Ultra reliable communication via CC-HARQ in finite block-length

Dosti, Endrit; Shehab, Mohammad; Alves, Hirley

doi:10.1109/eucnc.2017.7980708

Cited by 19 publications

(26 citation statements)

References 17 publications

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“…There is no distinction between uplink and downlink, but notice that SIMO setups match much better uplink scenarios where the receiver is usually equipped with better hardware capabilities, e.g., data aggregators/gateways or base stations in cellular communications 2 . The system is composed of an ultra-reliable link under Rayleigh fading, being interfered by multiple transmitters operating in the neighborhood, thus, differently from the setups analyzed in [14], [17]- [20], [23], [25]. The main contributions of this work can be listed as follows:…”

Section: And/or If Power Consumptionmentioning

confidence: 99%

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Joint Power Control and Rate Allocation Enabling Ultra-Reliability and Energy Efficiency in SIMO Wireless Networks

López

Alves

2019

IEEE Trans. Commun.

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Coming cellular systems are envisioned to open up to new services with stringent reliability and energy efficiency requirements. In this paper we focus on the joint power control and rate allocation problem in Single-Input Multiple-Output (SIMO) wireless systems with Rayleigh fading and stringent reliability constraints. We propose an allocation scheme that maximizes the energy efficiency of the system while making use only of average statistics of the signal and interference, and the number of antennas M that are available at the receiver side. We show the superiority of the Maximum Ratio Combining (MRC) scheme over Selection Combining (SC) in terms of energy efficiency, and prove that the gap between the optimum allocated resources converges to (M !) 1/(2M ) as the reliability constraint becomes more stringent. Meanwhile, in most cases MRC was also shown to be more energy efficient than Switch and Stay Combining (SSC) scheme, although this does not hold only when operating with extremely large M , extremely high/small average signal/interference power and/or highly power consuming receiving circuitry. Numerical results show the feasibility of the ultra-reliable operation when M increases, while greater the fixed power consumption and/or drain efficiency of the transmit amplifier is, the greater the optimum transmit power and rate.

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Section: And/or If Power Consumptionmentioning

confidence: 99%

“…Substituting (28) into (23) we attain (21), while (20) comes from evaluating f υ (x) = d dx F υ (x). Fig.…”

Section: B Maximal Radio Combining -Mrcmentioning

confidence: 99%

Joint Power Control and Rate Allocation Enabling Ultra-Reliability and Energy Efficiency in SIMO Wireless Networks

López

Alves

2019

IEEE Trans. Commun.

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“…Modern communication systems are becoming an indispensable part of our lives. Driven by the demands of users for extra services, the fifth generation of mobile communication (5G) is expected to introduce new features such as Ultra Reliable Low Latency Communications (URLLC) and massive Machine Type Communication (m-MTC) [1][2][3][4][5][6]. These features may serve many yet unforeseen applications to enable the Internet of Things (IoT).…”

Section: Introductionmentioning

confidence: 99%

Statistical QoS provisioning for MTC networks under finite blocklength

Shehab

Dosti

Alves

2018

J Wireless Com Network

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This paper analyzes the effective capacity of delay constrained machine type communication (MTC) networks operating in the finite blocklength regime. First, we derive a closed-form mathematical approximation for the effective capacity in quasi-static Rayleigh fading channels. We characterize the optimum error probability to maximize the concave effective capacity function with reliability constraint and study the effect of signal-to-interference-plus-noise ratio (SINR) variations for different delay constraints. The trade off between reliability and effective capacity maximization reveals that we can achieve higher reliability with limited sacrifice in effective capacity specially when the number of machines is small. Our analysis reveals that SINR variations have less impact on effective capacity for strict delay constrained networks. We present an exemplary scenario for massive MTC access to analyze the interference effect proposing three methods to restore the effective capacity for a certain node which are power control, graceful degradation of delay constraint and joint compensation. Joint compensation combines both power control and graceful degradation of delay constraint, where we perform maximization of an objective function whose parameters are determined according to delay and SINR priorities. Our results show that networks with stringent delay constraints favor power controlled compensation and compensation is generally performed at higher costs for shorter packets.

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“…They propose a solution for power allocation and communication strategy that minimizes the overall power consumption of the system and their results show that the solution can reduce the overall energy consumption. Moreover, Dosti et al [9] and [10] allocate power in order to improve energy efficiency considering truncated simple ARQ and CC-HARQ in a Rayleigh block-fading channel. Furthermore, URLLC and the impact of finite block-length (FBL) in channel capacity are considered, while they present a formal description of the optimization problem and solve it in closed-form using the Karush-Kuhn-Tucker (KKT) conditions; they also show that power allocation in HARQ is a good strategy to improve the system energy efficiency.…”

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confidence: 99%

“…Unlike [9], [10], [13], [14], in this work we guarantee a maximum latency with a target reliability. The work in [15], by its turn, considers energy consumption using HARQ but only accounts for average delays, which is not suitable for cMTC applications, and in [17] we explored simple HARQ.…”

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confidence: 99%

Performance Analysis of Hybrid ARQ for Ultra-Reliable Low Latency Communications

Nadas¹,

Onireti²,

Souza³

et al. 2019

IEEE Sensors J.

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Considering an ultra-reliable low latency communication scenario, we assess the trade-off in terms of energy consumption between achieving time diversity through retransmissions and having to communicate at a higher rate due to latency constraints. Our analysis considers Nakagami-m blockfading channels with Chase combining hybrid automatic repeat request. We derive a fixed-point equation to determine the best number of allowed transmission attempts considering the maximum possible energy spent, which yields insights into the system behavior. Furthermore, we compare the energy consumption of the proposed approach against direct transmission with frequency diversity. Results show substantial energy savings using retransmissions when selecting the maximum number of transmission attempts according to our approach. For instance, considering a Rayleigh channel and smart grid teleprotection applications, our approach uses around 8 times less energy per bit compared with a direct transmission with frequency diversity.

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Ultra reliable communication via CC-HARQ in finite block-length

Cited by 19 publications

References 17 publications

Joint Power Control and Rate Allocation Enabling Ultra-Reliability and Energy Efficiency in SIMO Wireless Networks

Joint Power Control and Rate Allocation Enabling Ultra-Reliability and Energy Efficiency in SIMO Wireless Networks

Statistical QoS provisioning for MTC networks under finite blocklength

Performance Analysis of Hybrid ARQ for Ultra-Reliable Low Latency Communications

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