Concurrent OFDM Demodulation and Turbo Decoding for Ultra Reliable Low Latency Communication

Xiang, Luping; Maunder, Robert G.; Hanzo, Lajos

doi:10.1109/tvt.2019.2961746

Cited by 8 publications

(3 citation statements)

References 42 publications

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“…Figure 6 presents the BER performance of the offered architecture in two different implementations, one of which uses a convolutional code, and the other utilizes a turbo code. Here, the adopted turbo code has a rate of 1/2 and a constraint length of 8, including two convolutional codes [40]. It is well-known that turbo codes deliver more precise a posteriori expectations of the broadcast information compared to convolution codes, provided that both types of codes have identical parameters for code rate and constraint length [41].…”

Section: Simulation Resultsmentioning

confidence: 99%

Estimation of IQI for AF Cooperative Single-Carrier Frequency Domain Equalization Systems Using Channel Decoder Feedback

Marey

Mostafa

2023

Electronics

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The process of amplify-and-forward (AF) relaying is essential to the improvement of both current and future wireless communication standards. Nevertheless, significant performance loss may be posed by in-phase and quadrature imbalance (IQI) caused by defects in radio frequency components. Prior studies into this research problem were restricted to uncoded broadcasts, even though error-correcting codes are frequently used in real applications. To this purpose, we develop a novel approach applicable to the destination terminal for estimating and compensating for IQI that occurs at the source, relay, and destination terminals. The proposed approach is explored in the context of coded emissions of AF single-carrier frequency domain equalization (SC-FDE) systems. In contrast to other methods for mitigating this radio frequency deflection at each node, the proposed system estimates and compensates for all IQI parameters and channel impulse responses simultaneously. With the use of an iterative expectation–maximization (EM) process, a maximum-likelihood (ML) solution to the problem is computed. At each round, the soft information supplied by the channel decoder is employed to create the a posteriori expectations of the sent data symbols, which are then fed into the estimation process as if they were training symbols. In addition, we address how to use the estimated parameters to perform the task of data detection. The offered predictor and detector exchange soft information in a sequential process, boosting the overall system effectiveness. The simulation results show that the proposed method is not only practicable but superior to the established methods.

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Section: Simulation Resultsmentioning

confidence: 99%

Estimation of IQI for AF Cooperative Single-Carrier Frequency Domain Equalization Systems Using Channel Decoder Feedback

Marey

Mostafa

2023

Electronics

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“…A. Related Works 1) NOMA-URLLC: Due to the simple design of OMA systems, most of the recent works concentrate on exploring URLLC with OMA instead of NOMA communications [8]- [10]. As URLLC uses FBL transmissions, the well-known Shannon capacity is no longer the accurate approximation of data rates [11].…”

Section: Introductionmentioning

confidence: 99%

A Reliable Reinforcement Learning for Resource Allocation in Uplink NOMA-URLLC Networks

Ahsan

Liu

et al. 2022

IEEE Trans. Wireless Commun.

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In this paper, we propose a deep state-actionreward-state-action (SARSA) λ learning approach for optimising the uplink resource allocation in non-orthogonal multiple access (NOMA) aided ultra-reliable low-latency communication (URLLC). To reduce the mean decoding error probability in time-varying network environments, this work designs a reliable learning algorithm for providing a long-term resource allocation, where the reward feedback is based on the instantaneous network performance. With the aid of the proposed algorithm, this paper addresses three main challenges of the reliable resource sharing in NOMA-URLLC networks: 1) user clustering; 2) Instantaneous feedback system; and 3) Optimal resource allocation. All of these designs interact with the considered communication environment. Lastly, we compare the performance of the proposed algorithm with conventional Q-learning and SARSA Q-learning algorithms. The simulation outcomes show that: 1) Compared with the traditional Q learning algorithms, the proposed solution is able to converges within 200 episodes for providing as low as 10 −2 long-term mean error; 2) NOMA assisted URLLC outperforms traditional OMA systems in terms of decoding error probabilities; and 3) The proposed feedback system is efficient for the long-term learning process.

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“…A novel sparse vector coding (SVC) scheme is proposed in [9] to further improve the reliability of short packet transmission. The authors of [10] propose a novel processing architecture capable of performing reception, Orthogonal Frequency Division Multiplexing (OFDM) demodulation and turbo decoding concurrently, rather than consecutively.…”

Section: Introductionmentioning

confidence: 99%

Study on MCS Selection and Spectrum Allocation for URLLC Traffic under Delay and Reliability Constraint in 5G Network

Gao,

Sun,

Zhang

et al. 2021

Preprint

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To support Ultra-Reliable and Low Latency Communications (URLLC) is an essential character of the 5th Generation (5G) communication system. Unlike the other two use cases defined in 5G, e.g. enhanced Mobile Broadband (eMBB) and massive Machine Type Communications (mMTC), URLLC traffic has strict delay and reliability requirement. In this paper, an analysis model for URLLC traffic is proposed from the generation of a URLLC traffic until its transmission over a wireless channel, where channel quality, coding scheme with finite coding length, modulation scheme and allocated spectrum resource are taken into consideration. Then, network calculus analysis is applied to derive the delay guarantee for periodical URLLC traffic. Based on the delay analysis, the admission region is found under certain delay and reliability requirement, which gives a lower bound on required spectrum resource. Theoretical results in the scenario of a 5G New Radio system are presented, where the SNR thresholds for adaptive modulation and coding scheme selection, transmission rate and delay, as well as admission region under different configurations are discussed. In addition, simulation results are obtained and compared with theoretical results, which validates that the admission region derived in this work provides a lower spectrum allocation bound.

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Concurrent OFDM Demodulation and Turbo Decoding for Ultra Reliable Low Latency Communication

Cited by 8 publications

References 42 publications

Estimation of IQI for AF Cooperative Single-Carrier Frequency Domain Equalization Systems Using Channel Decoder Feedback

Estimation of IQI for AF Cooperative Single-Carrier Frequency Domain Equalization Systems Using Channel Decoder Feedback

A Reliable Reinforcement Learning for Resource Allocation in Uplink NOMA-URLLC Networks

Study on MCS Selection and Spectrum Allocation for URLLC Traffic under Delay and Reliability Constraint in 5G Network

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