Abstract
Green communication with energy harvesting techniques are being considered for 5th generation cellular networks to conserve energy and to prolong network life time. Moreover, Device to Device (D2D) communication on shared channels for 5G cellular networks is also a promising technology to achieve higher data rates, ultra-low latency communication and spectral efficiency. Presently, network optimization with an aim to maximize network throughput by meeting joint constraints of admitted user performance, maximization of admitted users, resource allocation, mode assignment as per available energy, power allocation along with different energy harvesting techniques have not been investigated in the literature due to it's infeasible nature. In this paper, we have formulated NP hard mix integer nonlinear programming (MINLP) optimization problem and then we have proposed a low complexity and efficient algorithm, Adaptive Resource Allocation and Energy Sentient Network (ARA-ESN) using Branch-Bound and Mesh Adaptive Direct Search (MADs) methods with energy harvesting through ambient energy and Radio Frequency (RF) energy transfer techniques. We have applied outer approximation approach (OAA) based linearization technique, which guarantees convergence to the optimal solution. The results show that ARA-ESN MADS outperforms ARA-ESN Branch-Bound method interms of performance and complexity. Moreover, ambient harvesting increases performance of network due to better acquisition of energy as compared to RF energy transfer.
Published Version
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