| Title | : | Novel UAV-aided cellular user offloading techniques for 5G and beyond |
| Speaker | : | Chigullapally Sriharsha (IITM) |
| Details | : | Mon, 19 Jun, 2023 10:00 AM @ MR - I (SSB 233) |
| Abstract: | : | Unmanned Aerial Vehicles (UAVs) can be leveraged to perform cellular user offloading in dynamic hotspot scenarios and enable the unserved users of overloaded gNodeB (gNB) to use the unutilized bandwidth of a neighbouring underloaded gNB. While such offloading increases spectral efficiency, co-channel interference may occur between the offloaded user and another user which is served on the same frequency. To handle the same, we propose a novel UAV-aided cellular user offloading that uses Successive Interference Cancellation (SIC) at the receivers. Our proposed solution can be used for dynamic hotspots that occur in both cell-centred and cell-edge areas. We do not use any unlicensed band for communication between users and UAV, thereby avoiding contention between cellular technologies and technologies that use unlicensed bands such as WiFi. The proposed solution i s shown to significantly decrease the total cost of Service Level Agreements (SLA) violations and increase the total available rate for the users of the overloaded gNB. However, SIC based solution is not suitable for power-constrained devices and blocked users. Intelligent Reflecting Surface (IRS) technology can be leveraged to reach the blocked users. Therefore, we propose another solution in which we use a UAV mounted with two IRS panels to reach the blocked users and to minimize the co-channel interference between offloaded users and other users while performing cellular user offloading. By using IRS-mounted-UAV-based offloading, through numerical simulations, we show that the total SLA violation cost decreases by up to 17.18% and spectral efficiency increases by up to 6.66% when there are 400 elements in each IRS. Web Conference Link :https://meet.google.com/mch-hyea-guq |
