Invention Grant
US07903691B2 Method of generating pilot pattern for adaptive channel estimation in OFDMA systems, method of transmitting/receiving using the pilot pattern and apparatus thereof
有权
在OFDMA系统中生成用于自适应信道估计的导频模式的方法,使用导频模式进行发送/接收的方法及其装置
- Patent Title: Method of generating pilot pattern for adaptive channel estimation in OFDMA systems, method of transmitting/receiving using the pilot pattern and apparatus thereof
- Patent Title (中): 在OFDMA系统中生成用于自适应信道估计的导频模式的方法,使用导频模式进行发送/接收的方法及其装置
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Application No.: US12298225Application Date: 2007-04-24
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Publication No.: US07903691B2Publication Date: 2011-03-08
- Inventor: Sung-Hyun Hwang , Chang-Joo Kim , Myung-Sun Song , Jung-Sun Um
- Applicant: Sung-Hyun Hwang , Chang-Joo Kim , Myung-Sun Song , Jung-Sun Um
- Applicant Address: KR Daejeon
- Assignee: Electronics and Telecommunications Research Institute
- Current Assignee: Electronics and Telecommunications Research Institute
- Current Assignee Address: KR Daejeon
- Agency: Ladas & Parry LLP
- Priority: KR10-2007-0040013 20070424
- International Application: PCT/KR2007/002004 WO 20070424
- International Announcement: WO2007/123364 WO 20071101
- Main IPC: H04B3/10
- IPC: H04B3/10

Abstract:
Provided is a method of generating a pilot pattern capable of perform adaptive channel estimation, and a method and apparatus of a base station and a method and apparatus of a terminal using the pilot pattern. The pilot pattern selects pilot symbol positions based on distances from pilots of previous orthogonal frequency division multiple access (OFDMA) symbols to a subcarrier position of a current OFDMA symbol in the frequency domain and the time domain, so that a low pilot density is maintained so as to effectively transmit data, and stable channel estimation performance can be obtained even in a bad channel environment. In addition, the minimum burst allocation size is determined according to the channel environment between the base station and the terminal, guaranteeing channel estimation performance suitable for the channel environment, and improving granularity, channel estimation latency, and channel estimation memory size.
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