NDLI: Near-Optimal Contraction of Voronoi Regions for Pruning of Blind Decoding Results

Content Provider	IEEE Xplore Digital Library
Author	Dongwoon Bai Jungwon Lee Sungsoo Kim Hanju Kim Inyup Kang
Copyright Year	1972
Abstract	In Long-Term Evolution (LTE) downlink control channel, a large number of blind decoding attempts are made, while the number of valid codewords is limited. The blind decoding results are then verified using a 16-bit cyclic redundancy check (CRC). However, even with the 16-bit CRC, the false alarm (FA) rate of such blind decoding is inevitably high. This paper investigates the problem of pruning of blind decoding results for reduction of the FA rate. To the best of our knowledge, the approach using a soft correlation metric (SCM) shows the best FA reduction performance among existing schemes. However, following the Bayes principle, we propose novel likelihood-based pruning that provides systematic balancing between the FA rate and the miss (MS) rate. Moreover, the simulation results show that the signal-to-noise ratio (SNR) gain of our proposed scheme is unbounded, with respect to the SCM-based scheme, in the independent and identically distributed (i.i.d.) Rayleigh fading channel. Moreover, the proposed scheme is shown to be less complex than the existing scheme. Finally, it is proved that, as SNR increases, the proposed approach has the decision error probability that approaches the minimum value yielding near-optimal contraction of Voronoi regions for pruning of blind decoding results.
Starting Page	1963
Ending Page	1974
Page Count	12
File Size	1090843
File Format	PDF
ISSN	00906778
Volume Number	63
Issue Number	6
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2015-01-01
Publisher Place	U.S.A.
Access Restriction	One Nation One Subscription (ONOS)
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Decoding Signal to noise ratio Downlink Approximation methods Phase shift keying Null space Fading signal detection Bayes procedures blind decoding decision making error correction coding error detection coding LTE downlink control channel PDCCH false alarm decision-making
Content Type	Text
Resource Type	Article
Subject	Electrical and Electronic Engineering

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