Loading [MathJax]/extensions/MathZoom.js

Arman Shojaeifard - 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

Arman Shojaeifard

Also published under: A. Shojaeifard

Publications

72

Citations

1,167

Publications by Year

20112025

Co-Authors:

A. Hamid AghvamiAbdelrahim AhmadEmad AlsusaAyda BabaeiErtugrul Basar

Show All Co-Authors (91)

Arman Shojaeifard

Also published under: A. Shojaeifard

Affiliation

InterDigital, London, U.K.

Publication Topics

Reconfigurable Intelligent Surface,
Phase Shift,
Reconfigurable Intelligent Surface Elements,
User Equipment,
Channel Estimation,
Simulation Results,
Theoretical Analysis,
Hardware Impairments,
Mean Square Error,
Normalized Mean Square Error,
Passive Beamforming,
Rician Factor

Biography

Arman Shojaeifard (Senior Member, IEEE) received the B.Eng. degree in information systems engineering from the Imperial College London, in 2008, and the M.Sc. degree (Hons.) in signal processing and the Ph.D. degree in wireless communications from the King’s College London, in 2009 and 2012, respectively. He has extensive experience in project management, research, development, standardization of radio transmission technologies, protocols, and architectures. He is currently a R&I Senior Manager at InterDigital, where he is responsible for Radio Interface Research and Development at the Future Wireless Europe Laboratory. He also serves as the Chair of the ETSI Industry Specification Group on Reconfigurable Intelligent Surfaces (ISG RIS) and ...

Publications

72

Citations

1,167

Publications by Year

20112025

Co-Authors:

A. Hamid Aghvami
Abdelrahim Ahmad
Emad Alsusa
Ayda Babaei
Ertugrul Basar

Show All Co-Authors (91)

Author's Published Works

Search History

Showing 1-25 of 72 results

Journals (36)

Conferences (34)

Early Access Articles (1)

Magazines (1)

Sort

Filter Results

Show

Open Access Only

Range
Single Year
Arman Shojaeifard(64)
Jie Tang(32)
Kai-Kit Wong(28)
Daniel K. C. So(24)
Khairi Ashour Hamdi(20)
Department of Electronic and Electrical Engineering, University College London, London, U.K.(11)
School of Electronic and Information Engineering, South China University of Technology, Guangzhou, China(11)
InterDigital, London, U.K.(9)
Electronics and Computer Science, University of Southampton, Southampton, U.K.(6)
School of Electrical and Electronic Engineering, The University of Manchester, Manchester, U.K.(6)
IEEE Transactions on Vehicular Technology(10)
IEEE Transactions on Communications(8)
IEEE Transactions on Wireless Communications(5)
IEEE Access(4)
2015 IEEE International Conference on Communications (ICC)(3)
IEEE(72)
London, UK(5)
Sydney, NSW, Australia(4)
Honolulu, HI, USA(2)
Kuala Lumpur, Malaysia(2)
London, United Kingdom(2)
Base Station(36)
Signal-to-interference-plus-noise Ratio(33)
User Equipment(30)
Cellular Networks(25)
Additive Noise(23)

Select All on Page

Sort By

Results

The Emergence of Multi-Functional and Hybrid Reconfigurable Intelligent Surfaces for Integrated Sensing and Communications -A Survey

Anton Tishchenko;Mohsen Khalily;Arman Shojaeifard;Fraser Burton;Emil Björnson;Marco Di Renzo;Rahim Tafazolli

IEEE Communications Surveys & Tutorials

Year: 2025 | Early Access Article |

Reconfigurable intelligent surfaces (RIS) are positioned as one of the key enabling technologies for 6G networks as they can provide ubiquitous coverage for areas with blocked line-of-sight (LOS) links. However, to be successfully integrated into functional networks such structures will require the addition of sensors and other radio network elements, thereby resulting in a multi-functional RIS (M...Show More

The Emergence of Multi-Functional and Hybrid Reconfigurable Intelligent Surfaces for Integrated Sensing and Communications -A Survey

Anton Tishchenko;Mohsen Khalily;Arman Shojaeifard;Fraser Burton;Emil Björnson;Marco Di Renzo;Rahim Tafazolli

IEEE Communications Surveys & Tutorials

Year: 2025 | Early Access Article |

Energy-Efficient Reconfigurable Holographic Surfaces Operating in the Presence of Realistic Hardware Impairments

