Iterative multiuser detection for LDPC MIMO SC‐FDMA communication systems

Lee, Shun-Rong; Ueng, Fang‐Biau; Wang, Hsuan-Fu; Chang, Yu-Kuan

doi:10.1002/ett.2773

Cited by 4 publications

(32 citation statements)

References 26 publications

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“…Similar observations have been recently investigated in [12] under linear equalizations approach. Similar observations have been recently investigated in [12] under linear equalizations approach.…”

Section: Introductionsupporting

confidence: 82%

“…This motivates considerable research interest for multiple-input multiple-output (MIMO) with multiple antennas techniques in wireless transmission scenarios. To achieve both spatial and frequency diversities in fading channels, space frequency block coding (SFBC) is suggested in [7][8][9][10][11][12]. In order to achieve this goal, diversity technique is suggested to suppress the severe effects of interference from other users and multi-path fading in wireless communications [1].…”

Section: Introductionmentioning

confidence: 99%

“…SFBC with cyclic-prefixed single carrier FD equalization is introduced to resist detrimental effects of fading in wireless communication [8]. Suboptimal turbo FD linear strategies devised for SFBC SC-FDMA uplink MIMO transmission performance comparison are reported in [12]. Suboptimal turbo FD linear strategies devised for SFBC SC-FDMA uplink MIMO transmission performance comparison are reported in [12].…”

Section: Introductionmentioning

confidence: 99%

“…As a result, suboptimal turbo FD nonlinear detection is employed as a design alternative to FD linear detection [12]. As a result, suboptimal turbo FD nonlinear detection is employed as a design alternative to FD linear detection [12].…”

Section: Introductionmentioning

confidence: 99%

“…(2) The new method analyzes the performance of SFBC SC-FDMA uplink system for different subcarrier allocation scenarios with different modulation schemes whereas scheme [12] considered QPSK constellation. (4) The presented scheme contributes to the less-complexity of the iterative nonlinear detection because it is not required to derive direct matrix inversion, whereas inversion appears in the conventional linear equalization [12]. (4) The presented scheme contributes to the less-complexity of the iterative nonlinear detection because it is not required to derive direct matrix inversion, whereas inversion appears in the conventional linear equalization [12].…”

Section: Introductionmentioning

confidence: 99%

See 4 more Smart Citations

Iterative nonlinear detection for SFBC SC–FDMA uplink MIMO transmission systems

Ganeshkumar¹,

Selvaraj²,

Anandaraj³

et al. 2016

Int J Communication

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Single-carrier frequency division multiple access (SC-FDMA) systems with space frequency block coding (SFBC) transmissions achieve both spatial and frequency diversity gains in wireless communications. However, SFBC SC-FDMA schemes using linear detectors suffer from severe performance deterioration because of noise enhancement propagation and additive noise presence in the detected output. Both issues are similar to inter-symbol-interference (ISI). Traditionally, SC-FDMA system decision feedback equalizer (DFE) is often used to eliminate ISI caused by multipath propagation. This article proposes frequency domain turbo equalization based on nonlinear multiuser detection for uplink SFBC SC-FDMA transmission systems. The presented iterative receiver performs equalization with soft decisions feedback for ISI mitigation. Its coefficients are derived using minimum mean squared error criteria. The receiver configuration study is Alamouti's SFBC with two transmit and two receive antennas. New receiver approach is compared with the recently proposed suboptimal linear detector for SFBC SC-FDMA systems. Simulation results confirm that the performance of the proposed iterative detection outperforms conventional detection techniques. After a few iterations, bit-error-rate performance of the proposed receiver design is closely to the matched filter bound.

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Section: Introductionsupporting

confidence: 82%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Iterative nonlinear detection for SFBC SC–FDMA uplink MIMO transmission systems

Ganeshkumar¹,

Selvaraj²,

Anandaraj³

et al. 2016

Int J Communication

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Transceiver design for STBC transmission over MIMO multiple‐access SC‐FDE systems

Sheikh‐Hosseini

2018

Trans Emerging Tel Tech

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This paper investigates the transceiver design for a multiple‐input multiple‐output multiple‐access system, J cochannel users each having Q antennas and an array‐processing receiver employing M receive antennas, in which the single‐carrier frequency‐domain equalization technique is used as the physical layer solution for the transmission of different space‐time block coding (STBC) schemes. Assuming quasi‐static fading model and no channel state information at the user terminals, a transceiver design is provided for this system utilizing M=J receive antennas for interference cancellation, frequency‐domain equalization, and detection of the users. First, this design is considered for orthogonal and generalized coordinate interleaved orthogonal design STBCs as 2 single‐symbol decodable STBC schemes and then extended to quasi‐orthogonal STBC as a double‐symbol decodable STBC scheme. For this extension, each quasi‐orthogonal system of J users and Q transmit antennas is converted to 2 orthogonal subsystems of J cochannel users each having Q antennas and then each subsystem is detected using the proposed method for orthogonal STBC transmission. Finally, the average bit error rate of the obtained designs is numerically illustrated for different STBC schemes with various numbers of users and transmitting antennas.

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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

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Iterative multiuser detection for LDPC MIMO SC‐FDMA communication systems

Cited by 4 publications

References 26 publications

Iterative nonlinear detection for SFBC SC–FDMA uplink MIMO transmission systems

Iterative nonlinear detection for SFBC SC–FDMA uplink MIMO transmission systems

Transceiver design for STBC transmission over MIMO multiple‐access SC‐FDE systems

Projected Kaczmarz successive interference cancellation detection

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