|Title||:||Energy Efficient Cell Selection and Resource Allocation for Femtocell Assisted Cellular Networks|
|Speaker||:||Rahul Thakur (IITM)|
|Details||:||Thu, 16 Jun, 2016 2:00 PM @ BSB 361|
|Abstract:||:||Future of cellular networks lies in heterogeneity. Heterogeneous cellular networks are characterized by an overlay of low power nodes such as microcells, picocells, and femtocells along with traditional macrocell base stations. These nodes help operators to improve system capacity in cost effective manner while making the environment greener by reducing the carbon footprint. Studies show that indoor mobile users account for nearly 80% of overall mobile data demands. Interestingly, these indoor users also experience the worst signal quality due to high wall penetration loss. To improve signal quality and data rate of indoor users, dense deployments of femtocells have proved to be an effective solution. However, low utilization of femtocell resources limits the gain obtained from their large scale deployment. Also, random placement of femtocells accumulates additional interference to macrocell users.
A cell selection scheme defines the criteria on which mobile users associate themselves with base stations. This criteria may include received signal quality, available bandwidth, and energy consumption. Hence, cell selection plays a crucial role in system capacity, load balancing, and energy consumption. Cell selection scheme based on Range Expansion Bias (REB) has proved to be an efficient solution to offload mobile users from macrocells to femtocells. Our work analyses the effects of cell biasing on femtocell assisted cellular network and provides an improvement in capacity and energy efficiency of the network through frequency reuse with subchannel power control.