Energy efficient power allocation approach to asymmetric analogue network coding with rate‐dependent circuit power. Issue 18 (4th October 2018)

• Record Type: Journal Article
• Authors: Zheng, Fangyuan; Li, Jing; Yu, Xiangbin; Ge, Jianhua
• Is Part Of: IET communications. Volume 12:Issue 18(2018)
• Page Start: 2324
• Page End: 2331
• Publication Date: 2018-10-04
• Subjects: relay networks (telecommunication) -- telecommunication power management -- energy conservation -- power consumption -- network coding -- resource allocation -- protocols -- nonlinear programming; energy efficient power allocation approach -- battery constrained systems -- EE optimisation problem -- asymmetric analogue network coding protocol -- two‐way relaying network -- generalised power consumption model -- fixed circuit power -- power allocation problem -- total transmit power budget -- two‐layer optimisation method -- transmission rate asymmetry -- energy‐efficient design -- transmission rate requirements -- general rate‐dependent dynamic circuit power -- asymmetric ANC protocol -- nonlinear fractional programming theorem -- EE maximisation problem -- closed‐form solution -- linear function -- system parameters; Telecommunication systems -- Periodicals; Speech processing systems -- Periodicals; 621.38205
• DOI: 10.1049/iet-com.2018.5274
• Languages: English
• ISSNs: 1751-8628

Abstract

Abstract : Energy efficiency (EE) plays an indispensable role in the battery constrained systems. In this study, the EE optimisation problem for asymmetric analogue network coding (ANC) protocol is analysed in a two‐way relaying network, where the two sources have different transmission rate requirements. A generalised power consumption model is applied consisting of not only the transmit power and fixed circuit power, but also the most general rate‐dependent dynamic circuit power, with which a power allocation problem is formulated to achieve the maximal EE constrained by the rate requirements as well as the total transmit power budget. By exploiting the two‐layer optimisation method and non‐linear fractional programming theorem, the original EE maximisation problem is solved in an efficient way. Specially, when the rate‐dependent circuit power is modelled as the linear function of transmission rate, a closed‐form solution is obtained. Through simulations, the proposed power allocation algorithm is verified and the impacts of some system parameters such as relay location, transmit power and transmission rate asymmetry are also provided to gain useful insights, which facilitates the energy‐efficient design for the practical asymmetric ANC protocol.