R
Ronald Y. Chang
Researcher at Center for Information Technology
Publications - 116
Citations - 1435
Ronald Y. Chang is an academic researcher from Center for Information Technology. The author has contributed to research in topics: MIMO & Relay. The author has an hindex of 18, co-authored 113 publications receiving 1260 citations. Previous affiliations of Ronald Y. Chang include Academia Sinica & University of Southern California.
Papers
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Proceedings ArticleDOI
A Graph Approach to Dynamic Fractional Frequency Reuse (FFR) in Multi-Cell OFDMA Networks
TL;DR: A graph-based framework for dynamic fractional frequency reuse (FFR) in multi-cell OFDMA networks is proposed, which enhances the conventional FFR by enabling adaptive spectral sharing per cell load conditions and can achieve a 12% and 33% gain in cell throughput and service rate over conventional F FR.
Journal ArticleDOI
Multicell OFDMA Downlink Resource Allocation Using a Graphic Framework
TL;DR: A novel practical low-complexity multicell orthogonal frequency-division multiple access (OFDMA) downlink channel-assignment method that uses a graphic framework that can be used in next-generation cellular systems such as the 3GPP Long-Term Evolution and IEEE 802.16 m.
Journal ArticleDOI
New Space Shift Keying Modulation with Hamming Code-Aided Constellation Design
TL;DR: A new modulation scheme is presented, where the use of the Hamming code construction technique is proposed to systematically design the constellation and achieves better transmission rate, performance, and power tradeoffs with comparable hardware costs as compared with existing schemes.
Proceedings ArticleDOI
Design and Analysis of Multichannel Slotted ALOHA for Machine-to-Machine Communication
Chih-Hua Chang,Ronald Y. Chang +1 more
TL;DR: Simulation results demonstrate that the proposed AMLE- ALOHA outperforms an existing scheme in terms of the access delay and reaction time under bursty traffic with the same partial information, and compares favorably to the optimal control scheme with oracle knowledge of the number of active machines in the system.
Journal ArticleDOI
A Smartphone-Based Multi-Functional Hearing Assistive System to Facilitate Speech Recognition in the Classroom
TL;DR: Experiments show the effectiveness of the noise-reduction schemes at low signal-to-noise ratios in terms of standard speech perception and quality indices, and show the effective of SmartHear in maintaining voice- to-text conversion accuracy regardless of the distance between the speaker and listener.