DocumentCode :
76237
Title :
Energy-Efficient Power Allocation Over Nakagami- m Fading Channels Under Delay-Outage Constraints
Author :
Musavian, Leila ; Le-Ngoc, Tho
Author_Institution :
Sch. of Comput. & Commun., Lancaster Univ., Lancaster, UK
Volume :
13
Issue :
8
fYear :
2014
fDate :
Aug. 2014
Firstpage :
4081
Lastpage :
4091
Abstract :
This paper presents an energy-efficient power allocation strategy for Nakagami-m flat-fading channels with a delay-outage probability constraint. The operating input transmit power value is limited to Pmax. The energy efficiency (EE), expressed in units of b/J/Hz, is represented as the ratio of the effective capacity to the sum of transmission power (Pt) and circuit power (Pc). Since the EE-maximization objective function is quasi-concave, a unique global maximum exists. By using fractional programming, we develop an EE-optimal power allocation strategy that consists of two steps: 1) obtaining the power level P̅un, at which the maximum EE can be achieved, and 2) distributing the power optimally based on the minimum of Pmax and P̅un. We prove that while P̅un monotonically increases with Pc, the maximum achievable EE is a monotonically decreasing function of Pc. The analysis further allows us to derive the EE of three important cases: non-fading channels, extremely stringent delay-limited systems, and systems with no delay constraints. Simulation results confirm analytical derivations and further show the effects of the circuit power, fading duration, and fading severeness on the achievable EE and effective capacity of a delay-limited fading channel.
Keywords :
Nakagami channels; channel allocation; concave programming; constraint theory; delay estimation; delay systems; probability; EE maximization objective function; Nakagami-m flat fading channels; circuit power; delay limited fading channel system; delay outage probability constraint; fading duration; fading severeness; fractional programming; nonfading channel; optimal energy efficient power allocation; power level; quasi-concave programming; transmission power; unique global maximum; Capacity planning; Delays; Fading; Linear programming; Quality of service; Resource management; Wireless communication; Energy efficiency; Nakagami fading; delay-outage probabilityconstraint; effective capacity; fractional programming;
fLanguage :
English
Journal_Title :
Wireless Communications, IEEE Transactions on
Publisher :
ieee
ISSN :
1536-1276
Type :
jour
DOI :
10.1109/TWC.2014.2316808
Filename :
6787108
Link To Document :
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