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@article{186251,
        author = {Diya Sachin Magdum and Miss. Pranjal P. Farakte and Aarya Vikas Desai and Maithili Sagar Jadhav and Vedant Prasad Date and Shailesh Umesh Khot},
        title = {MANAGEMENT OF DOWNLINK OFDMA RADIO RESOURCES},
        journal = {International Journal of Innovative Research in Technology},
        year = {2025},
        volume = {12},
        number = {6},
        pages = {414-420},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=186251},
        abstract = {Orthogonal frequency department a couple of access (OFDMA) has emerged as the cornerstone of modern wi-fi verbal exchange structures, especially within the downlink of LTE and 5G networks. Its potential to divide the to be had spectrum into multiple orthogonal subcarriers permits simultaneous transmission to multiple users, improving spectral efficiency and device capacity. However, the effectiveness of OFDMA is highly dependent on how radio sources are controlled. Downlinks especially face particular challenges because of the want to simultaneously serve a large quantity of users with varying quality of service (QoS) necessities, ranging from actual-time packages including voice and video to best-attempt services together with internet browsing and report downloads.
Effective control of downlink OFDMA radio sources includes 3 vital aspects: scheduling, electricity allocation, and interference control. Scheduling algorithms determine how subcarriers and time slots are disbursed among users. Classical tactics inclusive of round robin ensure fairness but regularly sacrifice throughput, at the same time as proportional fair scheduling strikes a stability among performance and equity. Power allocation techniques, along with uniform electricity distribution and watering algorithms, at once affect gadget performance by way of adapting transmission strength to channel situations. Interference control techniques which include fractional frequency reuse (FFR), coordinated multi-factor (COMP) and inter-mobile interference coordination (ICIC) are crucial to mitigate the harmful effects of inter-cell interference in dense deployments.
Recent studies has additionally highlighted the position of synthetic intelligence and device learning in enhancing resource management. By leveraging actual-time community information, AI-powered algorithms can dynamically optimize scheduling and strength allocation techniques, leading to more shrewd and efficient use of spectrum. Furthermore, the mixing of huge MIMO and community reducing in 5G introduces new dimensions in resource management, allowing optimized QoS ensures for different programs and consumer businesses.
This paper gives a complete evaluate of downlink OFDMA radio useful resource control techniques, studying their strengths, limitations, and applicability in modern-day and destiny networks. It additionally identifies open challenges along with scalability, power efficiency change-offs and protection implications of AI-driven optimization in extremely-dense networks. The findings emphasize that at the same time as traditional technologies are nevertheless relevant, the destiny of useful resource control lies in adaptive, intelligent and context-aware solutions that can meet the necessities of 5G and pave the way for 6G.},
        keywords = {},
        month = {November},
        }