Equivalent convex optimisation approach for green cognitive radio‐based cooperative networks
Mohadeseh Soleimanpour-Moghadam, Shima Esmaeili, Siamak Talebi · IET Communications · 2018
Ensuring total rate maximisation whilst keeping Greenhouse gas emission (GHGE) at a minimum in green cooperative cognitive radio networks is key to achieving maximum network quality. This study employs the multi‐objective lexicographic algorithm to a proposed multi‐objective optimisation problem scheme to deal with these conflicting objectives through two consecutive steps. The challenge posed by maximum throughput – a complex non‐convex optimisation problem – is first resolved through a mathematical manipulation resulting in a fractional programming model which is then converted to its simplified convex programming equivalent by applying the Charnes–Cooper transformation. Next, the GHGE minimisation issue is tackled effectively by applying a convex programming. Simulation results confirm that the proposed approach offers superior performance compared to well‐known schemes in terms of throughput gain and emission quality.