCS)

Year: 2019 | Conference Paper |

Cited by: Papers (6)

HTML

A multiuser detection (MUD) scheme, the modified orthogonal matching pursuit (MOMP)-based MUD is proposed for uplink grant free non-orthogonal multiple access (NOMA) systems. In the proposed MUD, the temporary correlation of active user sets between adjacent time slots is exploited in conjunction with the side information (the a-priori knowledge of the active user support set's estimate). The dete...Show More

Modified Orthogonal Matching Pursuit (MOMP)-based Multiuser Detector for Uplink Grant Free NOMA Systems

Olutayo Oyeyemi Oyerinde

2019 13th International Conference on Signal Processing and Communication Systems (ICSPCS)

Year: 2019 | Conference Paper |

Weighted Least Square Based Iterative Channel Estimation for Uplink NOMA-OFDM Systems

Muyiwa B. Balogun;Fambirai Takawira;Olutayo O. Oyerinde

2019 13th International Conference on Signal Processing and Communication Systems (ICSPCS)

Year: 2019 | Conference Paper |

Cited by: Papers (6)

HTML

Non-orthogonal multiple access (NOMA) scheme has been recognized as a promising candidate for future generation networks. In order to achieve a superior spectral efficiency, the orthogonal frequency division multiplexing (OFDM) technique can be combined with the NOMA scheme. The hybrid OFDM based NOMA system, however, needs accurate information of the channel for optimum performance. In this paper...Show More

Weighted Least Square Based Iterative Channel Estimation for Uplink NOMA-OFDM Systems

Muyiwa B. Balogun;Fambirai Takawira;Olutayo O. Oyerinde

2019 13th International Conference on Signal Processing and Communication Systems (ICSPCS)

Year: 2019 | Conference Paper |

Comparative Study of Overloaded and Underloaded NOMA Schemes with Two Multiuser Detectors

Olutayo Oyeyemi Oyerinde

2019 IEEE 2nd Wireless Africa Conference (WAC)

Year: 2019 | Conference Paper |

Cited by: Papers (10)

HTML

Different novel non-orthogonal multiple access (NOMA) schemes have been put forward in order to enable support for massive connectivity of devices and ensure optimum utilization of scarce radio resources. This paper compares three prominent NOMA schemes, multi-user shared access (MUSA), pattern division multiple access (PDMA), and sparse code multiple access (SCMA) schemes, when combined with two ...Show More

Comparative Study of Overloaded and Underloaded NOMA Schemes with Two Multiuser Detectors

Olutayo Oyeyemi Oyerinde

2019 IEEE 2nd Wireless Africa Conference (WAC)

Year: 2019 | Conference Paper |

Fog Computing Architecture for 5G-Compliant IoT Applications in Underserved Communities

Nosipho Khumalo;Olutayo Oyerinde;Luzango Mfupe

2019 IEEE 2nd Wireless Africa Conference (WAC)

Year: 2019 | Conference Paper |

Cited by: Papers (3)

HTML

The fifth generation (5G) of wireless network ecosystem which is expected to be deployed in 2020 promises to provide higher speeds, higher capacity and lower latency than the current mobile networks. 5G is also envisioned to revolutionise the telecoms industry in unprecedented ways by enabling new applications and services that could change the way we live and do things. However, in areas with poo...Show More

Fog Computing Architecture for 5G-Compliant IoT Applications in Underserved Communities

Nosipho Khumalo;Olutayo Oyerinde;Luzango Mfupe

2019 IEEE 2nd Wireless Africa Conference (WAC)

Year: 2019 | Conference Paper |

Improved Iterative Convergence Rate for Soft-Decision Bit-Level Reed-Solomon Decoders using Information Set Decoding

Yuval Genga;Olutayo Oyerinde;Jaco Versfeld

2019 IEEE 2nd Wireless Africa Conference (WAC)

Year: 2019 | Conference Paper |

HTML

Iterative bit-level decoders for Reed-Solomon codes, such as the ABP and the PTA, have been shown in literature to yield a good error correction performance. However, this is often at the cost of a high computational complexity. This complexity can be attributed to the number of iterations required during the decoding process. This paper focuses on improving the iterative convergence rate of the b...Show More

Improved Iterative Convergence Rate for Soft-Decision Bit-Level Reed-Solomon Decoders using Information Set Decoding

Yuval Genga;Olutayo Oyerinde;Jaco Versfeld

2019 IEEE 2nd Wireless Africa Conference (WAC)

Year: 2019 | Conference Paper |

Reweighted l1-VFF Modified RLS-based Channel Estimator for OFDM-IDMA Systems

Olutayo Oyeyemi Oyerinde

2019 IEEE 89th Vehicular Technology Conference (VTC2019-Spring)

Year: 2019 | Conference Paper |

HTML

In recent years, efforts have been directed towards estimation of channel state information (CSI) for Orthogonal Frequency Division Multiplexing (OFDM)based systems. However, despite the fact that the OFDM channel is generally sparse in nature, most of the research efforts did not take advantage of the sparse nature of OFDM channel in the development of the channel estimation techniques for the sy...Show More

Reweighted l1-VFF Modified RLS-based Channel Estimator for OFDM-IDMA Systems

Olutayo Oyeyemi Oyerinde

2019 IEEE 89th Vehicular Technology Conference (VTC2019-Spring)

Year: 2019 | Conference Paper |

Compressive Sensing Algorithms for Multiuser Detection in Uplink Grant Free NOMA Systems

Olutayo Oyeyemi Oyerinde

2019 IEEE 89th Vehicular Technology Conference (VTC2019-Spring)

Year: 2019 | Conference Paper |

Cited by: Papers (14)

HTML

Non-orthogonal multiple access (NOMA) scheme has been found to exhibit the ability of supporting massive connectivity of multiple users by employing the same, non-orthogonal, spectrum resources. Grant-free transmission mode in NOMA system allows users to randomly initiate transmission at any time slot, and this mode of transmission is highly desirable for the uplink NOMA system. This paper focuses...Show More

Compressive Sensing Algorithms for Multiuser Detection in Uplink Grant Free NOMA Systems

Olutayo Oyeyemi Oyerinde

2019 IEEE 89th Vehicular Technology Conference (VTC2019-Spring)

Year: 2019 | Conference Paper |

IEEE Personal Account

Change username/password

Purchase Details

Payment Options
View Purchased Documents

Profile Information

Communications Preferences
Profession and Education
Technical interests

Need Help?

US & Canada: +1 800 678 4333
Worldwide: +1 732 981 0060
Contact & Support

Follow

About IEEE Xplore | Contact Us | Help | Accessibility | Terms of Use | Nondiscrimination Policy | IEEE Ethics Reporting | Sitemap | IEEE Privacy Policy

A public charity, IEEE is the world's largest technical professional organization dedicated to advancing technology for the benefit of humanity.

© Copyright 2025 IEEE - All rights reserved, including rights for text and data mining and training of artificial intelligence and similar technologies.

IEEE Account

Change Username/Password
Update Address

Purchase Details

Payment Options
Order History
View Purchased Documents

Profile Information

Communications Preferences
Profession and Education
Technical Interests

Need Help?

US & Canada: +1 800 678 4333
Worldwide: +1 732 981 0060
Contact & Support

About IEEE Xplore
Contact Us
Help
Accessibility
Terms of Use
Nondiscrimination Policy
Sitemap
Privacy & Opting Out of Cookies

A not-for-profit organization, IEEE is the world's largest technical professional organization dedicated to advancing technology for the benefit of humanity.
© Copyright 2025 IEEE - All rights reserved. Use of this web site signifies your agreement to the terms and conditions.