Ultra Reliable Communication via Optimum Power Allocation for HARQ Retransmission Schemes

Dosti, Endrit; Shehab, Mohammad; Alves, Hirley

doi:10.1109/access.2020.2994277

Cited by 20 publications

(21 citation statements)

References 34 publications

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“…The solution showed that EBP model with retransmission is an ultra-reliable power saving scheme which improves the energy efficiency with limited increase in latency. Better performance and higher EEE gain could be achieved by applying Chase Combining (CC-HARQ) and Incremental redundancy (IR-HARQ) protocols [39]. This is left as possible extension for this work along with the analysis of EEE in multi-user networks as in Fig.…”

Section: Discussionmentioning

confidence: 96%

Effective Energy Efficiency of Ultrareliable Low-Latency Communication

Shehab

Alves

Jorswieck

et al. 2021

IEEE Internet Things J.

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Effective Capacity defines the maximum communication rate subject to a specific delay constraint, while effective energy efficiency (EEE) indicates the ratio between effective capacity and power consumption. We analyze the EEE of ultrareliable networks operating in the finite blocklength regime. We obtain a closed form approximation for the EEE in quasi-static Nakagami-(and Rayleigh as sub-case) fading channels as a function of power, error probability, and latency. Furthermore, we characterize the QoS constrained EEE maximization problem for different power consumption models, which shows a significant difference between finite and infinite blocklength coding with respect to EEE and optimal power allocation strategy. As asserted in the literature, achieving ultra-reliability using one transmission consumes huge amount of power, which is not applicable for energy limited IoT devices. In this context, accounting for empty buffer probability in machine type communication (MTC) and extending the maximum delay tolerance jointly enhances the EEE and allows for adaptive retransmission of faulty packets. Our analysis reveals that obtaining the optimum error probability for each transmission by minimizing the non-empty buffer probability approaches EEE optimality, while being analytically tractable via Dinkelbach's algorithm. Furthermore, the results illustrate the power saving and the significant EEE gain attained by applying adaptive retransmission protocols, while sacrificing a limited increase in latency.

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Section: Discussionmentioning

confidence: 96%

Effective Energy Efficiency of Ultrareliable Low-Latency Communication

Shehab

Alves

Jorswieck

et al. 2021

IEEE Internet Things J.

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“…where R is the code-rate, whereas R c is the rate achieved after th round, also termed as effective rate. Outage probability is also measured through various other parameters such as signal to interference plus noise ratio (SINR) [123], [124], [127] and accumulated mutual information (AMI) [125], [126]. Outage probability is also related to the achieved transmission rate.…”

Section: B Reliabilitymentioning

confidence: 99%

“…It is therefore necessary to find optimal power allocations for a system to get rid of maximum possible hinges. Optimal average power allocation for URLLC is derived in [127] and given as,…”

Section: Energy and Power Efficiencymentioning

confidence: 99%

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Hybrid Automatic Repeat Request (HARQ) in Wireless Communications Systems and Standards: A Contemporary Survey

Ahmed¹,

Al-Dweik²,

Iraqi³

et al. 2021

Preprint

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<div>Automatic repeat request (ARQ) schemes, and in particular hybrid-ARQ (HARQ) schemes, which jointly adopt forward error correction (FEC) and ARQ, are essential to provide reliable data transmission in wireless communications systems. However, the feedback from the receiver to the transmitter and the retransmission process used in ARQ incurs significant cost in terms of power efficiency, throughput, computational power and delay. Unfortunately, such drawbacks can limit their applications to several current and emerging technologies. More specifically, the increasing number of wireless users has create spectrum scarcity, relying on small-size batteries create power constraints, deployment of real-time applications boost the demand for ultralow delay networks, and the ultra-small low-cost internet of things (IoT) devices has limited signal processing and computation capabilities. Consequently, extensive research efforts have been dedicated to overcome the limitations inherent in HARQ. This survey paper provides an extensive literature review of the state-of-the-art HARQ techniques and discusses their integration in various wireless technologies. Moreover, it provides insights on advantages and disadvantages of particular ARQ types and discusses open problems and future directions.</div>

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“…In particular, hybrid ARQ (HARQ) combines error detection with error correction by adding redundancy bits to the transmitted frames, and if the message decoding fails, a series of retransmission rounds are performed [5][6][7][8]. Depending on whether the erroneous message is discarded or stored, the HARQ is categorized as Type I HARQ or soft combining HARQ, respectively [5][6][7][8].…”

Section: Introductionmentioning

confidence: 99%

Power Allocation for Reliable and Energy-Efficient Optical LEO-to-Ground Downlinks with Hybrid ARQ Schemes

Kapsis

Panagopoulos

2022

Photonics

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Satellites in low earth orbit (LEO) are currently being deployed for numerous communication, positioning, space and Earth-imaging missions. To provide higher data rates in direct-to-user links and earth observation downlinks, the free-space optics technology can be employed for LEO-to-ground downlinks. Moreover, the hybrid automatic repeat request (HARQ) can be adopted since the propagation latency is low for LEO satellites. In this work, a power allocation methodology is proposed for optical LEO-to-ground downlinks under weak turbulence employing HARQ retransmission schemes. Specifically, the average power consumption is minimized given a maximum transmitted power constraint and a target outage probability threshold to ensure energy efficiency and reliability, respectively. The optimization problem is formulated as a constrained nonlinear programming problem and solved for Type I HARQ, chase combining (CC) and incremental redundancy (IR) schemes. The solutions are derived numerically via iterative algorithms, namely interior-point (IP) and sequential quadratic programming (SQP), and validated through an exhaustive (brute-force) search. The numerical simulations provide insight into the performance of the retransmission schemes regarding average power. More specifically, Type I HARQ has the worst output, CC has a moderate one, and IR exhibits the best performance. Finally, the IP algorithm is a slower but more accurate solver, and SQP is faster but slightly less accurate.

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Ultra Reliable Communication via Optimum Power Allocation for HARQ Retransmission Schemes

Cited by 20 publications

References 34 publications

Effective Energy Efficiency of Ultrareliable Low-Latency Communication

Effective Energy Efficiency of Ultrareliable Low-Latency Communication

Hybrid Automatic Repeat Request (HARQ) in Wireless Communications Systems and Standards: A Contemporary Survey

Power Allocation for Reliable and Energy-Efficient Optical LEO-to-Ground Downlinks with Hybrid ARQ Schemes

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