Báo Cáo Báo cáo hóa học Research Article Application-Specific Instruction Set Processor Implementation of Lis

Báo cáo hóa học: Research Article Application-Specific Instruction Set Processor Implementation of List Sphere Detector
Tuyển tập báo cáo các nghiên cứu khoa học quốc tế ngành hóa học dành cho các bạn yêu hóa học tham khảo đề tài: Research Article Application-Specific Instruction Set Processor Implementation of List Sphere Detector


Research Article
Application-Specific Instruction Set Processor Implementation
of List Sphere Detector
Juho Antikainen,
1 Perttu Salmela,
2 Olli Silv´ en,
1 Markku Juntti,
1 Jarmo Takala,
2 andMarkusMyllyl ¨ a1
1
Information Processing Laboratory and Centre for Wireless Communications, University of Oulu, 90014 Oulu, Finland
2
Institute of Digital and Computer Systems, Tampere University of Technology, 33101 Tampere, Finland
Received 8 June 2007; Revised 18 October 2007; Accepted 12 November 2007
Recommended by Marco Platzner
Multiple-inputmultiple-output (MIMO) technology enables higher transmission capacity without additional frequency spectrum
and is becoming a part of many wireless system standards. Sphere detection has been introduced in MIMO systems to achieve
maximum likelihood (ML) or near-ML estimation with reduced complexity. This paper reviews related work on sphere detector
implementations and presents an application-specific instruction set processor (ASIP) implementation of K-best list sphere detec-
tor (LSD) using transport triggered architecture (TTA). The implementation is based on using memory and heap data structure
for symbol vector sorting. The design space is explored by presenting several variations of the implementation and comparing
them with each other in terms of their latencies and hardware complexities. An early proposal for a parallelized architecture with
a decoding throughput of approximately 5.3 Mbps is presented
Copyright © 2007 Juho Antikainen et al. This is an open access article distributed under the Creative Commons Attribution
License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly
cited.