I-Wei Lai
National Taiwan Normal University
58 Papers
282 Citations
I-Wei Lai is an academic researcher from National Taiwan Normal University. The author has contributed to research in topics: MIMO & Decoding methods. The author has an hindex of 11, co-authored 54 publications. Previous affiliations of I-Wei Lai include National Taiwan University & RWTH Aachen University.
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Papers
Improving the Capacity of a Mesh LoRa Network by Spreading-Factor-Based Network Clustering
TL;DR: A tree-based SF clustering algorithm (TSCA) to conduct SF allocation in a multihop LoRa network focuses on balancing the airtime between the subnets while ensuring connectivity and uses simulations to show that this approach can significantly increase the network performance compared with other approaches.
Combining orthogonalized partial metrics: Efficient enumeration for soft-input sphere decoder
Chun-Hao Liao,I-Wei Lai,Konstantinos Nikitopoulos,Filippo Borlenghi,D. Kammler,Martin Witte,Dan Zhang,Tzi-Dar Chiueh,Gerd Ascheid,Heinrich Meyr +9 more
- 01 Dec 2009
TL;DR: This paper presents an algorithm that effectively combines these two enumerations to deliver an order close to the SE one, and is the first algorithm allowing for a low-complexity implementation with optimal error rate performance for any number of iterations.
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Offline answering function for fill-in-blank problems in Java Programming Learning Assistant System
Nobuo Funabiki,Hiroki Masaoka,Nobuya Ishihara,I-Wei Lai,Wen-Chung Kao +4 more
- 25 Jul 2016
TL;DR: This paper implements the offline answering function for fill-in-blank problems in JPLAS with the hash function and the message authentication technique and confirms the effectiveness of the proposal through applications to the Java programming course in the department.
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Spatial Permutation Modulation for Multiple-Input Multiple-Output (MIMO) Systems
TL;DR: A spatial permutation modulation (SPM) that modulates data bits to a permutation vector and activates the transmit antenna at successive time instants accordingly, which achieves higher diversity and thus lower error rate since the permutations vector disperses data along the time coordinate.
End-to-End Virtual MIMO Transmission in Ad Hoc Cognitive Radio Networks
TL;DR: Numerical results show that the proposed virtual MIMO framework can pave the way to efficient and reliable end-to-end transmission in ad hoc CRNs.
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