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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Panyu Fu Zhaoyang Zhang Huazi Zhang Kun Tu |
| Copyright Year | 2015 |
| Description | Author affiliation: Dept. of Inf. Sci. & Electron. Eng., Zhejiang Univ., Hangzhou, China (Panyu Fu; Zhaoyang Zhang; Huazi Zhang; Kun Tu) |
| Abstract | A joint modulation and coding scheme is proposed based on Rateless Codes and Vector OFDM systems to combat fading over doubly selective channels. A rateless encoder can generate potentially unlimited coded symbol. Vector OFDM is a general transmission scheme, where OFDM and Single-Carrier systems can be seen as two extreme cases. The main focus of this paper is to design and analyze a Rateless Coded Vector OFDM scheme to obtain extra gain and improve the system performance. Firstly, we derive the lower bound of the decoding complexity of the block universal Raptor Codes and the upper bound of the probability to decode successfully in Binary Erasure Channels. Secondly, we analyze the joint scheme of Rateless Coded Vector OFDM with a novel proposition proposed, which reveals the impacts of the degree distribution on the system performance. According to the proposition, two practical Rateless Coded Vector OFDM methods are presented, which can achieve considerable joint Multipath-and-Doppler diversity gain and coded modulation gain to improve the reliability of the system. Finally, simulation results are demonstrated to validate the proposed scheme. |
| Starting Page | 1 |
| Ending Page | 5 |
| File Size | 255310 |
| Page Count | 5 |
| File Format | |
| e-ISBN | 9781479980918 |
| DOI | 10.1109/VTCFall.2015.7391108 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2015-09-06 |
| Publisher Place | USA |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Encoding OFDM Fading channels Decoding Modulation Complexity theory Diversity methods |
| Content Type | Text |
| Resource Type | Article |
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