NDLI: Search Space Design for Cross-Carrier Scheduling in Carrier Aggregation of LTE-Advanced System

Content Provider	IEEE Xplore Digital Library
Author	Anxin Li Takeda, K. Miki, N. Yuan Yan Kayama, H.
Copyright Year	2011
Abstract	CA(Carrier aggregation) is one of the most important techniques for LTE-Advanced system because of its capability to support wide bandwidth while achieving backward compatibility. In order to improve performance of control information transmission, cross-carrier scheduling is to be supported, i.e. control information on one CC (Component Carrier) can assign radio resource on another CC. Design of search space, in which control information is mapped, for different CCs is one of the most essential issues of cross-carrier scheduling. This paper presents two novel methods of search space design. In the first method, UE (User Equipment)-specific offset is introduced among search spaces of different CCs. Due to the UE-specific offsets, search spaces of different UEs are staggered with each other and probability that search space of one UE is wholly overlapped with that of another UE can be greatly reduced. In the second method, a novel randomization scheme is proposed to generate independent hashing functions for search spaces of different CCs. Because of ideal randomization of the proposed method, search space overlapping of different UEs is reduced. Simulation results show the proposed methods can effectively reduce blocking probability compared with existing methods.
Starting Page	1
Ending Page	5
File Size	329014
Page Count	5
File Format	PDF
ISBN	9781612842325
ISSN	15503607
e-ISBN	9781612842332
e-ISBN	9781612842318
DOI	10.1109/icc.2011.5963487
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2011-06-05
Publisher Place	Japan
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Aerospace electronics IEEE Communications Society Indexes Radio access networks Monitoring Decoding Downlink
Content Type	Text
Resource Type	Article

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