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Sagnik Bhattacharyya

Publications and source records attributed to Sagnik Bhattacharyya.

2 recordsLinked to original sources

Pinching Antenna Assisted Integrated Sensing and Communication Using Quadrature RSMA

This paper proposes a pinching antenna system (PASS)-assisted downlink quadrature rate-splitting multiple access (Q-RSMA)-based integrated sensing and communication (PASS-QRSMA-ISAC) framework for simultaneously supporting multi-user communication and target sensing. In the proposed framework, multiple pinching antennas (PAs) deployed along a dielectric waveguide serve communication users (CUs) distributed across a dual-room indoor environment, where line-of-sight (LoS) and non-line-of-sight (NLoS) propagation conditions coexist. By integrating PASS with Q-RSMA, the proposed framework improves interference management while reducing the dependence on successive interference cancellation. The communication and sensing signal models are developed, followed by the corresponding SNR/SINR expressions. To obtain tractable analytical insights, a two-user single-PA case under ideal waveguide conditions is first analysed, where the per-user communication outage probability (COP), system COP, sensing outage probability (SOP), and ergodic sum-rate are formulated using distance statistics, CDF/CCDF characterisations, and numerical integration methods. The analysis is then extended to the generalised multi-user multi-PA scenario by developing statistical characterisations for the LoS communication, NLoS communication, and sensing channels. Based on these characterisations, the per-user COP, system COP, SOP, and ergodic sum-rate are formulated and evaluated for the generalised framework. Monte Carlo simulations validate the analytical results and demonstrate the performance gains of the proposed PASS-QRSMA-ISAC framework over the considered benchmark schemes, including PASS-RSMA-ISAC, PASS-NOMA-ISAC, and PASS-SDMA-ISAC. The results further highlight the effects of various system parameters on the proposed framework.

eess.SP

Network organization of coopetitive genetic influences on cortical morphologies

Brain can be represented as a network, where regions are the nodes and relations between the regions are edges. Within a network, co-existence of cooperative and competitive relationships between different nodes is called coopetition. Inter-regional genetic influences on morphological phenotypes (cortical thickness, surface area) of cortex display such coopetitive relationships. Here, we have represented these genetic influences as a network and shown that cooperative and competitive genetic influences on cortical morphological phenotypes follow distinct organization principles. Utilizing the theory of structural balance, we have shown that the pattern of collective regulation of cortical morphological phenotypes by cooperative and competitive genetic influences are overall bilaterally symmetric and such patterns of collective genetic regulation are similar to the principal modes of population variation of cortical morphological phenotypes. Finally, we have observed that the maximally and minimally imbalanced regions corresponding to the collective genetic regulation partially overlap with the cortical structural network hubs.

q-bio.NC