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In cellular networks, the Shortest Remaining Processing Time first (SRPT) principle, which is known to be optimal for sharing jobs on a single-server system, can deliver significant advantages over conventional scheduling algorithms. Transmissions are finished earlier, which improves user experience and enables operators to allow more users in their networks. However, this comes at the cost of reduced...
The tremendous increase of mobile user traffic load within the last few years forces us to efficiently use the wireless network and processing resources. Cloud computing and virtualization techniques offer an exciting opportunity to considerably reduce operation costs and provide flexible and dynamic systems. In this paper we present a simulation study for a cloud base station, which concentrates...
To cope with highly loaded networks in diverse traffic situations, scheduling time slots in advance is an efficient approach. However, such Lookahead scheduling relies on future Channel Quality Information (CQI), which has to be accurately predicted. In this paper, we introduce a generic model for channel prediction errors. With this model, we study how the performance of lookahead scheduling depends...
Current cellular networks are often overloaded by Smartphone traffic, while the users’ Quality of Service (QoS) demands are not met. To cope with this problem, we demonstrate a new radio resource management approach. With Context-Aware Resource Allocation, the base station’s scheduler (i) observes Context Information (CI) from the user’s environment and (ii) utilizes this knowledge for an efficient...
By supporting advanced multimedia applications and multitasking, recent Smartphone operation systems offer great flexibility to the users but make these devices even more difficult to serve. Now, operators of cellular networks face a situation where many applications and services generate highly heterogeneous and bursty traffic patterns. To cope with this challenge, we introduce Context-Aware Resource...
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