Home > Research > Publications & Outputs > Tradeoff analysis and joint optimization of lin...

Electronic data

  • Paper-TW-Apr-15-0538-Final

    Rights statement: ©2016 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.

    Accepted author manuscript, 529 KB, PDF document

    Available under license: CC BY: Creative Commons Attribution 4.0 International License

Links

Text available via DOI:

View graph of relations

Tradeoff analysis and joint optimization of link-layer energy efficiency and effective capacity toward green communications

Research output: Contribution to journalJournal article

Published
<mark>Journal publication date</mark>05/2016
<mark>Journal</mark>IEEE Transactions on Wireless Communications
Issue number5
Volume15
Number of pages15
Pages (from-to)3339-3353
Publication StatusPublished
Early online date21/01/16
<mark>Original language</mark>English

Abstract

A joint optimization problem of link-layer energy efficiency (EE) and effective capacity (EC) in a Nakagami- m fading channel under a delay-outage probability constraint and an average transmit power constraint is considered and investigated in this paper. Firstly, a normalized multi-objective optimization problem (MOP) is formulated and transformed into a single-objective optimization problem (SOP), by applying the weighted sum method. The formulated SOP is then proved to be continuously differentiable and strictly quasiconvex in the optimum average input power, which turns out to be a cup shape curve. Further, the weighted quasiconvex tradeoff problem is solved by first using Charnes-Cooper transformation and then applying Karush-Kuhn-Tucker (KKT) conditions. The proposed optimal power allocation, which includes the optimal strategy for the link-layer EE-maximization problem and the ECmaximization problem as extreme cases, is proved to be sufficient for the Pareto optimal set of the original EE-EC MOP. Moreover, we prove that the optimum average power level monotonically decreases with the importance weight, but strictly increases with the normalization factor, the circuit power and the power amplifier efficiency. Simulation results confirm the analytical derivations and further show the effects of fading severeness and transmission power limit on the tradeoff performance.

Bibliographic note

©2016 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.