Open AccessAlgorithm for energy‐efficiency optimisation in secure MIMO systems
Author(s) -
Liu Jian,
Hu Bing,
Fang Lulu
Publication year - 2016
Publication title -
iet communications
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.355
H-Index - 62
eISSN - 1751-8636
pISSN - 1751-8628
DOI - 10.1049/iet-com.2016.0073
Subject(s) - mathematical optimization , mimo , computer science , bounding overwatch , convergence (economics) , energy consumption , constraint (computer aided design) , channel (broadcasting) , karush–kuhn–tucker conditions , mathematics , computer network , ecology , geometry , artificial intelligence , economics , biology , economic growth
In this study, the authors study energy‐efficiency (EE) optimisation of three‐node multiple‐input–multiple‐output wiretap channels. In particular, they aim to maximise EE by optimising the transmit covariance under the constraint of transmit power consumption. Such optimisation problems are non‐convex and difficult to solve. Here, they propose a novel optimisation algorithm, which is very different from previous approaches, with guaranteed convergence to the Karush–Kuhn–Tucker point. In particular, through a channel improvement argument and an intelligent bounding technique, they first obtain a min–max reformulation of their original problem. Then, based on the idea of alternative optimisation, they derive two sub‐problems from it. To solve these two problems, they used the efficient barrier Newton and the gradient projection methods. The outcome from this last step is a semi‐closed‐form solution for the two sub‐problems. The numerical results obtained from the proposed algorithm represent better performances than the existing methods.