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Weighted tradeoff between effective capacity and energy efficiency

Yu, Wenjuan and Musavian, Leila and Ni, Qiang (2015) Weighted tradeoff between effective capacity and energy efficiency. In: 2015 IEEE International Conference on Signal Processing for Communications (ICC), 2015-06-08 - 2015-06-12.

2015ICC_Weighted_sum_2_.pdf - Accepted Version

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This paper proposes a new power allocation technique to jointly optimize link-layer energy efficiency (EE) and effective capacity (EC) of a Rayleigh flat-fading channel with delay-outage probability constraints. Specifically, EE is formulated as the ratio of EC to the sum of transmission power and rate-independent circuit power consumption. A multi-objective optimization problem (MOP) to jointly maximize EE and EC is then formulated. By introducing importance weight into the MOP, we can flexibly change the priority level of EE and EC, and convert the MOP into a single-objective optimization problem (SOP) which can be solved using fractional programming. At first, for a given importance weight and a target delay-outage probability, the optimum average transmission power level to maximize the SOP is found. Then, the optimal power allocation strategy is derived based on the obtained average input power level. Simulation results confirm the analytical derivations and further show the effects of circuit power, importance weight, and transmission power constraint limit on the achievable tradeoff performance.

Item Type: Conference or Workshop Item (Paper)
Additional Information: Published proceedings: IEEE International Conference on Communications
Uncontrolled Keywords: Multi-objective optimization problem; Quality-of-service; Delay-outage probability constraint; Effective capacity; Energy efficiency; Fractional programming
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: 14 Feb 2017 14:08
Last Modified: 23 Sep 2022 18:43

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