Power Allocation in Cooperative NOMA MU-MIMO Beamforming Based on Maximal SLR Precoding for 5G

Fadhil, Mohammed; Abdullah, Nor Fadzilah; Ismail, Mahamod; Nordin, Rosdiadee; Al-Obaidi, Musaab

doi:10.12720/jcm.14.8.676-683

Cited by 24 publications

(6 citation statements)

References 8 publications

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“…To realize beam selection, precoding is introduced to choose which beams will finally be used. The following describes selecting and reducing the optical drive link by performing zero-forcing (ZF) precoding, thereby reducing power consumption and hardware complexity [ 34 ].…”

Section: System Modelmentioning

confidence: 99%

Research on Power Allocation in Multiple-Beam Space Division Access Based on NOMA for Underwater Optical Communication

Mohsan

Chen

et al. 2023

Sensors

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To meet the transmission requirements of different users in a multiple-beam access system for underwater optical communication (UWOC), this paper proposes a novel multiple-beam space division multiple access (MB-SDMA) system by utilizing a directional radiation communication beam of the hemispherical LED arrays. The system’s access users in the different beams are divided into two categories: the users with a single beam and the users with multiple beams. We also propose a power allocation algorithm that guarantees the quality of service (QoS) for single beam and multiple beam access, especially the QoS for edge users, and fairness for all users. An optimization model of power distribution under the constraints of specific light-emitting diode (LED) emission power is established for two scenarios, which ensure the user QoS for edge users and the max–min fairness for fair users. Using the Karush–Kuhn–Tucker (KKT) condition and the bisection method, we obtain the optimal power allocation expression for the two types of users in the optimization model. Through simulation, we verify that the proposed user classification and power allocation method can ensure the fairness of fair users on the premise of ensuring the QoS of edge users. At the same time, we know that the number of users will affect the improvement of the minimum rate, and the throughput of the non-orthogonal multiple access (NOMA) system is greatly improved compared with the traditional orthogonal multiple access (OMA) systems.

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Section: System Modelmentioning

confidence: 99%

Research on Power Allocation in Multiple-Beam Space Division Access Based on NOMA for Underwater Optical Communication

Mohsan

Chen

et al. 2023

Sensors

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“…Note that MRC joining requires an intelligible indicator that knows about all channel coefficients. With information on the channel coefficients, h_sd ,h_sr and h_rd the yield of the MRC identifier at the goal can be composed as (16) The joining factors An and B ought to be intended to augment the consolidated SNR. A simpler method to structure them is by turning to flag space and location hypothesis standards.…”

Section: Figure5: Amplify and Forward System Modelmentioning

confidence: 99%

“…Transferring innovation can likewise be incorporated in ordinary base station stages, which is cost effective and simple to convey as it does not require extra back take [14].This paper centers around assessing the exhibition of an LTE Advanced system with Relay Nodes on urban smaller scale cells. For that we investigate the thought and hypothesis of LTE Advanced and WINNER channel model to make a reenactment model, which is equipped for assessing the presentation of hand-off sending in an LTE-Advanced using the WINNER channel model [15], [16] [17]. The exhibition is assessed by investigating the Symbol Error Rate (SER) for a specific scope of SNRs.…”

mentioning

confidence: 99%

Performance Optimal for Deploying Relays in Urban Micro Cells on LTE-Advanced Technology

Saif*,

Ismail,

Nordin

et al. 2020

IJITEE

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Cooperative Relay is a promising enhancement to modern radio technologies which has been considered in LTE-Advanced and IEEE 802.16m technologies. Cooperative Relay is one of the technologies that used to improve coverage in downlink mobile network. The work is done by designing numerous environments for LTE-Advanced networks involving relays, whereby using vertical distributions of relays for both AAF & DAF techniques as well as comparison between the performances optimal of both techniques on urban micro cell for LTE-Advanced Technologies, Insertion the channel model from WINNER project. The performances optimal of non-Cooperative Relay and Cooperative Relay are evaluated in terms of Symbol Error Rate (SER) and Signal-to Noise-Ratio (SNR). The simulation results show that relay technologies can effectively improve system performance. On the other hand, 10-Relay in vertical distributions clearly shows outperforms on other environments and, when the relay put near, middle and far from Evolved Node B (eNB), the result shows at SER of 10-3 the system that employs AAF technique outperforms on the system that employs DAF technique in LTE-A system by about 6.5 dB, 2.5 dB and 2 dB sequent.

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“…An optimal power allocation solution that can improve the total data rate of a mobile network cell with a reduced complexity is proposed in [8]. 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].…”

Section: Introductionmentioning

confidence: 99%

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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Power Allocation in Cooperative NOMA MU-MIMO Beamforming Based on Maximal SLR Precoding for 5G

Cited by 24 publications

References 8 publications

Research on Power Allocation in Multiple-Beam Space Division Access Based on NOMA for Underwater Optical Communication

Research on Power Allocation in Multiple-Beam Space Division Access Based on NOMA for Underwater Optical Communication

Performance Optimal for Deploying Relays in Urban Micro Cells on LTE-Advanced Technology

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

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