An interference management approach for CR-assisted cooperative D2D communication

Bakhsh, Zohre Mashayekh; Moghaddam, Javad Zeraatkar; Ardebilipour, Mehrdad

doi:10.1016/j.aeue.2019.153026

Cited by 11 publications

(7 citation statements)

References 35 publications

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“…To be specific, in a CR network context, there are three types of harmful interference that have a negative influence on the performance of communication systems, namely interference between PUs and SUs, i.e., PU-to-SU, SU-to-PU, and SU-to-SU. While several cooperative solutions have been established to effectively address the PU-to-SU interference problem, the SU-to-SU and SU-to-PU interference issues continue to be challenging tasks [52].…”

Section: Cr-based Noma Network Challengesmentioning

confidence: 99%

Integration of Cognitive Radio Technology in NOMA-Based B5G Networks: State of the Art, Challenges, and Enabling Technologies

Abdel-Razeq

Al‐Obiedollah

2023

IEEE Access

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The integration of cognitive radio (CR) technology and non-orthogonal multiple access (NOMA) techniques, referred to as CR-based NOMA system, has been recently configured as a promising solution to meet the requirements of beyond fifth generation (B5G) networks, especially those related to Internet-of-Things (IoT) applications. With such integration, power domain NOMA allows multiple users to share the same orthogonal resource blocks, while CR technology enables opportunistic bandwidth utilization by permitting secondary users (SUs) to access the licensed spectrum frequency without interrupting the primary users' (PUs) activities. To support the massive connectivity requirements of IoT-based networks, several multiple-access techniques have been recently combined with CR-based NOMA systems, including orthogonal multiple access (OMA) and multiple-antenna techniques. For example, in CR-based OMA-NOMA systems, the licensed frequency band is split into several channels, and a set of SUs is served on each channel using the NOMA technique. This paper provides an overview and analysis of the stateof-the-art CR-based NOMA network architecture. It summarizes the main design challenges related to the practical implementation of such systems. Furthermore, this paper presents the advances of combining CR-based NOMA with recent multiple-access techniques, where the potential capabilities and the design challenges of such integrated systems are also investigated and discussed. On the other hand, this paper demonstrates the potential capabilities of deploying recent technologies in CR-based NOMA networks. The technologies include intelligent reflecting surfaces, terahertz communications, machine learning, unmanned aerial vehicles, and hybrid NOMA systems. Finally, future research directions and open issues are provided and discussed. INDEX TERMS Cognitive Radio (CR), NOMA, Internet-of-Things (IoT), 5G, B5G.

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Section: Cr-based Noma Network Challengesmentioning

confidence: 99%

Integration of Cognitive Radio Technology in NOMA-Based B5G Networks: State of the Art, Challenges, and Enabling Technologies

Abdel-Razeq

Al‐Obiedollah

2023

IEEE Access

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“…While the path loss is calculated using Equations ( 13) and ( 14), the acceptability is calculated by Equation ( 16), and the SINR value on the uplink and downlink sides of the CUE is obtained based on Equations ( 17) and (18). Meanwhile, the SINR value during the downlink and uplink DUE phases are estimated using Equations ( 19) and (20).…”

Section: Proposed Adaptive Power Controlmentioning

confidence: 99%

“…The proposed interference management scheme can separate the interference in the network into cross-cluster and intra-cluster interference, and then the interference is handled separately. In contrast, other studies [19], [20] focused on interference management in the cooperative D2D communication system. Ghallab and Shokair [19] proposed an amplify-and-forward (AF) strategy method with maximum ratio combining (MRC) to reduce interference and cancellation in the cooperative D2D communication system.…”

Section: Introductionmentioning

confidence: 98%

“…However, to the best of the authors' knowledge, the literature on interference management for cooperative D2D systems is scant. Several studies have also been carried out for D2D [16], [17], [18] and cooperative D2D systems [19], [20]. Such research [16], [17], [18] focuses on interference management in D2D systems.…”

Section: Introductionmentioning

confidence: 99%

“…Based on their proposed method, it can increase throughput and improve the bit error rate (BER) as well as the effect of the number of D2D pairs on the outage value. Meanwhile, Bakhsh et al [20] proposed a new relay selection (RS) method with cooperative beamforming (CBF) techniques to increase the signal-to-interference and noise ratio (SINR) at the receiver for a cooperative D2D communication system in the cognitive radio network.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

A New Adaptive Power Control Based on LEACH Clustering Protocol for Interference Management in Cooperative D2D Systems

et al. 2022

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The cooperative device-to-device (D2D) system is becoming one of the most popular communication models in wireless 5G technology that combines the D2D system with cooperative communication to extend coverage and increase system performance. However, interference is one of the factors of decreasing service quality in cooperative D2D systems because of adjacent users/clusters and excessive power usage, which also causes interference to the receiver. Interference management, such as power control, can overcome interference problems in the cooperative D2D communication system. Therefore, this paper proposes a new form of adaptive power control (APC) based on the low-energy adaptive clustering hierarchy (LEACH) protocol for interference management systems in cooperative D2D systems that other studies have not considered. For a fair comparison, this paper also modifies the conventional fixed power control (FPC) method using the LEACH protocol and the modified fixed power control (MFPC) used in the previous study and then considers the system without power control. The simulation results show that the proposed APC can significantly reduce interference in cooperative D2D communication compared to the MFPC and without power control. Moreover, the simulation results also show that concerning the signal-to-interference and noise ratio (SINR) to the outage probability and throughput, the proposed APC performs better than the MFPC and without power control. Thus, the proposed APC can effectively reduce interference in cooperative D2D systems.

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Interference Management in Cognitive Radio Networks

2021

Spectrum Sharing in Cognitive Radio Networks

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An interference management approach for CR-assisted cooperative D2D communication

Cited by 11 publications

References 35 publications

Integration of Cognitive Radio Technology in NOMA-Based B5G Networks: State of the Art, Challenges, and Enabling Technologies

Integration of Cognitive Radio Technology in NOMA-Based B5G Networks: State of the Art, Challenges, and Enabling Technologies

A New Adaptive Power Control Based on LEACH Clustering Protocol for Interference Management in Cooperative D2D Systems

Interference Management in Cognitive Radio Networks

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