Dr. Lu received the B.S. degree from Tatung University, Taipei, Taiwan, in 1993, and the M.S. and Ph.D. degrees from University of Southern California (USC), Los Angeles, in 1999 and 2003, respectively, all in electrical engineering. He was a postdoctoral research fellow at University of Waterloo, ON, Canada, during 2003-2004. In February 2004, he joined the Department of Communications Engineering, National Chung-Cheng University, Chiayi, Taiwan, where he was promoted to Associate Professor in August 2007. Since August 2008, he has been with the Department of Electrical Engineering, National Chiao Tung University, Hsinchu, Taiwan, where he is currently a Full Professor. His research is in the area of algebraic coding theory and MIMO communication systems. He is an Associate Editor of IEEE Transactions on Vehicular Technology. Dr. Lu is a recipient of several research awards, including the 2006 IEEE Information Society Taipei Chapter and IEEE Communications Society Taipei/Tainan Chapter Best Paper Award for Young Scholars, the 2007 Wu Da You Memorial award from Taiwan National Science Council, the 2007 IEEE Communication Society Asia Pacific Outstanding Young Researchers Award, and the 2008 Academia Sinica Research Award for Junior Research Investigators.
Award
o External Honors 2023 TPC Cochair for 2023 IEEE International Symposium on Information Theory (ISIT)
o External Honors 2017 TPC Cochair for 2017 IEEE Information Theory Workshop (Nov. 2017)
o External Honors 2012 Top Associate Editor Award from IEEE Transactions on Vehicular Technologies
o Campus Honors 2011 Excellent Instructor of Academia Year 99 (Unit of Extracurricular Activities Guidance)
o External Honors 2008 Award for Publications by Young Scholars (Academia Sinica)
o External Honors 2007 Asia-Pacific Outstanding Young Researchers Award (IEEE Communications Society)
o External Honors 2007 Memorial Award of Mr. Wu Da You (National Science Council)
o External Honors 2006 Best Young Scholar Paper Award (IEEE Information Theory & IEEE Communication Societies, Taipei/ Tainan Chapter)
Professional Experience
o Professor, Institute of Communications Engineering, National Yang Ming Chiao Tung University. (2010.08 ~ present)
o Associate Professor, Institute of Communications Engineering, National Yang Ming Chiao Tung University. (2008.08 ~ 2010.07)
First Topic:
Near-Optimal Designs of Hybrid Precoding and Combining for Massive MIMO Systems from Lattice Decoding
We proposed near-optimal designs for hybrid massive MIMO communication systems. The designs consist of a pair of finite resolution analog precoder and combiner and a baseband encoder. For any configuration of hybrid MIMO systems, several powerful upper bounds on the maximal achievable rates are derived and are used as guidelines for the proposed designs. Armed with the insights of upper bounds, designing the coefficients for finite resolution analog precoders and combiners is then regarded as a lattice decoding problem, where low complexity lattice decoders and convex solvers are employed to yield optimal solutions with the best structure for partial connection. Simulation results show that the proposed design achieves within a negligible gap to the rate upper bound using phase shifters with low resolution, while reducing the number of required phase shifters by roughly 20% and significantly outperforming many existing designs at the same time.
H. -f. Lu, "Near-Optimal Designs of Hybrid Precoding and Combining for Massive MIMO Systems From Lattice Decoding," in IEEE Transactions on Vehicular Technology, vol. 72, no. 8, pp. 10521-10533, Aug. 2023. (Link)
Second Topic:
SZFDPC-Based MIMO Downlink Communications with Fairness Considerations
We proposed new power allocation schemes taking both sum-rate and fairness into account for MIMO downlink communications employing successive zero-forcing dirty paper coding. Using a revised L1-norm fairness measure that allows for a more comprehensive consideration when users have an unequal number of receive antennas, we completely characterized the optimal tradeoff between sum-rate and fairness for MIMO downlink communications with arbitrary channel statistics. We also devised a novel stochastic power allocation scheme capable of achieving this optimal tradeoff. To put the optimal tradeoff into practical use, we designed an explicit rule for selecting operating sum-rate from the tradeoff. Simulation results show that the new scheme can yield higher sum-rate and better fairness at the same time.
H. -F. Lu, "Achieving the Sum Rate Capacity of MIMO Downlink Communications With Better Fairness," in IEEE Access, vol. 9, pp. 161877-161889, 2021. (Link)