Modeling and analysis of self-interference impaired two-user cooperative MIMO-NOMA system

Ghous, Mujtaba; Hassan, Ahmad Kamal; Abbas, Ziaul Haq; Abbas, Ghulam

doi:10.1016/j.phycom.2021.101441

Cited by 8 publications

(3 citation statements)

References 37 publications

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“…In 2021 Ghous, M., et al, [22] Created a MIMO-NOMA cooperative transmission strategy with SWIPT support, which included beam-forming and self-interference. Since data rate fairness and outage performance of cell-edge users are critical challenges in MIMO-NOMA systems, we focus on how to resolve these difficulties.…”

Section: Literature Reviewmentioning

confidence: 99%

Hexagonal Convolutional Neural Network for Noma Rician Channel Estimator using Hexagonal Quadrature Amplitude Modulation

2024

Informacije MIDEM

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NOMA techniques have attracted much attention due to their ability to support massive connectivity, heterogeneous data traffic, and ultra-low latency requirements, making them ideal for next-generation wireless communication networks. In this paper proposed a novel Hexa CNN for NOMA Rician channel estimator using Hexagonal Quadrature Amplitude Modulation for signal detection and channel estimation (Hexa-QAM). Conventional OFDM-NOMA with HQAM is utilized at the transmitter (tx) side as pilot symbols which inserted to OFDM-NOMA signals to employs the channel estimation (CE) and signal detection advantages of OFDM. Three pilot insertion types Comp, Block, and Hexa were used in the proposed model. The proposed Hexa-QAM can detect the symbols for all users without additional operations based on pilot responses and data signals. However, Hexa CNN is used at the receiver to accomplish a joint flexible signal detection. The Hexagonal Quadrature Amplitude Modulation (Hexa CNN) achieves much better error performance than similar detectors. The Energy Efficiency of the proposed Hexa-QAM technique is 17%, 18%, 23.2%, 23% and 28% better than existing techniques. The accuracy of the proposed technique can be as high as 99.95%, while that of traditional models like the OMA-NOMA, MRC, PD-NOMA and UR-NOMA is 84.9%, 87.58%, and 93.91%, respectively.

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Section: Literature Reviewmentioning

confidence: 99%

Hexagonal Convolutional Neural Network for Noma Rician Channel Estimator using Hexagonal Quadrature Amplitude Modulation

2024

Informacije MIDEM

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“…A user's performance is impaired by the SIC receiver's complexity and error propagation [207][208][209][210]. As a result, non-linear detection that is more efficient with better performance is necessary for addressing this problem and decreasing the impact of error propagation.…”

Section: Receiver's Complexitymentioning

confidence: 99%

Cooperative Power-Domain NOMA Systems: An Overview

Ghous

Hassan

Abbas

et al. 2022

Sensors

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Interference has been a key roadblock against the effectively deployment of applications for end-users in wireless networks including fifth-generation (5G) and beyond fifth-generation (B5G) networks. Protocols and standards for various communication types have been established and utilised by the community in the last few years. However, interference remains a key challenge, preventing end-users from receiving the quality of service (QoS) expected for many 5G applications. The increased need for better data rates and more exposure to multimedia information lead to a non-orthogonal multiple access (NOMA) scheme that aims to enhance spectral efficiency and link additional applications employing successive interference cancellation and superposition coding mechanisms. Recent work suggests that the NOMA scheme performs better when combined with suitable wireless technologies specifically by incorporating antenna diversity including massive multiple-input multiple-output architecture, data rate fairness, energy efficiency, cooperative relaying, beamforming and equalization, network coding, and space–time coding. In this paper, we discuss several cooperative NOMA systems operating under the decode-and-forward and amplify-and-forward protocols. The paper provides an overview of power-domain NOMA-based cooperative communication, and also provides an outlook of future research directions of this area.

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“…The main barrier to FD communication is self-interference (SI). Because the transmitter of a device would be very close to its receiver, it can drown out the stream the device is attempting to receive, potentially causing frequent outages [1,2]. When a FD device has a small number of antennas, clever antenna placement can cancel out SI [3][4][5][6][7].…”

Section: Introductionmentioning

confidence: 99%

An Experiment-Based Comparison between Fully Digital and Hybrid Beamforming Radio Architectures for Many-Antenna Full-Duplex Wireless Communication

et al. 2021

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Full-duplex (FD) communication in many-antenna base stations (BSs) is hampered by self-interference (SI). This is because a FD node’s transmitting signal generates significant interference to its own receiver. Recent works have shown that it is possible to reduce/eliminate this SI in fully digital many-antenna systems, e.g., through transmit beamforming by using some spatial degrees of freedom to reduce SI instead of increasing the beamforming gain. On a parallel front, hybrid beamforming has recently emerged as a radio architecture that uses multiple antennas per FR chain. This can significantly reduce the cost of the end device (e.g., BS) but may also reduce the capacity or SI reduction gains of a fully digital radio system. This is because a fully digital radio architecture can change both the amplitude and phase of the wireless signal and send different data streams from each antenna element. Our goal in this paper is to quantify the performance gap between these two radio architectures in terms of SI cancellation and system capacity, particularly in multi-user MIMO setups. To do so, we experimentally compare the performance of a state-of-the-art fully digital many antenna FD solution to a hybrid beamforming architecture and compare the corresponding performance metrics leveraging a fully programmable many-antenna testbed and collecting over-the-air wireless channel data. We show that SI cancellation through beam design on a hybrid beamforming radio architecture can achieve capacity within 16% of that of a fully digital architecture. The performance gap further shrinks with a higher number of quantization bits in the hybrid beamforming system.

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Modeling and analysis of self-interference impaired two-user cooperative MIMO-NOMA system

Cited by 8 publications

References 37 publications

Hexagonal Convolutional Neural Network for Noma Rician Channel Estimator using Hexagonal Quadrature Amplitude Modulation

Hexagonal Convolutional Neural Network for Noma Rician Channel Estimator using Hexagonal Quadrature Amplitude Modulation

Cooperative Power-Domain NOMA Systems: An Overview

An Experiment-Based Comparison between Fully Digital and Hybrid Beamforming Radio Architectures for Many-Antenna Full-Duplex Wireless Communication

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