A Novel Scheduling Technique for NOMA in 5G Wireless Communication Systems

Ahmed, Yasser Naguib

doi:10.23919/gemic.2019.8698130

Cited by 5 publications

(4 citation statements)

References 7 publications

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“…The sorting algorithm determines the strong and weak user sets by considering only their channel gains. Firstly, K IoT devices are sorted based on the channel gains in descending order and classified into two groups as in ( 17) and (18). Using (17), the first N IoT devices which have the highest channel gains are assigned to the strong user set, while using (18), the first N IoT devices which have the highest channel gains are assigned to the weak user set.…”

Section: Proposed Noma Based Mimo-pncmentioning

confidence: 99%

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User Selection for NOMA-Based MIMO With Physical-Layer Network Coding in Internet of Things Applications

Yilmaz

Özbek

İlgüy

et al. 2022

IEEE Internet Things J.

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Non-orthogonal multiple access (NOMA) based multiple-input multiple-output (MIMO), which has the potential to provide both massive connectivity and high spectrum efficiency, is considered as one of the efficient techniques for sixth generation (6G) wireless systems. In massive Internet of Things (IoT) networks, user-set selection is crucial for enhancing the overall performance of NOMA based systems when compared with orthogonal multiple access (OMA) techniques. In this paper, we propose a user-set selection algorithm for IoT uplink transmission to improve the sum data rate of the NOMA based MIMO systems. In order to exchange data between the selected IoT pairs, we propose to employ wireless physical layer network coding (PNC) to further improve the spectral efficiency and reduce the delay to fulfill the requirements of future IoT applications. Performance evaluations are provided based on both sum data rate and bit error rate for the proposed NOMA based MIMO with PNC in the considered massive IoT scenarios.

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Section: Proposed Noma Based Mimo-pncmentioning

confidence: 99%

“…In order to allocate the users to their clusters, the sorting algorithm was presented in [16] and the combination of the semi-orthogonal user selection (SUS) method with user matching technique was examined in [17]. The performance of SUS algorithm with specified regions for the weak and strong users was investigated for downlink MIMO-NOMA in [18].…”

mentioning

confidence: 99%

User Selection for NOMA-Based MIMO With Physical-Layer Network Coding in Internet of Things Applications

Yilmaz

Özbek

İlgüy

et al. 2022

IEEE Internet Things J.

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“…Here, we propose an efficient user clustering methods based on spatial correlation against the generated orthogonal directions to improve overall system performance. Although several techniques have been examined for clustering the users in the literature as in [13], the proposed approach is more suitable for real-time applications, due to its reduced complexity and high flexibility.…”

Section: The Proposed User Clustering Algorithmmentioning

confidence: 99%

“…The sorting algorithm in [11] and the SUS algorithm with user matching technique [12] have been also adopted for MISO-NOMA. In addition to that, an improved version of the SUS algorithm has been examined in [13] to further increase the sum data rate in a defined scenario with specified regions for the weak and strong users, which may not be practically applicable in all deployment scenarios. In the existing studies, the performance evaluations are frequently investigated in terms of capacity, while leaving the error performances unexamined.…”

Section: Introductionmentioning

confidence: 99%

Design and Implementation of Spatial Correlation-Based Clustering for Multiuser MISO-NOMA Systems

2021

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In this letter, we propose a novel user clustering algorithm for downlink multiuser multiple-input single-output (MISO) non-orthogonal multiple access (NOMA) systems along with its implementation in a real-time testing environment. The proposed method selects the clusters by considering users' spatial channel properties against the generated orthogonal directions. This is then followed by power allocation and zero-forcing precoding steps to mitigate the interference between the selected clusters. Performance comparisons are provided in terms of both real-time tests and simulations. It is demonstrated that a notable improvement in capacity and reliability can be obtained through the proposed approach in multiuser MISO-NOMA systems with reduced complexity.

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Covert non-orthogonal multiple access communication assisted by multi-antenna jamming

Peng

Zhang

et al. 2022

Physical Communication

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A Novel Scheduling Technique for NOMA in 5G Wireless Communication Systems

Cited by 5 publications

References 7 publications

User Selection for NOMA-Based MIMO With Physical-Layer Network Coding in Internet of Things Applications

User Selection for NOMA-Based MIMO With Physical-Layer Network Coding in Internet of Things Applications

Design and Implementation of Spatial Correlation-Based Clustering for Multiuser MISO-NOMA Systems

Covert non-orthogonal multiple access communication assisted by multi-antenna jamming

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