Derek Kwaku Pobi Asiedu

• Ph.D. Electronic Engineering (Wireless Communication and Signal Processing)
• Research and Development Engineer at IMT Atlantique

Precision agriculture (PA) and plant disease detection (PDD) are essential for farm crops’ life quality and crop yield. Unfortunately, current PDD algorithms are trained and deployed with perfect plant images. This is impractical since PA sensor networks (PANs) transfer imperfect data due to wireless communication imperfections, such as channel est...

In this paper, we study a multi-hop amplify-and-forward (AF) simultaneous wireless information and power transmission (SWIPT) relay system. Each relay node harvests power using a power split (PS) method from a portion of the received signal, amplifies the remaining received signal, and passes it to the next relay. Based on this system model and sig...

In this letter, we develop a two-stage framework, based on both analytical modeling and machine learning (ML), for the analysis and optimization of a communication setup where the primary receivers (PRs) of a massive multiple-input multiple-output (mMIMO) multi-user non-orthogonal multiple access (NOMA) enabled primary network (PN) coexist symbioti...

Backscatter communication has evolved over the years, but the research interest has predominantly focused on single carrier radio frequency source. In this paper, we seek to utilize the accessibility of multiple carrier sources to boost backscatter communication reliability. Under the framework of utilizing temporal combining, we show the bit error...

To enhance the throughput performance and reliability of Wi-Fi backscatter communication, we develop a nonsequential link adaptation scheme using repetition codes and voting to obtain the final decoded bit from repeated bits. To address the estimation of channel conditions from limited transmission results, we convert the packet success rate of one...

Maize, a crucial global food crop, faces various diseases affecting agricultural yield and quality, which must be monitored. This study employs advanced Convolutional Neural Network (CNN) architecture for efficient maize leaf disease detection and classification. The proposed CNN maize disease detection (MDD) development involves optimization, data...

Foveated rendering (FR)—in which the central foveal layer (the area around the eye gaze) of a virtual reality (VR) image is rendered at the highest resolution and the peripheral layers are rendered at progressively lower resolutions—is an advanced VR technique that controls the balance between computational load and visual quality by adjusting the...

Computation offloading in edge-assisted virtual reality (VR) relies on image reprojection to mitigate motion sickness caused by long latency, but this introduces black borders due to missing pixels, which can degrade the user experience. Overfill rendering, which renders an expanded viewport beyond its native size, offers a solution to the black bo...

This paper studies a multihop amplify-and-forward (AF) simultaneous wireless information and power transfer (SWIPT) relaying system. Each relaying node harvests energy using power splitting (PS) scheme from a part of its received signal to amplify and forward the rest the received signal to the next relay. Based on this system model and signal flow...

This paper analyzes the spectral/energy efficiency (SE/EE) of a full-duplex (FD) cell-free (CF) massive multiple-input multiple-output (mMIMO) over Rician fading channels. Due to the FD radios, the access points (APs) suffer from self-interference (SI) and inter-AP interference (IAI) while the downlink (DL) users’ signals are corrupted by the uplin...

The successful use of deep learning (DL) algorithms in a variety of applications is conceptually based on convolutions. Though convolution is a simple operation, it suffers from severe performance degradation when implemented in software. Recently, with the advancement of CMOS technology, the convolution operation in DL algorithms has been accelera...

This paper considers a full-duplex (FD) multi-user massive multiple-input multiple-output system where the base station (BS) and user equipment (UE) bi-directionally transmit and receive multiple independent data streams over the same frequency band. The BS and UEs are equipped with a large-scale antenna array. Accounting for imperfect channel stat...

Offloading virtual reality (VR) computations to a cloud computing entity can enable support for VR services on low-end user devices but may result in increased latency, which will lead to mismatch between the user’s viewport and the received VR image, thus inducing motion sickness. Predicting future motion and rendering future images accordingly is...

This work investigates radio resource allocation for simultaneous wireless information and power transfer between a full-duplex (FD) multiantenna access point (AP) and multiple half-duplex (HD) single-antenna energy harvesting (EH) user equipment devices (UEs). The EH model of an advanced multistage rectifier circuit design is derived and used for...

