Resource Allocation for Uplink NOMA and D2D Links with MLWDF Scheduling Discipline

Kazeminia, Mahdi; Tomasin, Stefano; Mehrjoo, Mehri

doi:10.1109/pimrc.2018.8580750

Cited by 4 publications

(4 citation statements)

References 14 publications

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“…Therefore, recent research papers focus on the underlay mode to investigate the performance of NOMA and SIC [13][14][15][16][17][18]. In the overlay mode, the authors in [19] evaluated the performance of NOMA and SIC. However, these papers have deployed NOMA and SIC either in CN [13][14][15][16]19] or D2D-N [17,18], but not both in of them simultaneously.…”

Section: Introductionmentioning

confidence: 99%

“…In the overlay mode, the authors in [19] evaluated the performance of NOMA and SIC. However, these papers have deployed NOMA and SIC either in CN [13][14][15][16]19] or D2D-N [17,18], but not both in of them simultaneously. In the following, we review the papers and summarize their differences in Table 1.…”

Section: Introductionmentioning

confidence: 99%

“…A two-level SIC is performed at the BS, and D2D-Us are allowed to use the channel when the received interference signals of D2D-Us are detectable at the BS. In [19], an RB and power allocation approach is proposed for NOMA-CN overlaying NOMAbased D2D-N to maximize sum-rate and provide queues stability. However, SIC receivers are deployed at the BS, wherein the SIC constraints are introduced based on the channel gains.…”

Section: Introductionmentioning

confidence: 99%

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A D2D-Based Solution for MTC Connectivity Problem in NOMA-Based Cellular IoT Networks: Dynamic User Grouping and Resource Allocation

2020

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In a cellular network (CN), cellular users (CUs) located nearby machine type communications (MTC) devices (MTC-Ds) may act as uplink gateways to relay data to the base station (BS). We consider non-orthogonal multiple access (NOMA) and successive interference cancellation (SIC) at the receiver to increase the number of connected devices and the spectrum efficiency. Both underlay and overlay spectrum access modes (SAMs) are considered. We introduce a dynamic user grouping (UG) concept as a practical constraint for SIC, in order to decrease the receiver complexity. Moreover, SIC constraints are introduced based on a minimum signal-to-noise-plus-interference ratio (SINR) at the receiver. We formulate a joint dynamic UG, power allocation, and resource block (RB) assignment problem, aiming at maximizing the total sum-rate of both CUs and MTC-Ds. We transform the obtained non-convex mixed-integer programming problem into a convex problem by using a quadratic fractional programming (FP). A heuristic method is also proposed to reduce complexity. Simulation results demonstrate that the proposed solution outperforms the conventional CN (C-CN) method and the results of the proposed optimization methods are close to optimal solution obtained by the exhaustive search (ES) algorithm in terms of total average sum-rate and network connectivity, while requiring less transmit power. The heuristic method decrease the computational complexity of the FP method at the expense of a small reduction in spectrum efficiency.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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A D2D-Based Solution for MTC Connectivity Problem in NOMA-Based Cellular IoT Networks: Dynamic User Grouping and Resource Allocation

2020

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“…To meet both the high-throughput requirement and massive connectivity, the authors of [28,29,30,31,32,33] explored Device-to-device (D2D) communications. For example, D2D-enabled dense heterogeneous networks (HetNets) with NOMA was studied in [28].…”

Section: Introductionmentioning

confidence: 99%

On Exact Outage and Throughput Performance of Cognitive Radio based Non-Orthogonal Multiple Access Networks With and Without D2D Link

et al. 2019

Sensors

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In this paper, we investigate the performance of a secondary network in a cognitive radio network employing a non-orthogonal multiple access (NOMA) scheme to form a CR-NOMA system serving many destination users. In the secondary network of our proposed system, a device-to-device (D2D) scheme is deployed to further provide the signal transmission at a close distance of NOMA users in downlink, and such performance is evaluated under the situation of interference reception from the primary network. An outage performance gap exists among these NOMA users since different power allocation factors are assigned to the different destinations. Unlike existing NOMA schemes that consider fixed power allocation factors, which are not optimal in terms of outage performance, our proposed paradigm exhibits optimal outage in the scenario of D2D transmission. In particular, the outage performances in two kinds of schemes in term of existence of D2D link are further achieved. Simulation results validate the analytical expressions, and show the advantage of each scheme in the proposed CR-NOMA system based on outage performance and throughput.

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Fairness-aware resource allocation for D2D-enabled IoT in NOMA-based cellular networks with mutual successive interference cancellation

Eslami

Mirjalily²

2022

Physical Communication

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Resource Allocation for Uplink NOMA and D2D Links with MLWDF Scheduling Discipline

Cited by 4 publications

References 14 publications

A D2D-Based Solution for MTC Connectivity Problem in NOMA-Based Cellular IoT Networks: Dynamic User Grouping and Resource Allocation

A D2D-Based Solution for MTC Connectivity Problem in NOMA-Based Cellular IoT Networks: Dynamic User Grouping and Resource Allocation

On Exact Outage and Throughput Performance of Cognitive Radio based Non-Orthogonal Multiple Access Networks With and Without D2D Link

Fairness-aware resource allocation for D2D-enabled IoT in NOMA-based cellular networks with mutual successive interference cancellation

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