Performance analysis of incremental redundancy type hybrid ARQ for finite-length packets in AWGN channel

Kim, Seong Hwan; Sung, Dan Keun; Le‐Ngoc, Tho

doi:10.1109/glocom.2013.6831379

Cited by 11 publications

(2 citation statements)

References 8 publications

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“…The optimization of the HARQ mechanism has been addressed in the literature from diverse aspects. The performance of HARQ protocols in the presence of short packets has been studied in [9], [10]. In [11], [12] different adaptive power and rate allocation mechanisms are proposed to enhance the retransmission attempts to improve the overall system performance.…”

Section: A Related Workmentioning

confidence: 99%

Swift HARQ Based on Machine Learning for Latency Minimization in URLLC

2023

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Section: A Related Workmentioning

confidence: 99%

Swift HARQ Based on Machine Learning for Latency Minimization in URLLC

2023

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“…In [7] the authors showed that the gap between the FBL and the Shannon capacity is reduced when employing a feedback channel. The maximal reduction of this gap is achieved through the utilization of unequal transmission/retransmission sizes [8], motivating the study of hybrid automatic repeat request (HARQ) optimization techniques [9]- [12].…”

Section: Introductionmentioning

confidence: 99%

Multi-User IR-HARQ Latency and Resource Optimization for URLLC

Santos,

Castanheira,

Silva

et al. 2023

IEEE Access

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The ultra-reliable low-latency communications (URLLC) tight latency requirements paired with transmission of small payload packets motivates the development of techniques that reduce or eliminate the need for dynamic scheduling. This justifies the study of grant free (GF) leveraged techniques in order to reduce both the latency and control signaling overhead. Previous works considered preallocating resources not only for the first transmission, but also for all possible IR-HARQ transmissions, effectively reducing the scheduling latency and control signaling overhead. However, this has several drawbacks, as it translates into wasted resources. To address these issues, we propose a group-based preallocation method combined with IR-HARQ. Initially, a pool of preallocated resources is assigned to a group of users, which then cooperatively use IR-HARQ feedback signals to distribute, on the fly, the resources amongst them without collisions. The proposed method has two phases: a preallocation phase that takes place once at the group formation stage and a transmission phase which happens at each uplink transmission. The transmission parameters for all possible transmission scenarios are selected at the preallocation stage, with the goal of reducing the latency under reliability and energy constraints. The transmission parameters are obtained through a constrained latency optimization procedure, which considers the stochastic nature of the underlying process. We prove that, asymptotically, the proposed scheme is able to reduce the latency, at least, down to the average latency of any single user (SU) HARQ. The numerical results show that the latency and resources wastage is significantly reduced comparatively to single user IR-HARQ with preallocated resources.

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Ultra Reliable Communication via Optimum Power Allocation for HARQ Retransmission Schemes

2020

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In this work, we develop low complexity, optimal power allocation algorithms that would allow ultra reliable operation at any outage probability target with minimum power consumption in the finite blocklength regime by utilizing Karush-Kuhn-Tucker (KKT) conditions. In our setup, we assume that the transmitter does not know the channel state information (CSI). First, we show that achieving a very low packet outage probability by using an open loop setup requires extremely high power consumption. Thus, we resort to retransmission schemes as a solution, namely Automatic Repeat Request (ARQ), Chase Combining Hybrid ARQ (CC-HARQ) and Incremental redundancy (IR) HARQ. Countrary to classical approaches, where it is optimal to allocate equal power with each transmission, we show that for operation in the ultra reliable regime (URR), the optimal strategy suggests transmission with incremental power in each round. Numerically, we evaluate the power gains of the proposed protocol. We show that the best power saving is given by IR-HARQ protocol. Further, we show that when compared to the one shot transmission, these protocols enable large average and maximum power gains. Finally, we show that the larger the number of transmissions is, the larger power gains will be attained.

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Performance analysis of incremental redundancy type hybrid ARQ for finite-length packets in AWGN channel

Cited by 11 publications

References 8 publications

Swift HARQ Based on Machine Learning for Latency Minimization in URLLC

Swift HARQ Based on Machine Learning for Latency Minimization in URLLC

Multi-User IR-HARQ Latency and Resource Optimization for URLLC

Ultra Reliable Communication via Optimum Power Allocation for HARQ Retransmission Schemes

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