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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Abstract

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:
Journal Article
Journal or Publication Title:
IEEE Transactions on Wireless Communications
Uncontrolled Keywords:
/dk/atira/pure/subjectarea/asjc/2600/2604
Subjects:
?? applied mathematicscomputer science applicationselectrical and electronic engineering ??
ID Code:
75363
Deposited By:
Deposited On:
09 Sep 2015 06:32
Refereed?:
Yes
Published?:
Published
Last Modified:
15 Jul 2024 15:23