Qingchao Li;Mohammed El-Hajjar;Yanshi Sun;Ibrahim Hemadeh;Arman Shojaeifard;Lajos Hanzo

IEEE Transactions on Communications

Year: 2024 | Volume: 72, Issue: 8 | Journal Article |

HTML

Reconfigurable holographic surfaces (RHSs) constitute a promising technique of supporting energy-efficient communications. In this paper, we formulate the energy efficiency maximization problem of the switch-controlled RHS-aided beamforming architecture by alternately optimizing the holographic beamformer at the RHS, the digital beamformer, the total transmit power and the power sharing ratio of e...Show More

Energy-Efficient Reconfigurable Holographic Surfaces Operating in the Presence of Realistic Hardware Impairments

Qingchao Li;Mohammed El-Hajjar;Yanshi Sun;Ibrahim Hemadeh;Arman Shojaeifard;Lajos Hanzo

IEEE Transactions on Communications

Year: 2024 | Volume: 72, Issue: 8 | Journal Article |

Coordinated Reconfigurable Intelligent Surfaces: Non-Diagonal Group-Connected Design

Qingchao Li;Mohammed El-Hajjar;Ibrahim Hemadeh;Arman Shojaeifard;Lajos Hanzo

IEEE Transactions on Vehicular Technology

Year: 2024 | Volume: 73, Issue: 7 | Journal Article |

Cited by: Papers (3)

HTML

Reconfigurable intelligent surfaces (RIS) constitute a promising technology for future wireless communications in terms of improving the spectral-efficiency and energy-efficiency. In this context, a novel RIS structure, which we refer to as coordinated RIS architecture, is formulated, where different RIS elements can be connected by configurable impedances to eliminate the channel fading. In the p...Show More

Coordinated Reconfigurable Intelligent Surfaces: Non-Diagonal Group-Connected Design

Qingchao Li;Mohammed El-Hajjar;Ibrahim Hemadeh;Arman Shojaeifard;Lajos Hanzo

IEEE Transactions on Vehicular Technology

Year: 2024 | Volume: 73, Issue: 7 | Journal Article |

Shaping a Smarter Electromagnetic Landscape: IAB, NCR, and RIS in 5G Standard and Future 6G

Chao-Kai Wen;Lung-Sheng Tsai;Arman Shojaeifard;Pei-Kai Liao;Kai-Kit Wong;Chan-Byoung Chae

IEEE Communications Standards Magazine

Year: 2024 | Volume: 8, Issue: 1 | Magazine Article |

Cited by: Papers (7)

HTML

The main objective of 5G and beyond networks is to provide an optimal user experience in terms of throughput and reliability, irrespective of location and time. To achieve this, traditional fixed macro base station deployments are being replaced by more innovative and flexible solutions, such as wireless backhaul and relays. This article focuses on the evolution and standardization of these advanc...Show More

Shaping a Smarter Electromagnetic Landscape: IAB, NCR, and RIS in 5G Standard and Future 6G

Chao-Kai Wen;Lung-Sheng Tsai;Arman Shojaeifard;Pei-Kai Liao;Kai-Kit Wong;Chan-Byoung Chae

IEEE Communications Standards Magazine

Year: 2024 | Volume: 8, Issue: 1 | Magazine Article |

Achievable Rate Analysis of Intelligent Omni-Surface Assisted NOMA Holographic MIMO Systems

Qingchao Li;Mohammed El-Hajjar;Yanshi Sun;Ibrahim Hemadeh;Yingming Tsai;Arman Shojaeifard;Lajos Hanzo

IEEE Transactions on Vehicular Technology

Year: 2024 | Volume: 73, Issue: 5 | Journal Article |

Cited by: Papers (2)

HTML

An intelligent omni-surface (IOS) assisted holographic multiple-input and multiple-output architecture is conceived for $360^\circ$ full-space coverage at a low energy consumption. The theoretical ergodic rate lower bound of our non-orthogonal multiple access (NOMA) scheme is derived based on the moment matching approximation method, while considering the signal distortion at transceivers imposed ...Show More

Achievable Rate Analysis of Intelligent Omni-Surface Assisted NOMA Holographic MIMO Systems

Qingchao Li;Mohammed El-Hajjar;Yanshi Sun;Ibrahim Hemadeh;Yingming Tsai;Arman Shojaeifard;Lajos Hanzo

