On the effective energy efficiency of ultra-reliable networks in the finite blocklength regime

Shehab, Mohammad; Dosti, Endrit; Alves, Hirley

doi:10.1109/iswcs.2017.8108124

Cited by 10 publications

(17 citation statements)

References 17 publications

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“…The energy efficiency is defined as the ratio between the throughput and the power consumption and it tells us the number of bits that can be transmitted per Hertz while consuming a joule unit. Considering a linear power consumption model as in [22], [36], we can write the energy efficiency of the system as…”

Section: B Energy Efficiencymentioning

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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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: B Energy Efficiencymentioning

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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“…where D is the queueing delay, d is the delay threshold, θ is the delay QoS constraint, apθq is the effective bandwidth and ζ is the probability of non-empty buffer. It is noted that larger value of θ means that stringent QoS constraint is imposed, while for lose QoS requirement the value θ is small [12].…”

Section: B Throughput Of Delay Constrained Networkmentioning

confidence: 99%

“…" θλ´pα`βq`apθλ´pα`βqq 2`4 αθλ ı , (12) where α shows the transition rate from OFF state to ON state and β is the transition rate from ON state to OFF state. Then, we attain the steady state probability of being ON as…”

Section: B Markov Fluid Sourcesmentioning

confidence: 99%

Optimum Transmission Rate in Fading Channels with Markovian Sources and QoS Constraints

Qasmi

Shehab

Alves

2018

2018 15th International Symposium on Wireless Communication Systems (ISWCS)

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This paper evaluates the performance of reliability and latency in machine type communication networks, which composed of single transmitter and receiver in the presence of Rayleigh fading channel. The source's traffic arrivals are modeled as Markovian processes namely Discrete-Time Markov process, Fluid Markov process, and Markov Modulated Poisson process, and delay/buffer overflow constraints are imposed. Our approach is based on the reliability and latency outage probability, where transmitter not knowing the channel condition, therefore the transmitter would be transmitting information over the fixed rate. The fixed rate transmission is modeled as a two state Discrete time Markov process, which identifies the reliability level of wireless transmission. Using effective bandwidth and effective capacity theories, we evaluate the trade-off between reliability-latency and identify QoS requirement. The impact of different source traffic originated from MTC devices under QoS constraints on the effective transmission rate are investigated.

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“…Proof: See Appendix A. Theorem 1 first proves that for the fading SU-SU channel, the achievable average rateR is a monotonically increasing function for sufficiently large power values. In order to obtain a more general conclusion, we further take an AWGN channel as an example, which indicates that under some reasonable assumptions on m and ǫ [2], [18], the instantaneous rate r i can be proved to be monotonically increasing with the transmit SNR ρ 0 , as long as ρ 0 is not extremely low [19]. In this context, we can note that for non-extremely low SNR values, the optimal power control policy which solves the maximization problem (9a)-(9b) is simply transmitting at the maximum instantaneous power limit, i.e., P gs,ĝp = P peak g p − σ 2 e ln P out .…”

Section: Throughput With Finite Blocklength Codesmentioning

confidence: 99%

“…. By applying (19), A 1 can be expressed in closed-form and the closed-form approximation for E √ V can then be obtained by inserting A 1 back into (18).…”

Section: Appendix B: Proof Of Theoremmentioning

confidence: 99%

Opportunistic Spectrum Access in Support of Ultra-Reliable and Low Latency Communications

Quddus

Vahid

et al. 2018

2018 IEEE Globecom Workshops (GC Wkshps)

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This paper addresses the problem of opportunistic spectrum access in support of mission-critical ultra-reliable and low latency communications (URLLC). Considering the ability of supporting short packet transmissions in URLLC scenarios, a new capacity metric in finite blocklength regime is introduced as the traditional performance metrics such as ergodic capacity and outage capacity are no longer applicable. We focus on an opportunistic spectrum access system in which the secondary user (SU) opportunistically occupies the frequency resources of the primary user (PU) and transmits reliable short packets to its destination. An achievable rate maximization problem is then formulated for the SU in supporting URLLC services, subject to a probabilistic received-power constraint at the PU receiver and imperfect channel knowledge of the SU-PU link. To tackle this problem, an optimal power allocation policy is proposed. Closedform expressions are then derived for the maximum achievable rate in finite blocklength regime, the approximate transmission rate at high signal-to-noise ratios (SNRs) and the optimal average power. Numerical results validate the accuracy of the proposed closed-form expressions and further reveal the impact of channel estimation error, block error probability, finite blocklength and received-power constraint.Index Terms-URLLC, spectrum sharing, finite blocklength, achievable coding rate, imperfect channel information.

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On the effective energy efficiency of ultra-reliable networks in the finite blocklength regime

Cited by 10 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

Optimum Transmission Rate in Fading Channels with Markovian Sources and QoS Constraints

Opportunistic Spectrum Access in Support of Ultra-Reliable and Low Latency Communications

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