HARQ and AMC: Friends or Foes?

Sassioui, Redouane; Jabi, Mohammed; Szczeciński, Leszek; Le, Long Bao; Benjillali, Mustapha; Pelletier, Benoît

doi:10.1109/glocom.2016.7841867

Cited by 11 publications

(34 citation statements)

References 23 publications

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“…Some of these works close to the proposed work are discussed below. In Sassioui et al [2], the efficiency of data transmission using AMC-HARQ schemes over a radio channel with slow and fast fading is evaluated. Recommendations for improving the efficiency of AMC-HARQ interaction are given.…”

Section: A Existing Workmentioning

confidence: 99%

A Packet Delay Assessment Model in the Data Link Layer of the LTE

Amirsaidov

Qodirov

2021

JOIV : Int. J. Inform. Visualization

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The issues of modeling and evaluating the characteristics of the LTE data link layer functioning are considered. Transmitting packets in the data link layer are represented by a probabilistic-temporal graph consisting of two subgraphs. The ﬁrst subgraph describes the operation of the HARQ protocol, and the second subgraph describes the operation of the ARQ protocol. The ﬁrst subgraph is nested within the second subgraph. The probabilities of correct reception, non-error detection, and retransmission of packets in the MAC and RLC layers and generating functions of the packet service time based on the HARQ and ARQ protocols are determined. With the help of generating functions, the average value, variance, and coeﬃcient of variation of the packet service time are determined. To calculate the average packet delay time in the LTE data link layer, the type of queuing system is selected, taking into account the coeﬃcient of variation of the packet service time. The analysis of packets' delay time in the network's data link layer is carried out for diﬀerent values of the intensity of packet arrival and the probabilities of a bit error in the physical layer of the network. For the sustainable functioning of the data link layer of the network, the limit values of the intensity of the arrival of packets are determined for a given probability of a bit error in the physical layer of the network.

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Section: A Existing Workmentioning

confidence: 99%

A Packet Delay Assessment Model in the Data Link Layer of the LTE

Amirsaidov

Qodirov

2021

JOIV : Int. J. Inform. Visualization

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“…In standard HARQ, retransmissions cause latency and queuing delay, because waiting for the receiver's feedback and retransmission scheduling consumes extra time slots [14]. The proactive packet dropping mechanism has been investigated to limit the queuing delay by sacrificing the packet error rate (PER) performance [15][16][17]. In [18], the authors proposed a multi-packet HARQ strategy to schedule two packets simultaneously upon receiving the retransmission request.…”

Section: Introductionmentioning

confidence: 99%

Non-orthogonal HARQ for URLLC Design and Analysis

Nadeem¹,

Shirvanimoghaddam²,

Li³

et al. 2021

Preprint

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The fifth-generation (5G) of mobile standards is expected to provide ultra-reliability and low-latency communications (URLLC) for various applications and services, such as online gaming, wireless industrial control, augmented reality, and self driving cars. Meeting the contradictory requirements of URLLC, i.e., ultra-reliability and low-latency, is considered to be very challenging, especially in bandwidth-limited scenarios. Most communication strategies rely on hybrid automatic repeat request (HARQ) to improve reliability at the expense of increased packet latency due to the retransmission of failing packets. To guarantee high-reliability and very low latency simultaneously, we enhance HARQ retransmission mechanism to achieve reliability with guaranteed packet level latency and in-time delivery. The proposed non-orthogonal HARQ (N-HARQ) utilizes nonorthogonal sharing of time slots for conducting retransmission. The reliability and delay analysis of the proposed N-HARQ in the finite block length (FBL) regime shows very high performance gain in packet delivery delay over conventional HARQ in both additive white Gaussian noise (AWGN) and Rayleigh fading channels. We also propose an optimization framework to further enhance the performance of N-HARQ for single and multiple retransmission cases.

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“…Further, the interactions between the ACM and HARQ were investigated. For example, a throughput comparison of ACM and HARQ with the ACM demonstrated that ACM and HARQ can be combined together to enhance the performance . Compared with the ACM scheme using conventional LDPC code, a system with rateless code can be effectively used to improve the service quality of satellite broadcasting services…”

Section: Introductionmentioning

confidence: 99%

Rateless codes with adaptive parity allocation for satellite systems

Chan

Kim

2020

Satell Commun Network

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In this paper, we propose efficient parity allocation schemes when rateless codes are used in satellite communication systems in conjunction with an adaptive coding and modulation (ACM) scheme. ACM schemes are widely used in modern satellite communication systems to maintain the required error rate performance under channel impairment (such as rain fading observed in high-frequency bands). The performance enhancement of ACM can be achieved by providing a good channel prediction and mode allocation method. In the case of a channel prediction or allocation error, rateless codes can be used as an effective means of retransmission to compensate for the performance degradation. After investigating the performance behaviour of rateless codes combined with ACM, we derive a mathematical formula to find the optimum parity length of the rateless code to be retransmitted to satisfy the target performance requirements.Simulation results described in this paper show that the proposed method can be used to enhance the error performance as well as spectral efficiency. INTRODUCTIONFrequency bands are scarce and expensive resources in satellite systems, and thus efficient spectrum utilization is critical. Adaptive allocation of various resources such as coding and modulation modes with power margins, called an adaptive coding and modulation (ACM) scheme, has been considered as one method to enhance the efficiency of spectrum utilization. ACM schemes in satellite communication systems are powerful means of compensating for rain fading, which severely degrades the performance of systems operating in a high-frequency band. Even though high power margins can guarantee a good communication link, a large power margin of course requires expensive hardware at satellite earth stations and high power consumption at user terminals, thus further increasing service charges. 1Low-density parity check (LDPC) code is a linear forward error correction (FEC) coding scheme. LDPC codes are known to provide capacity limiting performance by virtue of a soft iterative decoding process at the receiver. For this reason, they were designated as FEC schemes in many modern communication and broadcasting standards, such as digital video broadcasting via satellite -2nd generation (DVB-S2) and its extension (DVB-S2X). 2,3 LDPC codes with various code rates are defined in the DVB-S2(X), and they can be applied to the ACM scheme in combination with M-ary amplitude and phase shift keying (APSK) modulation schemes.Good ACM performance requires accurate channel prediction and optimum mode allocation schemes. Prediction and allocation errors can be efficiently compensated if the ACM scheme in the physical layer properly interacts with its counterpart in the upper layer. The hybrid automatic repeat request (HARQ) scheme was considered as an efficient method to eliminate the problem of the prediction and allocation errors. The HARQ is a combination of an FEC scheme with the original ARQ scheme, and the FEC scheme used in HARQ should have its own rate compatibilities.H...

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HARQ and AMC: Friends or Foes?

Cited by 11 publications

References 23 publications

A Packet Delay Assessment Model in the Data Link Layer of the LTE

A Packet Delay Assessment Model in the Data Link Layer of the LTE

Non-orthogonal HARQ for URLLC Design and Analysis

Rateless codes with adaptive parity allocation for satellite systems

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