Device to device communication is the predominantly renowned trait for the 5G network and IoT applications. In the work, proposed novel joint low power/energy efficient resource allocation with mode selection for the D2D communication underlay in-band with transmit power, interference, data rate constraints are investigated with formulation of a novel problem which integrates the three major modules (resource management, mode selection, and power management) of D2D communication into one. To achieve the low power/energy efficient resource allocation with mode selection, we formulate novel optimization problem with objective of maximizing the energy efficiency using the subtractive form method to solve fractional objective function and form an iterative algorithm. The formulated fractional optimization problem is transformed into min–max problem and solved by the Lagrange dual function with low transmit power, interference, data rate constraints as a lagrange multipliers via an iterative process to achieve the optimal low power. Numerical analysis exemplifies and validates the optimal low power and the energy efficient characteristics of the novel proposed algorithm with all constraints to ensure the quality of the communication for the D2D communication, 5G, and IoT applications with the industrial need of low power/energy efficient devices to promote the conservation of energy and green communication.

设备到设备通信是5G网络和IoT应用的主要知名特征。在工作中，通过集成了三个主要模块（资源）的新颖问题，研究了提出的新型D2D通信联合低功耗/高能效资源分配和模式选择，用于带内发射功率，干扰，数据速率约束管理，模式选择和电源管理）。为了通过模式选择实现低功耗/高能效的资源分配，我们提出了一种新颖的优化问题，其目标是使用减法形式方法求解分数目标函数并形成迭代算法，以实现能源效率最大化。公式化的分数优化问题被转化为最小-最大问题，并通过拉格朗日对偶函数以低发射功率，干扰，数据速率约束作为拉格朗日乘数，通过迭代过程进行求解，以实现最佳的低功率。数值分析例证并验证了所提出的新算法的最佳低功耗和节能特性，并具有所有约束条件，可确保D2D通信，5G和IoT应用的通信质量满足低功耗/节能设备的工业需求促进节能和绿色通信。