Energy-efficient power allocation over Nakagami-m fading channels under delay-outage constraints

Musavian, Leila and Le-Ngoc, Tho (2014) Energy-efficient power allocation over Nakagami-m fading channels under delay-outage constraints. IEEE Transactions on Wireless Communications, 13 (8). pp. 4081-4091. ISSN 1536-1276

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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 P-max. 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 (P-t) and circuit power (P-c). 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 (P) over bar (un), at which the maximum EE can be achieved, and 2) distributing the power optimally based on the minimum of P-max and (P) over bar (un). We prove that while (P) over bar (un) monotonically increases with P-c, the maximum achievable EE is a monotonically decreasing function of P-c. 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.

Item Type:
Journal Article
Journal or Publication Title:
IEEE Transactions on Wireless Communications
Uncontrolled Keywords:
/dk/atira/pure/subjectarea/asjc/2600/2604
Subjects:
?? energy efficiencydelay-outage probability constrainteffective capacityfractional programmingnakagami fadingcapacityservicequalityregimeapplied mathematicscomputer science applicationselectrical and electronic engineering ??
ID Code:
72504
Deposited By:
Deposited On:
22 Jan 2015 10:14
Refereed?:
Yes
Published?:
Published
Last Modified:
15 Jul 2024 14:59