Energy-Efficient Adaptive Power Allocation for Incremental MIMO Systems

Chaitanya, Tumula V. K.; Le‐Ngoc, Tho

doi:10.1109/tvt.2015.2417500

Cited by 20 publications

(26 citation statements)

References 28 publications

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“…They showed that HARQ may significantly outperform finite blocklength for a given set of latency, reliability and bit count values. Energy-efficient adaptive power allocation for three incremental multiple-input-multipleoutput (IMIMO) systems employing ARQ, CC-HARQ and IR-HARQ are considered in [19].…”

Section: A Related Workmentioning

confidence: 99%

Ultra reliable communication via optimum power allocation for type-I ARQ in finite block-length

Dosti

Wijewardhana

Alves

et al. 2017

2017 IEEE International Conference on Communications (ICC)

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In this work, we develop low complexity, optimal power allocation algorithms that would allow ultra reliable operation at any outage probability target with minimum power consumption in the finite blocklength regime by utilizing Karush-Kuhn-Tucker (KKT) conditions. In our setup, we assume that the transmitter does not know the channel state information (CSI). First, we show that achieving a very low packet outage probability by using an open loop setup requires extremely high power consumption.Thus, we resort to retransmission schemes as a solution, namely Automatic Repeat Request (ARQ), Chase Combining Hybrid ARQ (CC-HARQ) and Incremental Redundancy (IR) HARQ. Countrary to classical approaches, where it is optimal to allocate equal power with each transmission, we show that for operation in the ultra reliable regime (URR), the optimal strategy suggests transmission with incremental power in each round. Numerically, we evaluate the power gains of the proposed protocol. We show that the best power saving is given by IR-HARQ protocol. Further, we show that when compared to the one shot transmission, these protocols enable large average and maximum power gains. Finally, we show that the larger the number of transmissions is, the larger power gains will be attained.

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Section: A Related Workmentioning

confidence: 99%

Ultra reliable communication via optimum power allocation for type-I ARQ in finite block-length

Dosti

Wijewardhana

Alves

et al. 2017

2017 IEEE International Conference on Communications (ICC)

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“…Fig. 3 shows a comparison of CDFs of the exact SINR in (17) and the approximated SINR in (21) the Meijer's-G function [26]. Then, using the inverse Laplace transform, the PDF and CDF ofγ lk,m can be derived as…”

Section: B Harq-ccmentioning

confidence: 99%

“…In [16], the authors also studied the aspects of MIMO-ARQ with nonlinear power amplifier, large-scale MIMO, and adaptive power allocation. The adaptive power allocation to minimize the outage probability of incremental MIMO systems was studied under a constraint on average energy consumption per packet, employing Type-I HARQ, HARQ-CC, and HARQ-IR in [17]. The minimum number of the transmit/receive antennas required to satisfy outage probability constraints were studied for large-but-finite scale MIMO with/without ARQ feedback in [18].…”

Section: Introductionmentioning

confidence: 99%

Hybrid ARQ in Multicell MU-SIMO With Large-Scale Antenna Arrays

Kim

Chaitanya

Le‐Ngoc

2016

IEEE Trans. Wireless Commun.

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We consider Hybrid Automatic Repeat & reQuest (HARQ) schemes in the uplink of a multicell multiuser singleinput multiple-output system with large-scale antenna arrays at the base station (BS) for improving the spectral efficiency while limiting the number of retransmissions. Assuming a zeroforcing receiver at each BS and that each BS knows only the channel gains of users in its own cell, we derive the expressions for the outage probability and long-term average transmission rate (LATR) of the Type-I HARQ, HARQ with Chase-combining (HARQ-CC), HARQ with incremental redundancy (HARQ-IR). We then formulate the optimal rate-selection problems for the three schemes and provide methods to find a solution. Since the optimal-rate selection methods for the HARQ-CC and HARQ-IR schemes are computationally intensive, we propose sub-optimal rate-selection methods which yield a closer LATR performance to that of the optimal methods. For the Type-I HARQ and HARQ-IR, we also present a parameterization-based method showing the approximate relation between the expressions of the optimized-LATR, optimal rate, and number of antennas. Illustrative results show that HARQ-IR has significant gain over HARQ-CC and Type-I HARQ in terms of LATR, while Type-I HARQ yields practically similar performance to HARQ-CC as the number of antennas at the BS increase.Index Terms-hybrid automatic repeat & request (HARQ), large-scale antenna arrays, multiuser single-input multipleoutput (MU-SIMO), multicell.

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“…The contribution conducted in [10] evaluated power allocation for HARQ-IR in downlink scenario under the respect of Quality of Service (QoS). In addition EE was described in [11] through power adaptation in various Incremental Multiple Input Multiple Output (IMIMO) scenarios based on ARQ, HARQ-CC, and HARQ-IR where the purpose is to reduce the outage probability. In [12] it has been reported three optimization approaches namely energy per bit reduction, minimizing the normalization between energy per bit and SE, the trade-off between EE and SE.…”

Section: Introductionmentioning

confidence: 99%

Energy Expenditure Per Bit Minimization Into Mb-Ofdm Uwb Systems

Chihi¹,

Zaeem²,

Bouallègue³

2017

IJDIWC

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The growing demand of high data rates requires much energy consumption. For this, in this paper we examine energy efficiency (EE) through total energy expenditure per bit characterization when the joint coupling between Modulation and Coding Scheme (MCS) related to the physical layer and Selective Repeat (SR) truncated Hybrid Automatic Repeat reQuest (HARQ) type I protocol of data link layer is performed into Multiband Orthogonal Frequency Division Multiplexing (MB-OFDM) Ultra-Wideband (UWB) system. The optimization is based on total energy expenditure per bit diminishing constrained by MCS rate and Packet Error Rate (PER). We propose an algorithm to identify the optimal MCS rate basing on dichotomy policy. Thus, analytical analysis highlights a closed-form expression of the optimal MCS rate allowing energy per bit minimization. In addition, in measuring the energy consumption per useful information the hardware components of MB-OFDM UWB (MB-UWB) crosslayer structure are considered. Further, the analytical framework is validated through computer results which reveal the effectiveness of our method in terms of energy saving.

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Energy-Efficient Adaptive Power Allocation for Incremental MIMO Systems

Cited by 20 publications

References 28 publications

Ultra reliable communication via optimum power allocation for type-I ARQ in finite block-length

Ultra reliable communication via optimum power allocation for type-I ARQ in finite block-length

Hybrid ARQ in Multicell MU-SIMO With Large-Scale Antenna Arrays

Energy Expenditure Per Bit Minimization Into Mb-Ofdm Uwb Systems

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