Iterative Interference Cancellation for Non‐orthogonal Multiple Access System

Chen, Min; Yang, Yongqin

doi:10.1049/cje.2020.03.009

Cited by 8 publications

(7 citation statements)

References 19 publications

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“…In different standards, the structure of the decoder is different. There are generally two algorithms used for the implementation of the Turbo decoder: one is the soft-output Viterbi algorithm (SOVA algorithm) based on the improvement of the Viterbi decoding algorithm, the other is the maximum a posterior (MAP) probability estimate and its improved algorithm [12], [13]. The SOVA algorithm has advantages of low decoding complexity and ease of implementation, but its decoding performance is the worst and lacks stability.…”

Section: Introductionmentioning

confidence: 99%

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Design of Low-Power Turbo Encoder and Decoder for NB-IoT

Zhang,

Lin,

Wang

et al. 2024

Chinese J. Elect.

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Turbo code is an error correction coding scheme close to the Shannon limit, usually used in wireless data transmission. Based on the parallel Turbo code algorithm, a parallel Turbo code circuit design scheme is proposed. In the encoder, the recursive systematic convolutional encoder is multiplexed. The decoder is divided into branch metric, recursive, maximum likelihood ratio, and external information calculation modules. The decoding algorithm is based on Max-Log-MAP, controlling the component decoder in parallel. And the state metric calculation in the decoding circuit is combined to reduce the overall power consumption effectively, enabling the encoder and decoder to be used in narrowband Internet of things (NB-IoT). Finally, the hardware scheme of the main functional modules of Turbo code encoding and decoding is designed and implemented. The results show that the dynamic power consumption is less than 50 mW. The overall on-chip power consumption is reduced by 40% at the frequency of 125 MHz compared with previous jobs.

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Section: Introductionmentioning

confidence: 99%

“…The interleaver in NB-IoT is a QPP interleaver of length . The relationship between the input and output is shown in (13).…”

mentioning

confidence: 99%

Design of Low-Power Turbo Encoder and Decoder for NB-IoT

Zhang,

Lin,

Wang

et al. 2024

Chinese J. Elect.

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“…Various techniques have been proposed for ameliorating the near‐far problem, including frequency hopping, new spreading codes [ 6 ] , pulsing modulation [ 5 ] , optimizing pseudolite antenna [ 7 ] . Some scholars also try to apply serial interference cancellation, a cross‐correlation interference elimination technology in mobile communication systems, to PL system as both are code division multiple access (CDMA) systems [ 8 , 9 ] . The preferred one is to pulse the PL signals because of the low resource cost and good resistance to the near‐far effects.…”

Section: Introductionmentioning

confidence: 99%

An Improved Navigation Pseudolite Signal Structure Based on the Kasami Sequences and the Pulsing Scheme

Lin

Sun

et al. 2022

Chinese J of Electronics

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Pseudolites (PLs) are ground‐based satellites, providing users with navigation solutions. However, implementation of the PL system leads to the near‐far problem. In this paper, we proposed an improved navigation PL signal structure of combing Kasami sequences and the pulsing scheme to mitigate the near‐far effect. The pulse modulation method is adopted to ensure that the PLs transmit signals at different timeslots and reduce the PL signals’ mutual interference. Additionally, we employ the small set of Kasami sequences with good cross‐correlation properties to improve the anti‐interference ability. A simulation test based on software is carried out to evaluate the performance of the proposed signal. The simulation proves that the improved PL signal has an impulsive power spectral density, makes it a feasible solution to mitigate the near‐far effect, and performs better in the capture.

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“…Interference cancellation detectors are essential tools for interference removal in different communication systems. Interference cancellation detectors are divided into two main categories: successive or serial interference cancellation (SIC) and parallel interference cancellation (PIC) 3,4 …”

Section: Introductionmentioning

confidence: 99%

“…Interference cancellation detectors are divided into two main categories: successive or serial interference cancellation (SIC) and parallel interference cancellation (PIC). 3,4 Recently, successive interference cancellation emerged as an important detector, especially after the rise of non-orthogonal multiple access (NOMA) as one of the key access schemes for future communication systems 5 where the SIC is adopted as the standard detector for this multiaccess scheme. 6,7 The successive interference cancellation approach is employed not only in NOMA but also in other areas where interference is a performance limiting factor.…”

mentioning

confidence: 99%

Projected Kaczmarz successive interference cancellation detection

Bentrcia

2021

Trans Emerging Tel Tech

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In this article, the recently developed Kaczmarz successive interference cancellation (KSIC) detector is generalized to the nonlinear case; specifically, a projected SIC detection scheme is developed using the projected Kaczmarz iterative method. This novel detector enjoys improved performance with minimal additional computational complexity. The new detector is first presented and then its convergence analysis is detailed. After that, the computational complexity analysis of this detector is conducted and compared to that of the KSIC detector. Finally, extensive numerical simulations are conducted in different scenarios. Simulation results show that the proposed projected Kaczmarz SIC detector can achieve lower BER and can support more users in the system compared to the KSIC detector. INTRODUCTIONWireless fifth generation communication networks exhibit small and dense cell structures. 1,2 This small size network implementation yields various merits but at the same time suffers from various problems. The merits include high data rates and low latency whereas the drawbacks include increasing amounts of intercell, intracell, interantenna, and interuser interference. All these interferences need to be dealt with efficiently; otherwise, they will deteriorate the overall system performance.Interference cancellation detectors are essential tools for interference removal in different communication systems. Interference cancellation detectors are divided into two main categories: successive or serial interference cancellation (SIC) and parallel interference cancellation (PIC). 3,4 Recently, successive interference cancellation emerged as an important detector, especially after the rise of non-orthogonal multiple access (NOMA) as one of the key access schemes for future communication systems 5 where the SIC is adopted as the standard detector for this multiaccess scheme. 6,7 The successive interference cancellation approach is employed not only in NOMA but also in other areas where interference is a performance limiting factor. For example, it is used to suppress multi-access interference (MAI) due to the loss of orthogonality among spreading sequences in code division multiple access (CDMA). 8,9 The SIC is also used to suppress inter-antenna interference (IAI) and inter-carrier interference (ICI) in multiple-input multiple-output (MIMO) and in orthogonal frequency-division multiple-access (OFDMA), respectively. [10][11][12][13] The conventional linear SIC detection approach is regarded as a Gauss-Seidel iterative method where the columns of the system's matrix are used in a cyclic fashion to perform interference cancellation. 14 Recently, a new linear SIC detector employing the Kaczmarz iterative scheme (also known as the algebraic reconstruction technique [ART] in some literature) is devised. 15 This detector exploits the rows of the system's matrix instead of its columns to perform interference

show abstract

Iterative Interference Cancellation for Non‐orthogonal Multiple Access System

Cited by 8 publications

References 19 publications

Design of Low-Power Turbo Encoder and Decoder for NB-IoT

Design of Low-Power Turbo Encoder and Decoder for NB-IoT

An Improved Navigation Pseudolite Signal Structure Based on the Kasami Sequences and the Pulsing Scheme

Projected Kaczmarz successive interference cancellation detection

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