Performance of Symbol-Level Combining and Bit-Level Combining in MIMO Multiple ARQ Systems

Park, Sangjoon; Choi, Sooyong

doi:10.1109/tcomm.2016.2530712

Cited by 15 publications

(21 citation statements)

References 20 publications

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“…In addition, the proposed and direct SLC schemes outperform BLC, and they achieve a slightly better error performance than BLC even for the initially transmitted packets (r = 1). This is because, unlike SLC in MSARQ systems, SLC in MMARQ systems can provide a better estimation result for initially transmitted packets as well as retransmitted packets [22].…”

Section: Simulation Resultsmentioning

confidence: 99%

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Kalman Filtering Based Combining for MIMO Systems With Hybrid ARQ

Park

2021

IEEE Trans. Signal Process.

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This paper proposes a Kalman filtering (KF)-based combining scheme for multiple-input multiple-output (MIMO) systems with hybrid automatic repeat request (ARQ). In the state-space model, the change of a transmit signal vector in consecutive transmission time intervals (TTIs) is interpreted as the transition of a state vector. Accordingly, the proposed KF operation performs symbol-level combining (SLC) based on linear minimum mean-square-error (LMMSE) detection using the information aggregated up to the current TTI. The statespace model can represent various configurations for MIMO systems with hybrid ARQ (HARQ) via a simple modification of a transition indicating vector. Therefore, compared to the existing SLC schemes designed for a specific system in a dedicated manner, the proposed scheme can be applied to various MIMO-HARQ systems, similar to bit-level combining (BLC). In addition, by employing a low-complexity correction step for the KF operation, the computational complexity of the proposed scheme is lower than that of existing SLC schemes and is comparable to that of BLC. Simulation results and analyses confirm that the proposed scheme outperforms BLC and achieves near-identical error performance to the LMMSE-based direct SLC scheme with a brute-force aggregation of all related information up to the current TTI for the transmitted packet(s).

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Section: Simulation Resultsmentioning

confidence: 99%

“…In [21], an SLC scheme based on QR decomposition with IC was proposed for CC. Meanwhile, in [22], an SLC scheme with IC of all terminated packets was investigated for CC. In [23], the SLC scheme without IC was developed for CC by considering the interference from the terminated packets as noise.…”

Section: A Related Workmentioning

confidence: 99%

Kalman Filtering Based Combining for MIMO Systems With Hybrid ARQ

Park

2021

IEEE Trans. Signal Process.

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“…CASLC scheme has the same performance as MRC scheme but only requires very small memory size. Reference [34] investigated the performance of symbollevel combining (SLC) and BLC schemes of HARQ-CC and gave a conclusion that SLC outperforms BLC in the entire…”

Section: Combining Schemes Of Harqmentioning

confidence: 99%

HARQ-Chaotic: Analog Chaotic Code Applied in HARQ Scheme of Wireless Communication System

Zhu

et al. 2019

Wireless Communications and Mobile Computing

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This paper proposes a novel symbol-level combining hybrid automatic repeat request (HARQ) scheme based on analog chaotic code and named HARQ-Chaotic. The transmitter of HARQ-Chaotic adopts analog chaotic code to encode Quadrature Amplitude Modulation (QAM) symbols of retransmission packets to combat fading and noise. As the analog chaotic code can only handle sources with amplitudes in the range of [-0.5, 0.5], QAM symbols must be scaled into this range. We derived the optimal scaling factor through theoretical analysis. A joint algorithm combining with novel soft chaotic decoder and novel soft QAM demapper is proposed for the receiver to enhance the performance of the whole communication system. We implemented HARQ-Chaotic with LDPC codes and 16-QAM/64-QAM to carry out simulations in both AWGN channels and multipath fading channels. Massive simulation results demonstrate that the proposed HARQ-Chaotic has 1dB-4dB gain over traditional HARQ-Chase combining (HARQ-CC) scheme in block error rate (BLER) performance.

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“…Consequently, ARQ is adopted for the fifth generation (5G) [12] and for several other wireless communications standards such as long term evolution (LTE), wireless fidelity (WiFi), wireless personal area networks (WPANs) and worldwide interoperability for microwave access (WiMAX) [11]. Moreover, ARQ has been considered for several technologies such as non-orthogonal multiple access (NOMA) [13]- [15], multiple-input multiple-output (MIMO), [16], massive MIMO (mMIMO) [17] and cognitive radio (CR) [18].…”

Section: Introductionmentioning

confidence: 99%

A Power and Spectrum Efficient Uplink Transmission Scheme for QoS-Constrained IoT Networks

Yahya¹,

Al-Dweik²,

Iraqi³

et al. 2021

Preprint

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<div>Abstract—Non-orthogonal multiplexing (NOM) is a novel superposition coding inspired scheme that has been recently proposed for improving the power, spectrum efficiency and delay of wireless links with packet error rate (PER) constraints. Despite its efficiency, restricting the number of multiplexed packets to two limits the throughput improvement to 100%. Therefore, this work presents a novel NOM design with unlimited number of multiplexed packets by manipulating the repeated transmissions in automatic repeat request (ARQ) to enhance the power and spectrum efficiency by multiplexing new and repeated packets while taking into account the channel conditions and varying the power per packet in different transmissions. The proposed scheme employs an efficient heuristic algorithm to perform the power assignment and multiplexing decisions. Moreover, the complexity of the proposed NOM can be controlled by enforcing a limit on the maximum number of multiplexed packets per transmission, making it suitable for different types of Internet of Things (IoT) nodes with various computational capabilities. The obtained results demonstrate the effectiveness of proposed scheme, which offers up to 200% spectral efficiency improvement at moderate signal to noise ratios (SNRs), and up to 700% at high SNRs. Furthermore, the new scheme can reduce the transmission power consumption by up to 6 dB in the high SNR region.</div>

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Performance of Symbol-Level Combining and Bit-Level Combining in MIMO Multiple ARQ Systems

Cited by 15 publications

References 20 publications

Kalman Filtering Based Combining for MIMO Systems With Hybrid ARQ

Kalman Filtering Based Combining for MIMO Systems With Hybrid ARQ

HARQ-Chaotic: Analog Chaotic Code Applied in HARQ Scheme of Wireless Communication System

A Power and Spectrum Efficient Uplink Transmission Scheme for QoS-Constrained IoT Networks

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