| Title | : | Learn to Breathe: An Energy Efficient Inter-Operator Proximal Spectrum Sharing |
| Speaker | : | Vijeth Kotagi (IITM) |
| Details | : | Thu, 16 May, 2019 3:00 PM @ A M Turing Hall |
| Abstract: | : | As billions of devices are connecting to the Internet, spectrum crunch has become a major concern for all mobile network operators. One of the ways to address the issue of lack of bandwidth is by sharing licensed spectrum among the operators. The sharing of spectrum can be realized in one of the following forms: (a) Borrowing of spectrum: Here, an operator gives exclusive rights of its spectrum to another operator, (b) Spectrum pool: Here, multiple operators share their spectrum in a common pool, and (c) Proximal spectrum sharing: Here, an user is served by the proximal Base Station (BS) independent of the operator to which the user belongs. First, we analyze the handover probability, coverage probability, and data rate achieved in interoperator proximal spectrum sharing. Furthermore, the increase in density of BSs has resulted in increased energy consumption and increased interference to the cell-edge users. The increased energy consumption results in increased operational costs while inefficient handling of cell edge users results in decreased Quality of Experience (QoE) of users. Therefore, we propose an energy efficient Q-Learning based framework called Learning based Discrete Breathing which minimizes the energy consumption of the system without trading off throughput and also addresses interference to the cell-edge users. We then analyze the proposed framework and by extensive simulation, we show the effectiveness of our proposed framework in terms of energy consumption, throughput, and energy consumption rating. |
