Rate Allocation and Adaptation for Incremental Redundancy Truncated HARQ

Szczeciński, Leszek; Khosravirad, Saeed R.; Duhamel, Pierre; Rahman, Moshiur

doi:10.1109/tcomm.2012.041113.120462

Cited by 99 publications

(142 citation statements)

References 26 publications

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“…It is clear from (12) that the target outage probability α should be nonzero, i.e., α = 0. Together with the first constraint in (17), we have 0 < α ≤ ε.…”

Section: Appendix a Proof Of Theoremmentioning

confidence: 99%

“…By deriving the throughput using Laplace transform, a parameterization-based method is developed to find the optimal rate in (semi-)closed-form to maximize the throughput for various HARQ schemes in [10]. Moreover, when outdated CSI is available at the transmitter, the optimal transmission rate to maximize the LTAT of HARQ-IR is found by using dynamic programming in [12]. Numerical results demonstrate that a notable throughput gain can be achieved by this optimal design.…”

mentioning

confidence: 99%

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Energy-Efficient Optimization for HARQ Schemes Over Time-Correlated Fading Channels

Shi

Yang

et al. 2018

IEEE Trans. Veh. Technol.

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Abstract-Energy efficiency of three common hybrid automatic repeat request (HARQ) schemes including Type I HARQ, HARQ with chase combining (HARQ-CC) and HARQ with incremental redundancy (HARQ-IR), is analyzed and joint power allocation and rate selection to maximize the energy efficiency is investigated in this paper. Unlike prior literature, time-correlated fading channels is considered and two widely concerned quality of service (QoS) constraints, i.e., outage and goodput constraints, are also considered in the optimization, which further differentiates this work from prior ones. Using a unified expression of asymptotic outage probabilities, optimal transmission powers and optimal rate are derived in closed-forms to maximize the energy efficiency while satisfying the QoS constraints. These closed-form solutions then enable a thorough analysis of the maximal energy efficiencies of various HARQ schemes. It is revealed that with low outage constraint, the maximal energy efficiency achieved by Type I HARQ is 1 4 ln 2 bits/J, while HARQ-CC and HARQ-IR can achieve the same maximal energy efficiency as κ∞ 4 ln 2 bits/J where κ∞ = 1.6617. Moreover, time correlation in the fading channels has a negative impact on the energy efficiency, while large maximal allowable number of transmissions is favorable for the improvement of energy efficiency. The effectiveness of the energy-efficient optimization is verified by extensive simulations and the results also show that HARQ-CC can achieve the best tradeoff between energy efficiency and spectral efficiency among the three HARQ schemes.Index Terms-Energy efficiency, time-correlated fading channels, hybrid automatic repeat request, power allocation and rate selection.

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“…It is clear from (12) that the target outage probability α should be nonzero, i.e., α = 0. Together with the first constraint in (17), we have 0 < α ≤ ε.…”

Section: Appendix a Proof Of Theoremmentioning

confidence: 99%

mentioning

confidence: 99%

Energy-Efficient Optimization for HARQ Schemes Over Time-Correlated Fading Channels

Shi

Yang

et al. 2018

IEEE Trans. Veh. Technol.

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“…As a consequence of A2, the puncturing pattern can be designated as q ( ) =[ q (1) , · · · , q ( ) ] T . Then, exploiting the law of total probability, from (14), the CMGF (17) turns out to be …”

Section: The αEsm Modelmentioning

confidence: 99%

“…Most of the works considering such an issue, however, focus on theoretical performance limits based on capacity and channel outage probability, as in [13][14][15][16][17]. Specifically, [13] investigates the problem of power allocation for rate maximization under quantized channel state information (CSI) feedback, [14] adapts the transmission rates using the outdated CSI, whereas [15] proposes two power allocation schemes: one minimizes the transmitted power under a given packet drop rate constraint and the other minimizes the packet drop rate under the available power constraint. Note that in [13][14][15], IR HARQ is considered to optimize performance under narrowband fading channels.…”