In this paper, we develop an optimization framework for the symbiotic operation of a multiuser cognitive radio network (CRN) consisting of a non-orthogonal multiple access (NOMA)-based primary network (PN) and a reconfigurable intelligent surface (RIS)-based secondary network (SN) sharing the same spectrum. In the symbiotic relationship formed in t...

Mobile edge computing (MEC) in cognitive radio networks is an optimistic technique for improving the computational capability and spectrum utilization efficiency. In this study, we developed an MEC system assisted by a cognitive unmanned aerial vehicle (CUAV), where a CUAV equipped with an MEC server can serve as a relay node and computing node. In...

This paper investigates the power resource optimization problem for a new cognitive radio framework with a symbiotic backscatter-aided full-duplex secondary link under imperfect interference cancellation and other hardware impairments. The problem is formulated using two approaches, namely, maximization of the sum rate and maximization of the prima...

This paper studies a multiple-input and multiple-output (MIMO) multi-hop decode-and-forward (DF) relaying wireless network. Communication between a source node and a destination node is aided via multi-hop relays with simultaneous wireless information and power transfer (SWIPT). We investigate the separate application of both power splitting (PS) a...

In order to address the shortcomings of orthogonal frequency division multiplexing (OFDM) and extend the lifetime of energy-constrained Internet-of-Things (IoT) devices, the combination of filter bank multi-carrier (FBMC) and simultaneous wireless information and power transfer (SWIPT) is investigated in this paper. Specifically, a multi-user FBMC-...

For a self-sustaining wireless communication system in Internet-of-Things (IoT) networks, energy harvesting (EH) can be implemented at each user node as a constant renewable power supply source. Hence, an investigation into the use of wireless powered communication network (WPCN) protocols to facilitate communication between an access point (AP) an...

For a self-sustaining wireless communication system in Internet-of-Things (IoT) networks, energy harvesting (EH) can be implemented at each user node as a constant renewable power supply source. Hence, an investigation into the use of wireless powered communication network (WPCN) protocols to facilitate communication between an access point (AP) an...

This paper studies a multi-hop decode-and-forward (DF) simultaneous wireless information and power transfer (SWIPT) system where a source sends data to a destination with the aid of multi-hop relays which do not depend on an external energy source. To this end, we apply power splitting (PS) based SWIPT relaying protocol so that the relays can harve...

In this paper, we investigate a wireless powered communication network (WPCN) protocol in which mobile stations (MS) with energy harvesting (EH) communicate with a full-duplex access point (FD-AP). The FD-AP is equipped with multiple antennas, while MSs have a single antenna and operate in half duplex (HD) mode. The MSs are assigned two groups acco...

In this paper, we investigate simultaneous wireless information and power transfer (SWIPT) amplify-and-forward (AF) relay systems, in which multiple relay nodes support communication between a source node and a destination node. Relay node transceivers are equipped with radio frequency (RF) energy harvesters for a power source to retransmit the sig...

In this paper, we investigate simultaneous wireless information and power transfer (SWIPT) in a cooperative communication network consisting of one source, one battery-enabled relay, and one destination node. An amplify-and-forward (AF) relaying method is considered; where the relay node harvests energy from the received signal power to charge its...

Spectrum sharing is an efficient solution for spectrum shortage. This paper presents mathematical analysis of a typical co- existence scenario between LTE and radar systems in 2.7-2.9 GHz bands. We present the interference analysis of multiple base stations (BSs) and mobile stations (MSs) on the primary radar. The joint distribution of power-contro...

Background: Intracranial pressure (ICP) measurement is an extremely important part of the neurosurgical healthcare. Existing methods used for monitoring ICP are mainly grouped into invasive and non-invasive methods. Research into techniques for ICP monitoring is now gearing towards non-invasive methods to eliminate complications associated with inv...

Intracranial pressure (ICP) monitoring is an important aspect of neuro-medicine. ICP is the pressure created by the presence of ce-rebrospinal fluid. ICP monitoring techniques consist of invasive (in vivo) and non-invasive methods (in vitro). Modern research aims to eliminate invasive monitoring of ICP and promote non-invasive methods of monitoring...