Energy efficient millimetre-wave fronthaul and OFDMA resource optimisation in C-RANs

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It simulated the proposed algorithm and showed that the proposed algorithm can achieve great EE performance gain over the benchmark schemes.

Authors Zewei Jing, Meng Qin, Qinghai Yang , Kyung-Sup Kwak, Ramesh R. Rao
Journal/Conference Name IET Communications
Paper Category
Paper Abstract Recently, millimetre-wave (mmWave) wireless fronthauls have been regarded as an effective solution to deploy remote radio heads with higher flexibility and efficiency in cloud radio access networks (C-RANs). Different from the traditional fibre fronthauls, in order to maximise the utilisation of the time-frequency resource, the mmWave wireless fronthauls are more expected to operate in a dynamic allocation manner. In this study, the energy efficient mmWave fronthaul and OFDMA resource optimisation in C-RANs is investigated. The TDMA-based fronthaul allocation mechanism is first presented and then the joint resource optimisation is formulated as an energy efficiency (EE) maximisation problem which is in the form of a mixed-integer non-linear fractional programming (MINLFP) problem. By taking advantage of the Dinkelbach method, the MINLFP problem is transformed into a subtractive optimisation problem and solved by using the Lagrange dual decomposition theory. Moreover, a maximal weighted bipartite graph matching approach is proposed to determine the optimal resource block allocation. Finally, extensive simulation results are provided to evaluate the EE performance of the proposed algorithm by comparing with several benchmark schemes, and it shows that the proposed algorithm can achieve great EE performance gain over the benchmark schemes.
Date of publication 2018
Code Programming Language Matlab
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