Musavian, Leila and Ni, Qiang (2014) Delay-QoS-driven spectrum and energy efficiency tradeoff. In: ICC 2014 - 2014 IEEE International Conference on Communications, 2014-06-10 - 2014-06-14.
Musavian, Leila and Ni, Qiang (2014) Delay-QoS-driven spectrum and energy efficiency tradeoff. In: ICC 2014 - 2014 IEEE International Conference on Communications, 2014-06-10 - 2014-06-14.
Musavian, Leila and Ni, Qiang (2014) Delay-QoS-driven spectrum and energy efficiency tradeoff. In: ICC 2014 - 2014 IEEE International Conference on Communications, 2014-06-10 - 2014-06-14.
Abstract
This paper presents a delay-QoS-driven spectrum and energy efficiency optimization transmission technique. In particular, considering the cross-layer effective capacity (EC) model in Rayleigh fading channels, a spectrum- and energy-efficient power allocation strategy is proposed when maximum spectrum efficiency is achieved under minimum energy efficiency (EE) requirement. For this purpose, at a target delay-outage probability, the spectrum efficiency is measured by the EC. Further, the EE is formulated as the ratio of the EC to the total expenditure power. At first, the maximum achievable EE of the link at the target delay-outage probability is found. Then, the optimal power allocation strategy is obtained to maximize the EC subject to a minimum EE constraint set at a certain ratio of the maximum achievable EE. We prove that the optimization problem is a concave maximization problem and develop the global optimal solution. The analytical results show that a considerable EC-gain can be achieved with a small sacrifice in EE. This gain increases considerably as the delay constraint becomes tight. © 2014 IEEE.
Item Type: | Conference or Workshop Item (Paper) |
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Additional Information: | Published proceedings: 2014 IEEE International Conference on Communications, ICC 2014 |
Uncontrolled Keywords: | Delay-outage probability; spectrum and energy efficiency; effective capacity |
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: | Unnamed user with email elements@essex.ac.uk |
Depositing User: | Unnamed user with email elements@essex.ac.uk |
Date Deposited: | 14 Feb 2017 14:01 |
Last Modified: | 05 Jun 2024 02:40 |
URI: | http://repository.essex.ac.uk/id/eprint/18946 |