Iterative Resource Allocation Schemes for Multiuser Space Frequency Block Coded OFDMA System with CoMP Transmission

碩士 === 國立中央大學 === 通訊工程學系 === 101 === Coordination among multiple enhanced base stations referred to as coordinated multi-point (CoMP) transmission/reception is addressed to enhance the capacity of user equipments that are located at the cell edge. The CoMP technique is to change the interference fro...

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Bibliographic Details
Main Authors: Wun-Han Huang, 黃文涵
Other Authors: Yung-Fang Chen
Format: Others
Language:en_US
Published: 2013
Online Access:http://ndltd.ncl.edu.tw/handle/59007974750116809252
Description
Summary:碩士 === 國立中央大學 === 通訊工程學系 === 101 === Coordination among multiple enhanced base stations referred to as coordinated multi-point (CoMP) transmission/reception is addressed to enhance the capacity of user equipments that are located at the cell edge. The CoMP technique is to change the interference from adjacent enhanced base stations into the coordinated signal so as to improve the received signal. In this thesis, a resource allocation problem to maximize the system throughput for multiuser space frequency block (SFBC) coded OFDMA systems with CoMP transmission is first studied. The beamforming technique is also used to mitigate inter-user interference. Based on the concept of combining the SFBC approach and the CoMP technique, the throughput of one resource block for one user equipment, which is coupled with a unique CoMP cooperative set, is formulated by utilizing the Shannon theorem in this thesis. Owing to multiuser diversity, a user equipment set is selected for using one resource block. Therefore, one main challenge is to assign one resource block to the user equipment set with the maximum system throughput. In this thesis, an iterative selection scheme is proposed to select the user equipment set with resorting to a derived function by using the Lagrangian technique. The procedure of the proposed iterative selection scheme is terminated until the system throughput is not increased, i.e., user equipments in the selected user equipment set are not changed any more. Simulation results show that the performance of the proposed iterative selection scheme is near that of the optimal solution while having a low computational complexity.