|Title||:||Improving Mobile User Throughput via Efficient Resource Management Techniques in Heterogeneous Cellular Networks|
|Speaker||:||Rajkaran Singh (IITM)|
|Details||:||Tue, 24 Mar, 2015 3:00 PM @ BSB 361|
|Abstract:||:||Heterogeneous cellular networks (HetNets) are characterized by multiple base stations (BS) having different transmission ranges and coverage areas. HetNets provide improved coverage and capacity to the mobile users. However, co-channel interference is a major concern due to the co-existence of multiple base stations with overlaid regions. The severity of the problem intensifies in case of hotspot deployment, where picocells cannot provide coverage to the entire hotspot, thus forming a dense ring of macrocell users around picocells. From base station's perspective, we explore techniques to solve the problem of interference in such scenarios exploiting the use of Almost Blank Subframes.
From the perspective of a mobile user, ways to improve Quality of Service (QoS) of mobile users have been explored. Mobile users are characterized by their usage habits, and categorized as priority and non-priority users based on the cellular plans subscribed by them. Multiple applications have also emerged with the advent of smart phones and tablets, which require high bitrates. To ensure better QoS to the priority users, necessary resources must be reserved at the base station. We investigate ways to reserve bandwidth for priority users and analyze the system behavior. Machine learning techniques have been exploited for bandwidth reservation by forecasting mobile user's traffic pattern.