Research On The Resource Optimization In The Mm Wave Wireless Communication System

With the rapid development of the wireless communication technologies,abundant of wireless applications have been implemented in our daily life.Meanwhile,the higher performances are in urgent demands,including the higher bandwidth,the lower latency,wider coverage and massive capacity and connections.The state-of-the-art system can not provide the requested performance,people are waiting for the next generation communication systems.In the next generation communication systems,one of the most promising technologies is the millimeter wave(mmWave)communication.Millimeter wave occupies luxuriant undeveloped spectrum resources,which could provide super wide bandwidth.However,due to the extreme high frequency,the mmWave attenuates quite fast in the free space.Hereby the Massive MIMO sys-tem engages to transmit the mmWave with directional narrow beam to concentrate the energy.The narrower the beam width,the higher energy efficiency,spectrum efficiency and system per-formance will be achieved.New technologies not only brings abundant resources,but also grand challenges in resource allocation problems.Then it is an urgent and primal problem that how to manage and utilize the limited resources to optim ize the network performance such as the real-time performance and throughput should be addressed.Based on the latest observation and results,this dissertation investigates the resource management and optimization problem under specific sce-narios and provides the corresponding solutions,which may help the design of the next generation wireless communication systems.The main contributions are summarized as follows:1.A brief review on the background,overview,main characteristics,applications and related works about resource management and optimization for mmWave wireless communications is provided.2.Research on the fast positioning and tracking problem in the mmWave wireless communi-cation system.mmWave wireless communications require the beam alignment of the trans-mitter and the receiver to build the narrow beam link.Then,in the mobile network scenario,the base station need the accurate positioning and tracking information of multiple users to do the communication timely.Nevertheless the state-of-the-art multiple target tracking al-gorithms can not provide efficient procedure to further increase the real-time performance.We thereby introduce an improved resampling algorithm to ensure the particles in the parti-cle PHD filter operating in a pipeline way without waiting for other particles' information.Based on the algorithm,we optimize the computational resource in the multi-core proces-sor platform to speed up the operating time delay by solving a mixed integer programming problem.The simulation results demonstrate the time efficiency of our algorithm with the competitive tracking performance.3.Research on the resource allocation in the massive MIMO mmWave cellular communication system.The target is to optimize the system performance by properly allocating the antenna resources.The antenna array on the base station is virtually divided into several sub-array,each sub-array communicate with on user.The problem lies in how to divided the sub-arrays to maximize the system throughput.Not only the number of antennas consisting each sub-array,but also the place they lie.Two scenarios are considered in this problem,including the one-direction scenario and the orthogonal direction scenario.Both two problems are NP-hard,so the approximation algorithms are proposed,together with the computational complexity and the lower bound.The simulation results demonstrate the algorithms can achieve good performance in both scenarios.4.Research on the system establishment and resource allocation in the mmWave wireless data center network(DCN).By introducing the 60GHz wireless link,the bandwidth,reconfig-urability and the scalability are strongly improved.Under the phenomenon of unbalanced data flow,the communication hot spots appear in the DCN.By setting the mmWave antenna arrays on each ToR,We build both one-tier and 3-tier wireless DCN topologies and give the generation methods of the nodes and the edges.We also optimize the antenna allocation problems for the antenna arrays on each ToRs,by transmitting the problem into a geometric programming problem.The simulation results demonstrate the efficiency of our system and the allocation algorithms.5.The conclusions are drawn with future work at the end of the dissertation.