K-Best Decoders for 5G+ Wireless Communication (eBook)

Mehnaz Rahman completed her Bachelor of Science on Electrical and Electronics Engineering from Bangladesh University of Engineering and Technology in 2011. She is currently doing PhD in Computer Engineering from Texas A&M University, College Station, TX since Fall 2012 under the supervision of Dr. Gwan Choi. Her research interest is focused on algorithmic development and circuit level VLSI design for beyond 5G wireless communication.After completion of her BSC degree, she worked at Samsung R&D Center, Dhaka, Bangladesh in 2011. She also did summer internships at Intel Research Lab in every year from 2013 to 2015. She has worked as a Teaching Assistant at TAMU for a variety of undergraduate and graduate courses and has been nominated for the Best TA Award during spring 2015. She has received Intel Research Award during her internship in summer, 2013 and Graduate Merit Award at TAMU during fall 2015 for her achievement on research. She has also filed a patent on 5G+ wireless technology with Intel Lab.Dr. Gwan Choi received his B.S., M.S. and Ph.D. degrees, all in electrical and computer engineering, from the University of Illinois at Urbana-Champaign in 1988, 1989 and 1994, respectively. He currently is an associate professor in the department. He has worked for Cray Research Inc. and Tandem Computers Inc, and he has been a visiting scientist at the NASA Langley Research Center.Dr. Choi's research interests include fault-tolerance, verification simulation, high-performance VLSI circuits, radiation testing, design for dependability and software engineering. He is a member of Eta Kappa Nu, the IEEE Computer Society, the IEEE technical committee on Fault-Tolerant Computing and the IEEE technical committee on computer architecture.Dr. Choi also has served as a program committee member on several international conferences and was a vice-chair for the IEEE International Performance and Dependability Symposium, IPDS-2000. He has won a number of awards including the National Science Foundation's (NSF) career award in 1997.

PREFACEDEDICATIONACKNOWLEDGEMENTSNOMENCLATURETABLE OF CONTENTSI INTRODUCTION1.1 Introduction to MIMO System1.2 Challenges and Motivation1.3 Contributions1.4 Book OutlineII   BACKGROUND2.1 MIMO System Model2.2 MIMO Detection Scheme2.2.1 Optimal MIMO Detection2.2.2 Sub-optimal MIMO Detection2.2.3. Near Optimal MIMO DetectionIII REAL DOMAIN ITERATIVE K-BEST DETECTOR3.1 Theory of K-Best Algorithm3.2 Proposed K-Best Algorithm3.2.1 LR-aided K-Best Decoder3.2.2 On Demand Child Expansion3.2.3 Soft Decoding3.2.4 LDPC Decoder3.3 Discussion3.3.1 Simulation and Analysis3.3.2 Choosing Optimum List Size, K3.3.3 Effect of LLR Clipping on KIVCOMPLEX DOMAIN ITERATIVE K-BEST DECODER4.1 Proposed Complex domain K-Best Decoder4.2 Complex On-demand Expansion4.3 Iterative Soft Decoding4.4 Discussion4.4.1 Simulation and Analysis4.4.2 Effect of Rlimit on BER4.4.3 Comparison of PerformanceVFIXED POINT REALIZATION OF ITERATIVE K-BEST DECODER5.1 Architecture Selection5.1.1 QR Decomposition5.1.2 Lattice Reduction5.1.3 LDPC Decoder5.2 Fixed Point Conversion with Word-length Optimization5.3 Discussion5.3.1 Comparison of Performance5.3.2 Optimization of Word-lengthVIIADAPTIVE REAL DOMAIN ITERATIVE K-BEST DECODER6.1 Proposed Adaptive K-Best Algorithm6.2 Discussion6.2.1 Estimation of Channel6.2.2 Choosing Threshold Points6.2.3 Performance of Adaptive K-Best DecoderVIICONCLUSION7.1Summary of Chapter II7.1.1  MIMO System Model7.1.2  MIMO Detection Schemes7.2   Summary of Chapter III7.2.1 Discussion of Chapter III7.3   Summary of Chapter IV7.3.1 Discussion of Chapter IV7.4   Summary of Chapter V7.4.1 Discussion of Chapter V7.5   Summary of Chapter VI7.5.1 Discussion of Chapter VI                                  REFERENCES