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A Fast Scheme for Blind Identification of Channel  Codes
Linköping University, Department of Electrical Engineering, Communication Systems. Linköping University, The Institute of Technology.
Linköping University, Department of Electrical Engineering, Communication Systems. Linköping University, The Institute of Technology.
2011 (English)Conference paper (Refereed)
Abstract [en]

We present a fast mechanism for determining which channel code that was used on a communication link. In the proposed scheme, the receiver does not need to receive the entire data to determine the actual code. Moreover, the proposed scheme can also be used to determine the interleaving/scrambling sequence that was used at the transmitter. We investigate the performance of the scheme for some standard convolutional codes.

Place, publisher, year, edition, pages
IEEE , 2011. 1-5 p.
National Category
Engineering and Technology
URN: urn:nbn:se:liu:diva-68072DOI: 10.1109/GLOCOM.2011.6133507ISBN: 978-1-4244-9267-1 (online)ISBN: 978-1-4244-9266-4 (print)OAI: diva2:416026
54th Annual IEEE Global Telecommunications Conference: "Energizing Global Communications", GLOBECOM 2011; Houston, TX; United States

©2011 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE. Reza Moosavi and Erik G. Larsson, A Fast Scheme for Blind Identification of Channel Codes, 2011, accepted The 54th IEEE Global Communications Conference (GLOBECOM).

Available from: 2011-05-10 Created: 2011-05-10 Last updated: 2014-10-14
In thesis
1. Aspects of Control Signaling in Wireless Multiple Access Systems
Open this publication in new window or tab >>Aspects of Control Signaling in Wireless Multiple Access Systems
2011 (English)Licentiate thesis, comprehensive summary (Other academic)
Abstract [en]

From its first appearance, wireless communications has changed thelife for many people worldwide. Currently, more than half of the world's population are using wireless devices for various purposes on a daily basis. While the early wireless systems could provide simple and specific low-rate services, today's systems can support a variety of more advanced services some of which require high data rate communications. This includes for example web-browsing and streaming multimedia applications. To meet the high demands on the current systems, many technical solutions have been proposed. Many of these solutions are powerful in the sense of boosting the system performance, but on the other hand, they impose a substantial control signaling overhead on the system. The control signaling refers to sending the control information that is necessary to establish and/or maintain the connection as opposed to the payload data that is transmitted during the connection.

In this thesis, we are interested in evaluating the relations between the gain of deploying new techniques and the amount of control signaling overhead they incur. Moreover we are interested in finding efficient algorithms that can potentially reduce the control signaling overhead. More specifically, we first focus on the part of the control signaling overhead that concerns sending the scheduling assignments that describe how the channel resources are allocated among the users. We compare two ways for the signaling of scheduling assignments and we will study how different parameters such as scheduling granularity impact the control signaling overhead. We also provide two schemes that reduce the control signaling overhead substantially. We then provide an algorithm for fast blind identification of channel codes. This algorithm is very useful in improving the so-called blind decoding performance. This is essential since blind decoding is used to achieve adaptive modulation and coding in the control channel of some of the wireless communication systems such as 3GPP Long Term Evolution.

Place, publisher, year, edition, pages
Linköping: Linköping University Electronic Press, 2011. 22 p.
Linköping Studies in Science and Technology. Thesis, ISSN 0280-7971 ; 1493
National Category
Engineering and Technology
urn:nbn:se:liu:diva-68069 (URN)LIU-TEK-LIC-2011:32 (Local ID)978-91-7393-145-8 (ISBN)LIU-TEK-LIC-2011:32 (Archive number)LIU-TEK-LIC-2011:32 (OAI)
2011-06-10, Planck, Fysik Huset, Campus Valla, Linköpings universitet, Linköping, 13:15 (English)
Available from: 2011-05-12 Created: 2011-05-10 Last updated: 2011-05-12Bibliographically approved

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