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Effective Capacity Maximization With Statistical Delay and Effective Energy Efficiency Requirements

Musavian, Leila and Ni, Qiang (2015) 'Effective Capacity Maximization With Statistical Delay and Effective Energy Efficiency Requirements.' IEEE Transactions on Wireless Communications, 14 (7). pp. 3824-3835. ISSN 1536-1276

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This paper presents the three-fold energy, rate and delay tradeoff in mobile multimedia fading channels. In particular, we propose a rate-efficient power allocation strategy for delay-outage limited applications with constraints on energy-per-bit consumption of the system. For this purpose, at a target delay-outage probability, the link-layer energy efficiency, referred to as effective-EE, is measured by the ratio of effective capacity (EC) and the total expenditure power, including the transmission power and the circuit power. At first, the maximum effective-EE of the channel at a target delay-outage probability is found. Then, the optimal power allocation strategy is obtained to maximize EC subject to an effective-EE constraint with the limit set at a certain ratio of the maximum achievable effective-EE of the channel. We then investigate the effect of the circuit power level on the maximum EC. Further, to set a guideline on how to choose the effective-EE limit, we obtain the transmit power level at which the rate of increasing EC (as a function of transmit power) matches a scaled rate of losing effective-EE. Analytical results show that a considerable EC-gain can be achieved with a small sacrifice in effective-EE from its maximum value. This gain increases considerably as the delay constraint becomes tight.

Item Type: Article
Uncontrolled Keywords: Delay-outage probability constraint; energy-rate-delay tradeoff; effective capacity; effective energy efficiency; Nakagami fading
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Divisions: Faculty of Science and Health
Faculty of Science and Health > Computer Science and Electronic Engineering, School of
SWORD Depositor: Elements
Depositing User: Elements
Date Deposited: 02 Feb 2017 15:13
Last Modified: 23 Sep 2022 18:43

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