Open AccessAdaptive mesh size (AMS) algorithm for energy efficiency maximisation in underlay D2D communication
Author(s) -
Saad Waleed,
Refky Hajar,
Shokair Mona
Publication year - 2020
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.2019.1014
Subject(s) - stochastic geometry , computer science , underlay , convexity , mathematical optimization , poisson point process , transmission (telecommunications) , cellular network , wireless , poisson distribution , algorithm , wireless network , power (physics) , mathematics , computer network , signal to noise ratio (imaging) , telecommunications , statistics , physics , quantum mechanics , financial economics , economics
The need to maximise energy efficiency (EE) for device‐to‐device (D2D) communication has become an urgent necessity for the fifth‐generation wireless networks. In this study, the power allocation problem is considered for the cellular system underlaid with D2D users (DUs) to maximise the EE for the whole network. Firstly, the random distribution of DUs and cellular users (CUs) are described by utilising the homogeneous Poisson point process based on stochastic geometry. Secondly, successful transmission probabilities are deduced. Finally, the optimisation problem for maximising EE is formulated to determine the optimal power values for both D2D and CUs. An adaptive mesh size algorithm is suggested to solve the non‐convexity of the EE optimisation problem. Simulation results prove that the suggested technique has the ability to accomplish the near‐optimal EE. Furthermore, it has superior performance when compared with the related algorithms.