IEEE Transactions on Vehicular Technology

Year: 2024 | Volume: 73, Issue: 5 | Journal Article |

Low-Overhead Channel Estimation for RIS-Aided Multi-Cell Networks in the Presence of Phase Quantization Errors

Qingchao Li;Mohammed El-Hajjar;Ibrahim Hemadeh;Arman Shojaeifard;Lajos Hanzo

IEEE Transactions on Vehicular Technology

Year: 2024 | Volume: 73, Issue: 5 | Journal Article |

Cited by: Papers (6)

HTML

Deploying reconfigurable intelligent surfaces (RIS) is promising for enhancing the transmission reliability of wireless communications by controlling the wireless environment, in which the active beamforming at the base station and the passive beamforming at the RIS are jointly designed based on the acquisition of channel state information. Hence, channel estimation is crucial for RIS-aided system...Show More

Low-Overhead Channel Estimation for RIS-Aided Multi-Cell Networks in the Presence of Phase Quantization Errors

Qingchao Li;Mohammed El-Hajjar;Ibrahim Hemadeh;Arman Shojaeifard;Lajos Hanzo

IEEE Transactions on Vehicular Technology

Year: 2024 | Volume: 73, Issue: 5 | Journal Article |

Statistical CSI-Based Beamforming for RIS-Aided Multiuser MISO Systems via Deep Reinforcement Learning

Mahdi Eskandari;Huiling Zhu;Arman Shojaeifard;Jiangzhou Wang

IEEE Wireless Communications Letters

Year: 2024 | Volume: 13, Issue: 2 | Journal Article |

Cited by: Papers (1)

HTML

This letter presents a novel joint beamforming algorithm for reconfigurable intelligent surfaces (RIS) in multiuser multiple-input single-output (MISO) wireless communications. At first, by utilizing statistical channel state information (CSI) instead of instantaneous CSI, we significantly reduce channel estimation overhead. Then, the optimization of beamforming weights is accomplished using the p...Show More

Statistical CSI-Based Beamforming for RIS-Aided Multiuser MISO Systems via Deep Reinforcement Learning

Mahdi Eskandari;Huiling Zhu;Arman Shojaeifard;Jiangzhou Wang

IEEE Wireless Communications Letters

Year: 2024 | Volume: 13, Issue: 2 | Journal Article |

Kalman Filter Based Channel Tracking for RIS-Assisted Multi-User Networks

Danyang Yu;Gan Zheng;Arman Shojaeifard;Sangarapillai Lambotharan;Yi Liu

IEEE Transactions on Wireless Communications

Year: 2024 | Volume: 23, Issue: 4 | Journal Article |

Cited by: Papers (3)

HTML

In this paper, we investigate channel estimation in a reconfigurable intelligent surface (RIS) assisted multi-user network while taking the mobility of users into consideration. Based on a time-varying channel model, we utilize Kalman filter (KF) that is able to exploit temporal correlation to track cascaded channel. In order to maintain a relatively low pilot overhead, we present a multiple sub-p...Show More

Kalman Filter Based Channel Tracking for RIS-Assisted Multi-User Networks

Danyang Yu;Gan Zheng;Arman Shojaeifard;Sangarapillai Lambotharan;Yi Liu

IEEE Transactions on Wireless Communications

Year: 2024 | Volume: 23, Issue: 4 | Journal Article |

6G-BRICKS: Building Reusable Testbed Infrastructures for Cloud-to-Device Breakthrough Technologies

Kostas Ramantas;Anastasios N. Bikos;Walter Nitzold;Sofie Pollin;Adlen Ksentini;Sylvie Mayrargue;Vasileios Theodorou;Loizos Christofi;Georgios Gardikis;Md Arifur Rahman;Ashima Chawla;Francisco Ibañez;Ioannis Chochliouros;Didier Nicholson;Mario;Montagudand;Arman Shojaeifard;Alexios Pagkotzidis;Christos Verikoukis

2023 IEEE Globecom Workshops (GC Wkshps)

Year: 2023 | Conference Paper |

Cited by: Papers (1)

HTML

Sixth generation (6G)-enabled massive network MANO orchestration, alongside distributed supervision and fully reconfigurable control logic that manages dynamic arrangement of network components, such as cell-free, Open-Air Interface (OAI) and RIS, is a potent enabler for the upcoming pervasive digitalization of the vertical use cases. In such a disruptive domain, artificial intelligence (AI)-drive...Show More

6G-BRICKS: Building Reusable Testbed Infrastructures for Cloud-to-Device Breakthrough Technologies

