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Self-Adaptive Power Control Mechanism in D2D Enabled Hybrid Cellular Network with mmWave Small Cells:An Optimization Approach

机译:具有毫米波小蜂窝的启用D2D的混合蜂窝网络中的自适应功率控制机制:一种优化方法

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摘要

Millimeter wave (mmWave) and Device-to-Device (D2D) communications have been considered as the key enablers of the next generation networks. We consider a D2D-enabled hybrid cellular network compromising of μW macro-cells coexisting with mmWave small cells. We investigate the dynamic resource sharing in downlink transmission to maximize the energy efficiency (EE) of the priority, or cellular users (CUs), that are opportunistically served by either macrocells or mmWave small cells, while satisfying a minimum quality-of-service (QoS) level for the D2D pairs. In order to solve this problem, we first formulate a self-adaptive power control mechanism for the D2D pairs subject to the interference threshold constraint set for the CUs, while maintaining its minimum QoS level. Subsequently, the original EE optimization problem, which aimed at maximizing the EE for both CUs and D2D pairs, has been broken up into two subproblems that manage the radio resource allocation for D2D pairs and maximize EE exclusively for CUs, in that order. We then propose an iterative algorithm to provide a near- optimal EE solution for CUs.
机译:毫米波(mmWave)和设备到设备(D2D)通信已被认为是下一代网络的关键推动力。我们考虑了具有D2D功能的混合蜂窝网络,该网络损害了与mmWave小蜂窝小区共存的μW宏蜂窝小区。我们调查下行链路传输中的动态资源共享,以最大程度地提高优先级或蜂窝用户(CU)的能效(EE),这些能量由机会由宏小区或mmWave小型小区提供服务,同时满足最低服务质量( D2D对的QoS)级别。为了解决此问题,我们首先针对D2D对制定一种自适应功率控制机制,该机制要遵守CU的干扰阈值约束集,同时保持其最低QoS级别。随后,旨在将CU和D2D对的EE最大化的原始EE优化问题已分解为两个子问题,该子问题管理D2D对的无线电资源分配,并按该顺序专门为CU最大化EE。然后,我们提出一种迭代算法,为CU提供接近最佳的EE解决方案。

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