Proud to share that my first-author paper, “Optimizing Spectrum Allocation Using Deep Reinforcement Learning in Heterogeneous Wireless Networks,” has been published in Internet Technology Letters, a Wiley journal focused on emerging internet and communication technologies.
This work explores how deep reinforcement learning can be applied to optimize spectrum allocation in heterogeneous wireless networks, with the goal of improving efficiency, reducing collisions, and enhancing overall network performance.
This publication marks an important milestone in my research journey, and I’m excited to continue working in the areas of wireless communication, AI-driven optimization, and intelligent networking systems.
Read the paper here:
doi.org/10.1002/itl2.70242
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