Kostas Ramantas;Anastasios N. Bikos;Walter Nitzold;Sofie Pollin;Adlen Ksentini;Sylvie Mayrargue;Vasileios Theodorou;Loizos Christofi;Georgios Gardikis;Md Arifur Rahman;Ashima Chawla;Francisco Ibañez;Ioannis Chochliouros;Didier Nicholson;Mario;Montagudand;Arman Shojaeifard;Alexios Pagkotzidis;Christos Verikoukis

2023 IEEE Globecom Workshops (GC Wkshps)

Year: 2023 | Conference Paper |

Achievable Rate Analysis of the STAR-RIS-Aided NOMA Uplink in the Face of Imperfect CSI and Hardware Impairments

Qingchao Li;Mohammed El-Hajjar;Yanshi Sun;Ibrahim Hemadeh;Arman Shojaeifard;Yuanwei Liu;Lajos Hanzo

IEEE Transactions on Communications

Year: 2023 | Volume: 71, Issue: 10 | Journal Article |

Cited by: Papers (26)

HTML

Reconfigurable intelligent surfaces (RIS) are capable of beneficially ameliorating the propagation environment by appropriately controlling the passive reflecting elements. To extend the coverage area, the concept of simultaneous transmitting and reflecting reconfigurable intelligent surfaces (STAR-RIS) has been proposed, yielding supporting 360° coverage user equipment (UE) located on both sides ...Show More

Achievable Rate Analysis of the STAR-RIS-Aided NOMA Uplink in the Face of Imperfect CSI and Hardware Impairments

Qingchao Li;Mohammed El-Hajjar;Yanshi Sun;Ibrahim Hemadeh;Arman Shojaeifard;Yuanwei Liu;Lajos Hanzo

IEEE Transactions on Communications

Year: 2023 | Volume: 71, Issue: 10 | Journal Article |

Reconfigurable Intelligent Surface Aided Amplitude- and Phase-Modulated Downlink Transmission

Qingchao Li;Mohammed El-Hajjar;Ibrahim Hemadeh;Arman Shojaeifard;Alain A. M. Mourad;Lajos Hanzo

IEEE Transactions on Vehicular Technology

Year: 2023 | Volume: 72, Issue: 6 | Journal Article |

Cited by: Papers (12)

HTML

New reconfigurable intelligent surface (RIS) based amplitude and phase modulation schemes are proposed as an evolution how the phase-only modulation schemes available in the literature. Explicitly, both the amplitude-phase shift keying (A-PSK) and quadrature amplitude-phase shift keying (QA-PSK) are conceived, where the RIS is assumed to be part of a transmitter to deliver information to the multi...Show More

Reconfigurable Intelligent Surface Aided Amplitude- and Phase-Modulated Downlink Transmission

Qingchao Li;Mohammed El-Hajjar;Ibrahim Hemadeh;Arman Shojaeifard;Alain A. M. Mourad;Lajos Hanzo

IEEE Transactions on Vehicular Technology

Year: 2023 | Volume: 72, Issue: 6 | Journal Article |

Performance Analysis of Active RIS-Aided Systems in the Face of Imperfect CSI and Phase Shift Noise

Qingchao Li;Mohammed El-Hajjar;Ibrahim Hemadeh;Deepa Jagyasi;Arman Shojaeifard;Lajos Hanzo

IEEE Transactions on Vehicular Technology

Year: 2023 | Volume: 72, Issue: 6 | Journal Article |

Cited by: Papers (22)

HTML

The linear minimal mean square error estimator for active reconfigurable intelligent surface (RIS)-aided wireless systems is formulated. Furthermore, based on the moment-matching method, we employ the Gamma distribution to approximate the distribution of the instantaneous received signal-to-interference-plus-noise ratio, and then derive the closed-form outage probability and ergodic channel capaci...Show More

Performance Analysis of Active RIS-Aided Systems in the Face of Imperfect CSI and Phase Shift Noise

Qingchao Li;Mohammed El-Hajjar;Ibrahim Hemadeh;Deepa Jagyasi;Arman Shojaeifard;Lajos Hanzo

IEEE Transactions on Vehicular Technology

Year: 2023 | Volume: 72, Issue: 6 | Journal Article |

The Reconfigurable Intelligent Surface-Aided Multi-Node IoT Downlink: Beamforming Design and Performance Analysis

