| With the rapid development of mobile communications, the rapid increase in the number of users and the frequency resources become increasingly strained, the3rd Generation Partnership Project (3GPP) has advocated a new mobile communication system gradually developed from the long term evolution(LTE), which is called as the3G long-term evolution of advanced (3G LTE-A). It will provide higher data rate, lower latency, and better quality of service (QoS) guarantees. Therefore, the research of LTE-A is of great theoretical and practical significance.This thesis mainly focuses on several key technologies of the physical layer in uplink LTE-A. Firstly, the LTE-A UL system-level simulation platform is designed, which supports coordinated multi-point transmission and reception technology. Then, synthetically considering the uplink channel quality and the distribution of district resources for users with a number of adjacent cell base stations, an improved cell selection algorithm is proposed which is based on LTE-A uplink. Furthermore, two modified algorithms are proposed, one is an improved Round Robin scheduling algorithm of full bandwidth, the other is multi-cell user co-scheduling algorithm of partial bandwidth with a combined consideration of the user fairness and the channel correlation based on CoMP. Ultimately, in order to improve the user transmission rate near cell edges, this thesis researches different multi-point collaborative approaches in static cluster collaborative mode and cell-agency collaboration techniques in dynamic cluster collaborative mode, proposes multiple different ways of collaboration in the static cluster collaboration mode and dynamic cluster collaborative technology based on greed algorithm. Simulation analyses show that the above-mentioned three kinds of algorithms in this paper can be improve average user throughput and edge user performance in LTE-A system. |
