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Study on Smart Antenna Technology (AAS) in IEEE802.16e OFDMA System
Author: LaiPing
Tutor: ZhangChaoYang
School: Zhejiang University
Course: Information and Communication Engineering
Keywords: Broadband Wireless Access OFDMA Advanced Antenna System (AAS) Smart Antenna Beam conversion system Adaptive antenna system Space Division Multiple Access (SDMA) Dispatch
CLC: TN821.91
Type: Master's thesis
Year: 2006
Downloads: 314
Quote: 3
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Abstract
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WiMAX IEEE 802.16e is only a series of standards to support mobility and non-line of sight transmission of broadband systems to meet future high data rate wireless communication and mobility requirements; smart antenna technology can improve the communication quality and increase the system capacity and expansion cell coverage, it is considered the future of mobile communications is an important part. Specified in the IEEE 802.16e for advanced antenna systems (AAS) that supports smart antenna system for this topic, this paper focuses on the 802.16e system of intelligent antenna technology to achieve program and completed the following main tasks: given a multi-user environment and multipath fading channel environment array antenna reception signal model, and from the perspective of system architecture, signal bandwidth adaptive algorithm angle and the angle of smart antenna technology are classified. This is the basis for the entire study will help us depending on the system environment select the appropriate method. The third chapter of the IEEE 802.16e protocol of understanding, including OFDMA uplink transmission basically algorithms and related provisions with AAS understanding. Completed the PUSC subcarrier allocation mode uplink multiuser communication basic link of the structures, while the system is analyzed for the channel environment, Rayleigh fading channels, and space-time vector channel modeling. This chapter analyzes the various conventional DoA estimation algorithm theory and application limits, according to the AAS preamble code correlation characteristics, this paper presents a system for OFDMA multipath propagation environment DoA estimation algorithm. This algorithm computation is small, can be estimated from the number of antenna array element number restriction, and can provide a better estimation accuracy. Then focuses on the beam in an OFDMA system to achieve conversion method. According to the simulation results, analyze the conventional beam conversion method performance bottlenecks, and then combined with the principle of multi-user detection, DoA is proposed based on accurate information and improved beam conversion system implementations. BER from the system perspective, this algorithm compared to conventional beam conversion system has been greatly improved, and when the user far apart, the spectral efficiency can be greatly improved, but the overall increase in capacity factor is less than one base station to set the beam number. Chapter IV final analysis, the improved beam conversion method, we propose a has the same effect, based on the array response matrix generalized inverse adaptive beam forming method. LCMV method also studied for comparison. The results show that the use of a similar interference plus noise correlation matrix, LCMV beamforming performance of the method as an improved beam conversion system. Finally, also studied the OFDM / SDMA system MAC layer scheduling algorithm. In a simplified OFDM / SDMA system model and under the assumption that some of the physical layer, made of two heuristic scheduling algorithm. The first algorithm which considers only increase system capacity, the second algorithm further combines the idea of ??proportional fair considering the fairness among users. Common advantage of these two algorithms are sequentially service user may decide, low complexity. Although the author has been working on IEEE 802.16e OFDMA system, smart antenna technology related content, but this is only a preliminary work, there are a lot of follow-up content is worth studying. Include AMC subcarrier allocation mode SDMA implementation, AAS users to access the network to achieve more precise DoA estimation algorithm, other adaptive beamforming algorithm in an OFDMA system applied research as well as more in line with the actual situation OFDMAAAS System MAC layer scheduling algorithm.
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CLC: > Industrial Technology > Radio electronics, telecommunications technology > Radio equipment,telecommunications equipment > Antenna > Antenna: work principle > Smart antenna
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