Qingchao Li;Mohammed El-Hajjar;Ibrahim Hemadeh;Deepa Jagyasi;Arman Shojaeifard;Ertugrul Basar;Lajos Hanzo

IEEE Internet of Things Journal

Year: 2023 | Volume: 10, Issue: 7 | Journal Article |

Cited by: Papers (14)

HTML

Reconfigurable intelligent surfaces (RISs) are capable of enhancing the wireless propagation environment of the future Internet of Things (IoT). Recently, they have also been configured as a transmitter to realize information modulation at low hardware complexity. In this article, we conceive a transmitter relying on a single radio frequency (RF) chain for low-complexity RIS-aided multiuser downli...Show More

The Reconfigurable Intelligent Surface-Aided Multi-Node IoT Downlink: Beamforming Design and Performance Analysis

Qingchao Li;Mohammed El-Hajjar;Ibrahim Hemadeh;Deepa Jagyasi;Arman Shojaeifard;Ertugrul Basar;Lajos Hanzo

IEEE Internet of Things Journal

Year: 2023 | Volume: 10, Issue: 7 | Journal Article |

SNR-based Configuration for RIS-Integrated NR

Visa Tapio;Deepa Jagyasi;Arman Shojaeifard;Pekka Pirinen;Markku Juntti

2022 IEEE 96th Vehicular Technology Conference (VTC2022-Fall)

Year: 2022 | Conference Paper |

HTML

Configuration of a reconfigurable intelligent surface (RIS) as a solution to an optimization problem for spectral or energy efficiency requires the estimation of the channels between the transmitter and the RIS and between the RIS and the receiver. The channel estimation and the RIS configuration by optimization are computationally intensive processes in RIS assisted wireless links. The approach p...Show More

SNR-based Configuration for RIS-Integrated NR

Visa Tapio;Deepa Jagyasi;Arman Shojaeifard;Pekka Pirinen;Markku Juntti

2022 IEEE 96th Vehicular Technology Conference (VTC2022-Fall)

Year: 2022 | Conference Paper |

Unsupervised Learning-Aided Discrete RIS Configuration Estimator

Deepa Jagyasi;Arman Shojaeifard;Ibrahim Hemadeh;Patrick Svedman

2022 IEEE 96th Vehicular Technology Conference (VTC2022-Fall)

Year: 2022 | Conference Paper |

HTML

Reconfigurable Intelligent Surface (RIS) consists of mostly-passive elements capable of electronically steering the impinging signal with configured phase shifts. However, achieving infinite phase resolution is infeasible and the phases needs to be quantized for practical implementation. In this paper, we propose an unsupervised learning-based method to estimate the optimal discrete RIS phase conf...Show More

Unsupervised Learning-Aided Discrete RIS Configuration Estimator

Deepa Jagyasi;Arman Shojaeifard;Ibrahim Hemadeh;Patrick Svedman

2022 IEEE 96th Vehicular Technology Conference (VTC2022-Fall)

Year: 2022 | Conference Paper |

Mitigation of Phase Noise-induced ICI at THz bands using CP-OFDM PT-RS signals

Javier Lorca Hernando;Ahmet Serdar Tan;Arman Shojaeifard

2022 IEEE Globecom Workshops (GC Wkshps)

Year: 2022 | Conference Paper |

Cited by: Papers (5)

HTML

Among the new technologies under research for Beyond-5G and 6G wireless communications, THz and sub-THz frequencies are receiving considerable attention thanks to their huge potentially available bandwidth. Phase noise is one of the most critical impairments in these bands because of its much higher impact on demodulation performance compared to millimeter-wave frequencies. This work presents a no...Show More

Mitigation of Phase Noise-induced ICI at THz bands using CP-OFDM PT-RS signals

Javier Lorca Hernando;Ahmet Serdar Tan;Arman Shojaeifard

2022 IEEE Globecom Workshops (GC Wkshps)

Year: 2022 | Conference Paper |

Coverage Enhancements using RIS-Integrated NR

Visa Tapio;Arman Shojaeifard;Deepa Jagyasi;Pekka Pirinen;Markku Juntti

GLOBECOM 2022 - 2022 IEEE Global Communications Conference

Year: 2022 | Conference Paper |

Cited by: Papers (1)

HTML

A reconfigurable intelligent surface (RIS) can be used to control the propagation of electromagnetic waves (EM). By deploying the RIS units in radio environment allows to steer the transmitted EM waves to areas that are otherwise shadowed by buildings or other geographic formations resulting in coverage enhancement. The gain offered by the RIS is due to its ability to focus the impinging signal to...Show More

