Fixed Power Allocation for Outage Performance Analysis on AF-assisted Cooperative NOMA

Do, Dinh‐Thuan; Nguyen, Tu-Trinh Thi

doi:10.12720/jcm.14.7.560-565

Cited by 15 publications

(4 citation statements)

References 12 publications

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“…When deploying the AF system, Dinh-Thuan Do et al suggested a fixed power allocation method in [2] to demonstrate the outage performance of individual users in the NOMA scheme. Furthermore, the effect of the source node's transmit SNR in cooperative relaying NOMA on throughput is assessed.…”

Section: Related Studymentioning

confidence: 99%

Implications of Power Allocation Factors on the Performance of Ergodic Sum Rate in Cooperative Device-to-Device Systems with NOMA

-¹,

-²

2023

IJFMR

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The power allocation issue for cooperative device-to-device (D2D) systems with non-orthogonal multiple access (NOMA) is examined in this paper. In cooperative device-to-device (D2D) NOMA systems, communication occurs in two phases: the direct transmission slot, or the path from the base station to user destinations, and the relaying slot, or the path from the relay (near the user), with different power allocation factors to improve the ergodic sum rate. It is suggested that power allocation considerations affect how well the ergodic sum rate performs with different decoding techniques. The decoding techniques include Reed Solomon's (RS) encoded single signal decoding technique and Reed Solomon's (RS) encoded maximum ratio combining (MRC) decoding technique. The error probability of successive decoding will increase if any errors occur during the successive interference cancellation (SIC) procedure at any user. In order to detect and correct multiple symbol errors in a Rayleigh fading environment, RS codes are used in the system architecture for error detection and correction. Through the results of the simulation, it is demonstrated that the proposed approach performs much better than the existing work for the fixed values of the power allocation parameters.

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Section: Related Studymentioning

confidence: 99%

Implications of Power Allocation Factors on the Performance of Ergodic Sum Rate in Cooperative Device-to-Device Systems with NOMA

-¹,

-²

2023

IJFMR

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“…Given the minimum power for each user (10.c), the optimization problem (10) may not a solution if the total transmission power is not large enough. If the problem of maximizing energy efficiency is not feasible, then we maximize the number of users in the cluster and hereto we provide an efficiency.…”

Section: Proposed Solutionmentioning

confidence: 99%

“…If the problem of maximizing energy efficiency is not feasible, then we maximize the number of users in the cluster and hereto we provide an efficiency. We compare sum of the minimum power required by users with the total transmission power for determining the feasibility of the optimization problem (10). The minimum power required by each user is equal to:…”

Section: Proposed Solutionmentioning

confidence: 99%

“…In [9], the minimum transmission power of each user is calculated using the maximal signal to leakage ratio (maximal-SLR) solution for each user. Furthermore, a new radio access scheme is proposed which consists of the relay protocol and the NOMA method [10]. A power allocation scheme is obtained for a set of parallel channels while the transmitter has partial channel status information [11].…”

Section: Introductionmentioning

confidence: 99%

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Energy Efficient Power Allocation in Massive MIMO Systems with Power Limited Users

Gharagezlou

Nangir

Imani

et al. 2021

Lecture Notes in Electrical Engineering

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In this paper, we investigate energy-efficient (EE) power allocation (PA) for a special downlink scenario of the massive multiple-input multiple-output (MIMO) systems. We consider a minimum power required for each user to ensure that the quality of service (QoS) for each user is satisfied. In this method, a comparison between the sum of minimum power required by users and the maximum transmission power is done to determine whether maximizing EE is possible or not. If the sum of the minimum power required by users is less than the maximum transmission power, we maximize EE. Otherwise, the number of admitted users in a cluster is maximized. In both cases, the simulation results show that the proposed algorithm has better performance than similar algorithms.

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Dynamic and efficient device collaborations in 5G‐advanced and 6G networks

Han,

Zhou,

Kou

et al. 2024

IET Communications

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Collaborative transmission, comprising multiple devices owned by a single user, is progressively evolving into an essential strategy to meet the stringent demands of burgeoning collaborative scenarios in 5G‐advanced and 6G networks. This paper proposes three novel use cases for device collaboration, namely data duplication, data splitting and wireless backup, to address these requirements. To provide dynamic and efficient collaboration, both non‐transparent mode via the medium access control layer collaboration and transparent mode via the physical layer collaboration are proposed. The paper further introduces a comprehensive design framework including protocol stack design, user equipment capability reporting, user equipment pairing, scheduling mechanism and transmission mechanism for different collaborative use cases with different collaborative modes. Evaluation outcomes reveal that the recommended methods could decrease the resources consumed for data duplication while increasing the user perceived throughput for data duplication and data splitting. The proposed methods also augment transmission reliability for both data duplication and wireless backup.

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Fixed Power Allocation for Outage Performance Analysis on AF-assisted Cooperative NOMA

Cited by 15 publications

References 12 publications

Implications of Power Allocation Factors on the Performance of Ergodic Sum Rate in Cooperative Device-to-Device Systems with NOMA

Implications of Power Allocation Factors on the Performance of Ergodic Sum Rate in Cooperative Device-to-Device Systems with NOMA

Energy Efficient Power Allocation in Massive MIMO Systems with Power Limited Users

Dynamic and efficient device collaborations in 5G‐advanced and 6G networks

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