Section: Introductionmentioning

confidence: 99%

“…Specifically, [13] investigates the problem of power allocation for rate maximization under quantized channel state information (CSI) feedback, [14] adapts the transmission rates using the outdated CSI, whereas [15] proposes two power allocation schemes: one minimizes the transmitted power under a given packet drop rate constraint and the other minimizes the packet drop rate under the available power constraint. Note that in [13][14][15], IR HARQ is considered to optimize performance under narrowband fading channels. In [16], user and power are jointly selected in a multi-user contest under slow-fading channels and outdated CSI to maximize system goodput (GP), whereas [17] proposes a user, rate, and power allocation policy for GP optimization in multi-user OFDM systems with ACK-NACK feedback.…”

Section: Introductionmentioning

confidence: 99%

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Cross-layer link adaptation for goodput optimization in MIMO BIC-OFDM systems

Andreotti¹,

Lottici

Giannetti

2018

J Wireless Com Network

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This work proposes a novel cross-layer link performance prediction (LPP) model and link adaptation (LA) strategy for soft-decoded multiple-input multiple-output (MIMO) bit-interleaved coded orthogonal frequency division multiplexing (BIC-OFDM) systems employing hybrid automatic repeat request (HARQ) protocols. The derived LPP, exploiting the concept of effective signal-to-noise ratio mapping (ESM) to model system performance over frequency-selective channels, does not only account for the actual channel state information at the transmitter and the adoption of practical modulation and coding schemes (MCSs), but also for the effect of the HARQ mechanism with bit-level combining at the receiver. Such method, named aggregated ESM, or αESM for short, exhibits an accurate performance prediction combined with a closed-form solution, enabling a flexible LA strategy, that selects at every protocol round the MCS maximizing the expected goodput (EGP), i.e., the number of correctly received bits per unit of time. The analytical expression of the EGP is derived capitalizing on the αESM and resorting to the renewal theory. Simulation results carried out in realistic wireless scenarios corroborate our theoretical claims and show the performance gain obtained by the proposed αESM-based LA strategy when compared with the best LA algorithms proposed so far for the same kind of systems.

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A novel adaptive code block group hybrid automatic repeat request scheme for low earth orbit satellite networks

Deng

Liu

Wang

et al. 2021

Satell Commun Network

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Summary Low earth orbit (LEO) satellite networks provide important support to expand 5G‐and‐beyond networks to realize global coverage. Hybrid automatic repeat requests (HARQs) can greatly improve the reliability of transmission through dynamic satellite channels. Due to the large propagation delay in LEO satellite channels, the biggest challenges of HARQ in satellite networks are the delayed channel state information (CSI) and overflow of receiver memory. In this paper, we propose a novel adaptive code block group HARQ (ACBG‐HARQ) scheme that achieves lower retransmission rates with reliable data receiving. First, we build a new channel state model (CSM) to describe the relationship between the packet error rate (PER) and global channel degradation. Three states of receiver memory allocation for HARQ are designed with respect to the channel state and memory occupation: idle state, non‐full state, and full state. Then, we propose an optimal HARQ scheme for LEO satellite networks with the Markov decision process (MDP) based on the fuzzy Q‐learning (FQL) algorithm to improve the accuracy of ACBG‐HARQ state transfer, which contributes to adaptive selection of the HARQ code block group size. Simulation results show that the ACBG‐HARQ scheme can achieve a maximum spectrum efficiency gain of 10% and that the probability of receiver memory overflow is reduced by 1%∼6%.

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Rate Allocation and Adaptation for Incremental Redundancy Truncated HARQ

Cited by 99 publications

References 26 publications

Energy-Efficient Optimization for HARQ Schemes Over Time-Correlated Fading Channels

Energy-Efficient Optimization for HARQ Schemes Over Time-Correlated Fading Channels

Cross-layer link adaptation for goodput optimization in MIMO BIC-OFDM systems

A novel adaptive code block group hybrid automatic repeat request scheme for low earth orbit satellite networks

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