Coverage Enhancements using RIS-Integrated NR

Visa Tapio;Arman Shojaeifard;Deepa Jagyasi;Pekka Pirinen;Markku Juntti

GLOBECOM 2022 - 2022 IEEE Global Communications Conference

Year: 2022 | Conference Paper |

RLOps: Development Life-Cycle of Reinforcement Learning Aided Open RAN

Peizheng Li;Jonathan Thomas;Xiaoyang Wang;Ahmed Khalil;Abdelrahim Ahmad;Rui Inacio;Shipra Kapoor;Arjun Parekh;Angela Doufexi;Arman Shojaeifard;Robert J. Piechocki

Year: 2022 | Volume: 10 | Journal Article |

Cited by: Papers (22)

HTML

Radio access network (RAN) technologies continue to evolve, with Open RAN gaining the most recent momentum. In the O-RAN specifications, the RAN intelligent controllers (RICs) are software-defined orchestration and automation functions for the intelligent management of RAN. This article introduces principles for machine learning (ML), in particular, reinforcement learning (RL) applications in the ...Show More

RLOps: Development Life-Cycle of Reinforcement Learning Aided Open RAN

Peizheng Li;Jonathan Thomas;Xiaoyang Wang;Ahmed Khalil;Abdelrahim Ahmad;Rui Inacio;Shipra Kapoor;Arjun Parekh;Angela Doufexi;Arman Shojaeifard;Robert J. Piechocki

Year: 2022 | Volume: 10 | Journal Article |

MIMO Evolution Beyond 5G Through Reconfigurable Intelligent Surfaces and Fluid Antenna Systems

Arman Shojaeifard;Kai-Kit Wong;Kin-Fai Tong;Zhiyuan Chu;Alain Mourad;Afshin Haghighat;Ibrahim Hemadeh;Nhan Thanh Nguyen;Visa Tapio;Markku Juntti

Proceedings of the IEEE

Year: 2022 | Volume: 110, Issue: 9 | Journal Article |

Cited by: Papers (56)

HTML

With massive deployment, multiple-input–multiple-output (MIMO) systems continue to take mobile communications to new heights, but the ever-increasing demands mean that there is a need to look beyond MIMO and pursue the next disruptive wireless technologies. Reconfigurable intelligent surface (RIS) is widely considered a key candidate technology block to provide the next generational leap. The firs...Show More

MIMO Evolution Beyond 5G Through Reconfigurable Intelligent Surfaces and Fluid Antenna Systems

Arman Shojaeifard;Kai-Kit Wong;Kin-Fai Tong;Zhiyuan Chu;Alain Mourad;Afshin Haghighat;Ibrahim Hemadeh;Nhan Thanh Nguyen;Visa Tapio;Markku Juntti

Proceedings of the IEEE

Year: 2022 | Volume: 110, Issue: 9 | Journal Article |

Reconfigurable Intelligent Surfaces Relying on Non-Diagonal Phase Shift Matrices

Qingchao Li;Mohammed El-Hajjar;Ibrahim Hemadeh;Arman Shojaeifard;Alain A. M. Mourad;Bruno Clerckx;Lajos Hanzo

IEEE Transactions on Vehicular Technology

Year: 2022 | Volume: 71, Issue: 6 | Journal Article |

Cited by: Papers (53)

HTML

Reconfigurable intelligent surfaces (RIS) have been actively researched as a potential technique for future wireless communications, which intelligently ameliorate the signal propagation environment. In the conventional design, each RIS element configures and reflects its received signal independently of all other RIS elements, which results in a diagonal phase shift matrix. By contrast, we propos...Show More

Reconfigurable Intelligent Surfaces Relying on Non-Diagonal Phase Shift Matrices

Qingchao Li;Mohammed El-Hajjar;Ibrahim Hemadeh;Arman Shojaeifard;Alain A. M. Mourad;Bruno Clerckx;Lajos Hanzo

IEEE Transactions on Vehicular Technology

Year: 2022 | Volume: 71, Issue: 6 | Journal Article |

Reconfigurable Intelligent Surface for 5G NR Uplink Coverage Enhancement

Visa Tapio;Arman Shojaeifard;Ibrahim Hemadeh;Alain Mourad;Markku Juntti

2021 IEEE 94th Vehicular Technology Conference (VTC2021-Fall)

Year: 2021 | Conference Paper |

Cited by: Papers (5)

