Optimized spectrum sharing of ultra-dense networks

本研究项目的重点是超密集网络的新优化技术。我们考虑密集部署的蜂窝接入点和/或设备到设备的链接，其中多个发送和接收对相互干扰，并提出了一种新的方法，频谱共享的基础上的优化技术称为分式规划。所提出的方法能够有效地找到整个网络中协调调度、波束成形和功率控制问题的局部最优解决方案。在数值上，分数规划解本质上是迭代的，但每个迭代步骤通常涉及一个封闭形式的解，因此易于实现。优化的协调传输是确保超密集网络中频谱兼容带宽共享的关键。作为一个具体的应用，所提出的研究将研究基于分数规划的协调调度方案的蜂窝网络具有灵活的双工能力，在上行链路和下行链路的同时传输可以显着提高区域频谱效率。本研究亦将分数规划技术应用于大规模多天线系统中的空间多工与调零的最佳化。所提出的方法也可以应用于蜂窝网络中的干扰消除中继链路的优化调度。最后，建议的研究将调查信令和信道状态采集策略，使分布式实施的分式编程技术。在即将到来的大数据时代，无线行业正在经历深刻的变革。在动态和实时地优化和适应网络操作中引入网络智能将是满足智能家居、智能办公室、智能城市和自动驾驶汽车等重要应用领域日益增长的需求的关键技术步骤。

This research project focuses on novel optimization technique for ultra-dense networks. We consider a dense deployment of cellular access-points and/or device-to-device links, where multiple transmit and receive pairs mutually interfere with each other, and propose a novel method for spectrum sharing based on an optimization technique called fractional programming. The proposed method is capable of efficiently finding locally optimal solutions to the coordinated scheduling, beamforming, and power control problem across the entire network. Numerically, the fractional programming solution is iterative in nature, but each iteration step typically involves a closed-form solution and is therefore easy to implement. Optimized coordinated transmission is the key to ensuring spectrally compatible bandwidth sharing in ultra-dense networks. As a concrete application, the proposed research will investigate fractional programming based coordinated scheduling scheme for cellular networks with flexible duplex capability, where simultaneous transmissions in uplink and downlink can significantly improve area spectral efficiency. The proposed research will also apply the fractional programming technique to the optimization of spatial multiplex and nulling in large-scale multiple-antenna systems. The proposed method can also be applied to the optimal scheduling of relay links for interference cancellation in cellular networks. Finally, the proposed research will investigate signaling and channel state acquisition strategies to allow distributed implementation of fractional programming techniques. The wireless industry is undergoing profound transformation in the upcoming Big Data era. The introduction of network intelligence in optimizing and adapting network operations dynamically and in real-time will be a key technological step in meeting the increasing demands in important application areas such as smart home, smart office, smart city, and self-driving cars.