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Unlike mitosis, meiosis aims for genetic diversity in its creation of haploid gametes. Dividing germ cells first begin this process in prophase I, where each chromosome—replicated in S phase—is now composed of two sister chromatids (identical copies) joined centrally.
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Crossing over is the exchange of genetic information between homologous chromosomes during prophase I of meiosis I. Genetic recombination gives rise to allelic diversity in the newly formed daughter cells. In humans, crossing over produces genetically distinct haploid egg and sperm cells that undergo fertilization to produce unique offspring. Before cell division starts, the germ cell’s chromosome(s) undergo duplication in the S phase of the cell cycle. As the cells enter prophase I,...
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Updated: Feb 14, 2026

Quantification of Protein Interaction Network Dynamics using Multiplexed Co-Immunoprecipitation
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A Cross-Layer Framework Integrating RF and OWC with Dynamic Modulation Scheme Selection for 6G Networks.

Ahmed Waheed1, Borja Genoves Guzman2, Somayeh Mohammady1

  • 1School of Electrical and Electronics Engineering, Technological University Dublin (TUD), D07 H6K8 Dublin, Ireland.

Sensors (Basel, Switzerland)
|February 13, 2026
PubMed
Summary

Future 6G wireless networks can be optimized by integrating radio frequency (RF) and optical wireless communication (OWC) technologies. This approach enables dynamic technology and modulation scheme selection for enhanced efficiency and adaptability.

Keywords:
6GOCDMOFDMOFDM-IMOTFSSCMAcross-layer frameworkhybrid RF/OWC networksmodulation schemes

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Area of Science:

  • Wireless Communication
  • Network Engineering

Background:

  • Future wireless networks, particularly 6G, require novel technologies to meet increasing demands.
  • Integrating radio frequency (RF) and optical wireless communication (OWC) presents a promising solution.

Purpose of the Study:

  • To introduce a novel model for integrating RF and OWC technologies for 6G systems.
  • To enable dynamic technology selection (TS) and modulation scheme selection (MSS) for optimizing network performance.

Main Methods:

  • A cross-layer architecture integrating application, network (SDN-based), and physical layers (hybrid cell, SDR-O).
  • Real-time decision-making based on environmental factors and application requirements.

Main Results:

  • The proposed model facilitates dynamic TS and MSS for improved network efficiency.
  • The cross-layer design enables adaptive performance in diverse 6G scenarios.

Conclusions:

  • The integration of RF and OWC technologies offers a viable path for future 6G networks.
  • Dynamic selection mechanisms are crucial for optimizing performance and adaptability in next-generation wireless systems.