HTML

Reconfigurable intelligent surfaces (RIS) have the ability to steer the electromagnetic (EM) waves to a desired direction. This enables the improvement of the wireless link performance by allowing the illumination of receivers otherwise shadowed by buildings or hills. In this paper, a standards-compliant link-level simulator is developed to study the performance improvement offered by a RIS in 5G ...Show More

Reconfigurable Intelligent Surface for 5G NR Uplink Coverage Enhancement

Visa Tapio;Arman Shojaeifard;Ibrahim Hemadeh;Alain Mourad;Markku Juntti

2021 IEEE 94th Vehicular Technology Conference (VTC2021-Fall)

Year: 2021 | Conference Paper |

Drone Mobile Networks: Performance Analysis Under 3D Tractable Mobility Models

Jiayi Huang;Jie Tang;Arman Shojaeifard;Zhen Chen;Juncheng Hu;Daniel Ka Chun So;Kai-Kit Wong

Year: 2021 | Volume: 9 | Journal Article |

Cited by: Papers (4)

HTML

Reliable wireless communication networks are a significant but challenging mission for post-disaster areas and hotspots in the era of information. However, with the maturity of unmanned aerial vehicle (UAV) technology, drone mobile networks have attracted considerable attention as a prominent solution for facilitating critical communications. This paper provides a system-level analysis for drone m...Show More

Drone Mobile Networks: Performance Analysis Under 3D Tractable Mobility Models

Jiayi Huang;Jie Tang;Arman Shojaeifard;Zhen Chen;Juncheng Hu;Daniel Ka Chun So;Kai-Kit Wong

Year: 2021 | Volume: 9 | Journal Article |

Fluid Antenna Systems

Kai-Kit Wong;Arman Shojaeifard;Kin-Fai Tong;Yangyang Zhang

IEEE Transactions on Wireless Communications

Year: 2021 | Volume: 20, Issue: 3 | Journal Article |

Cited by: Papers (157)

HTML

Over the past decades, multiple antenna technologies have appeared in many different forms, most notably as multiple-input multiple-output (MIMO), that have transformed wireless communications for extraordinary diversity and multiplexing gains. The various MIMO technologies have been based on placing a number of antennas at some fixed locations which dictate the fundamental limit on the achievable...Show More

Fluid Antenna Systems

Kai-Kit Wong;Arman Shojaeifard;Kin-Fai Tong;Yangyang Zhang

IEEE Transactions on Wireless Communications

Year: 2021 | Volume: 20, Issue: 3 | Journal Article |

Recurrent Neural Network Channel Estimation Using Measured Massive MIMO Data

Termeh Faghani;Arman Shojaeifard;Kai-Kit Wong;A. Hamid Aghvami

2020 IEEE 31st Annual International Symposium on Personal, Indoor and Mobile Radio Communications

Year: 2020 | Conference Paper |

Cited by: Papers (2)

HTML

In this work, we develop a novel channel estimation method using recurrent neural networks (RNNs) for massive multiple-input multiple-output (MIMO) systems. The proposed framework alleviates the need for channel-state-information (CSI) feedback and pilot assignment through exploiting the inherent time and frequency correlations in practical propagation environments. We carry out the analysis using...Show More

Recurrent Neural Network Channel Estimation Using Measured Massive MIMO Data

Termeh Faghani;Arman Shojaeifard;Kai-Kit Wong;A. Hamid Aghvami

2020 IEEE 31st Annual International Symposium on Personal, Indoor and Mobile Radio Communications

Year: 2020 | Conference Paper |

RAN coverage areas under 3GPP-compliant pathloss models

Keith Briggs;Arman Shojaeifard

2020 IEEE 31st Annual International Symposium on Personal, Indoor and Mobile Radio Communications

Year: 2020 | Conference Paper |

HTML

An integral component of radio access network (RAN) planning is in determining the coverage regions of base stations. Voronoi diagrams have long been used in this context but classical approaches are only applicable to unrealistic single-slope pathloss model. We provide a new algorithm which computes arbitrarily accurate boundaries of coverage regions under a very general pathloss model, which req...Show More

RAN coverage areas under 3GPP-compliant pathloss models

Keith Briggs;Arman Shojaeifard

2020 IEEE 31st Annual International Symposium on Personal, Indoor and Mobile Radio Communications

Year: 2020 | 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.