The application and development of SIC technology in wireless communication system

Li, Huafu; He, Wei; He, Qiqi; He, Jiajia

doi:10.1109/iccsn.2017.8230175

Cited by 9 publications

(3 citation statements)

References 19 publications

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“…Where ni stands for the Gaussian white noise (Additive White Gaussian Noise-AWGN) with mean zero and power spectral density N0 (W/Hz) Each mobile decodes its signal using the successive interference cancellation algorithm SIC (Successive Interference cancellation) [13,14] as illustrated in Figure 2 and flowchart in figure 3 below. Here each mobile first decodes the highest power signal then subtracts this signal from the composite signal emitted by the relay station.…”

Section: Pd-noma With Standard Sic Decoding Schemementioning

confidence: 99%

Analysis of the impact of a new successive interference cancellation decoder on outage probability performance in power Domain Non- Orthogonal Multiple Access Transmission

Talla,

Bossou,

Feudjio

et al. 2023

Preprint

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In this article, we evaluate the impact of a new successive interference cancellation scheme on the signal outage probability in the context of PD-NOMA (Power Domain Non-Orthogonal Multiple Access) transmissions. The outage probabilities were assessed for 2 users, UE1 (closest to the base station), and UE2 (farthest from the base station), in a Rayleigh fading channel. The conducted simulations enable a comparison of signal outage probabilities for mobiles using a proposed successive interference cancellation (SIC) decoding scheme, where all interferences with other signals are cancelled, and a standard successive interference cancellation scheme, where only interferences from stronger signals are cancelled. Our simulations establish that the proposed SIC decoding model improves the outage probability performance by 25% for the user farthest from the base station. Generally, an improvement is observed for all mobiles in the network except for the strongest user closest to the base station. In fact, the performance of both SIC decoding models remains identical for the specific case of the strongest user.

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Section: Pd-noma With Standard Sic Decoding Schemementioning

confidence: 99%

Analysis of the impact of a new successive interference cancellation decoder on outage probability performance in power Domain Non- Orthogonal Multiple Access Transmission

Talla,

Bossou,

Feudjio

et al. 2023

Preprint

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“…High-SNR signals are initially deciphered. The performance of the SIC receiver is enhanced by a lowcomplexity, highly effective power allocation algorithm [206]. A practical implementation of this is its use to decode and detect desirable signals when non-idealities and imperfections cause error propagation in SIC.…”

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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“…NOMA can serve more than one user at the same radio resource, and has higher bandwidth efficiency than conventional orthogonal multiple access (OMA) [9]. Since the receiver uses serial interference cancellation (SIC) technology, multiple signals can be combined and transmitted [10].…”

Section: Introductionmentioning

confidence: 99%

User Selection Approach in Multiantenna Beamforming NOMA Video Communication Systems

Tseng

Kao²

2021

Symmetry

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For symmetric non-orthogonal multiple access (NOMA)/multiple-input multiple-output (MIMO) systems, radio resource allocation is an important research problem. The optimal solution is of high computational complexity. Thus, one existing solution Kim et al. proposed is a suboptimal user selection and optimal power assignment for total data rate maximization. Another existing solution Tseng et al. proposed is different suboptimal user grouping and optimal power assignment for sum video distortion minimization. However, the performance of sub-optimal schemes by Kim et al. and Tseng et al. is still much lower than the optimal user grouping scheme. To approach the optimal scheme and outperform the existing sub-optimal schemes, a deep neural network (DNN) based approach, using the results from the optimal user selection (exhaustive search) as the training data, and a loss function modification specific for NOMA user selection to meet the constraint that a user cannot be in both the strong and weak set, and avoid the post processing online computational complexity, are proposed. The simulation results show that the theoretical peak signal-to-noise ratio (PSNR) of the proposed scheme is higher than the state-of-the-art suboptimal schemes Kim et al. and Tseng et al. by 0.7~2.3 dB and is only 0.4 dB less than the optimal scheme at lower online computational complexity. The online computational complexity (testing stage) of the proposed DNN user selection scheme is 60 times less than the optimal user selection scheme. The proposed DNN-based scheme outperforms the existing suboptimal solution, and slightly underperforms the optimal scheme (exhaustive search) at a much lower computation complexity.

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The application and development of SIC technology in wireless communication system

Cited by 9 publications

References 19 publications

Analysis of the impact of a new successive interference cancellation decoder on outage probability performance in power Domain Non- Orthogonal Multiple Access Transmission

Analysis of the impact of a new successive interference cancellation decoder on outage probability performance in power Domain Non- Orthogonal Multiple Access Transmission

Cooperative Power-Domain NOMA Systems: An Overview

User Selection Approach in Multiantenna Beamforming NOMA Video Communication Systems

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