Electrical & Electronics Engineering

Permanent URI for this collectionhttp://197.211.34.35:4000/handle/123456789/131

Electrical & Electronics Engineering

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Author: search.filters.author.Abu-Mahfouz Adnan M.

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    Interference Avoidance Resource Allocation for D2D-Enabled 5G Narrowband Internet of Things
    (IEEE, 2022-06-21) Gbadamosi, Safiu Abiodun,; Hancke Gerhard Petrus; Abu-Mahfouz Adnan M.
    In dense, interference-prone 5G narrowband Internet of Things (NB-IoT) networks, device-to-device (D2D) communication can reduce the network bottleneck. We propose an interference-avoidance resource allocation for D2D-enabled 5G NB-IoT systems that consider the less favorable cell edge narrowband user equipment (NUEs). To reduce interference power and boost data rate, we divided the optimization problem into three subproblems to lower the algorithm’s computational complexity. First, we leverage the channel gain factor to choose the probable reuse channel with better Quality of Service (QoS) control in an orthogonal deployment method with channel state information (CSI). Second, we used a bisection search approach to determine an optimal power control that maximizes the network sum rate, and third, we used the Hungarian algorithm to construct a maximum bipartite matching strategy to select the optimal pairing pattern between the sets of NUEs and the D2D pairs. According to numerical data, the proposed approach increases the 5G NB-IoT system’s performance in terms of D2D sum rate and overall network signal-to-interference plus noise ratio (SINR). The D2D pair’s maximum power constraint, as well as the D2D pair’s location, pico-base station (PBS) cell radius, number of potential reuse channels, and D2D pair cluster distance, all influence the D2D pair’s performance. The simulation results demonstrate the efficacy of our proposed scheme.
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    Adaptive Interference Avoidance and Mode Selection Scheme for D2D-Enabled Small Cells in 5G-IIoT Networks
    (IEEE, 2024-02-10) Gbadamosi, Safiu Abiodun,; Hancke, Gerhard Petrus; Abu-Mahfouz Adnan M.
    Small cell (SC) and device-to-device (D2D) communications can fulfill high-speed wireless communication in indoor industrial Internet-of-Things (IIoT) services and cell-edge devices. However, controlling interference is crucial for optimizing resource sharing (RS). To address this, we present an adaptive interference avoidance and mode selection (MS) framework that incorporates MS, channel gain factor (CGF), and power-allocation (PA) techniques to reduce reuse interference and increase the data rate of IIoT applications for 5G D2D-enabled SC networks. Our proposed approach employs a two-phase RS algorithm that minimizes the system’s computational complexity while maximizing the network sum rate. First, we adaptively determine the D2D user mode for each cell based on the D2D pair channel gain ratios of the cellular and reuse mode. We compute the CGF for each cell with a D2D pair in reuse mode (RM) to select the reuse partner. Then we determine the optimal distributed power for the D2D users and IoTuser equipment using the Lagrangian dual decomposition method to maximize the network sum rate while limiting the interference power. The simulation results indicate that our proposed approach can maximize system throughput and signal-to-interference plus noise ratio, reducing signaling overhead compared to other algorithms
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    Interference-Aware and Coverage Analysis Scheme for 5G NB-IoT D2D Relaying Strategy for Cell Edge QoS Improvement
    (IEEE, 2024-01-15) Gbadamosi, Safiu Abiodun,; Hancke, Gerhard Petrus; Abu-Mahfouz Adnan M.
    In an interference-limited 5G narrowband Internet of Things (NB-IoT) heterogeneous networks (HetNets), device-todevice (D2D) relaying technology can provide coverage expansion and increase network throughput for cell-edge NB-IoT users (NUE). However, as D2D relaying improves the network’s spectral efficiency, it makes interference management and resource allocation more difficult. To improve cell-edge user quality of service (QoS), we propose an interference-aware and coverage analysis scheme for 5G NB-IoT D2D relaying. We divide the optimization problem into three subproblems to reduce the algorithm complexity. First, we use the max-max signal-to-noiseplus-interference ratio (Max-SINR) to select an optimal D2D relay with the highest channel-to-interference-plus-noise ratio (CINR) to relay the source NUE information to the NB-IoT base station (NBS). Second, we optimize the transmit power (TP) of the cell-edge NUE to the relay under the peak interference power constraints using a Lagrange dual approach to ensure the user’s service life. We fixed the TP between the D2D relay and the NBS and then transformed the D2D relay’s coverage problem that maximizes the network uplink data rate into a 0-1 integer programming problem. Then, we propose a heuristic algorithm to obtain the system performance. Due to the high-channel gain between the two communicating devices, the simulation results show that the Max-SINR selection scheme outperforms the other relay selection schemes except for the D2D communication scheme in efficiency, data rate and SINR.