Context-Aware Small Cell Networks: How Social Metrics Improve Wireless Resource Allocation

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Provided by: Cornell University
Topic: Mobility
Format: PDF
In this paper, a novel approach for optimizing and managing resource allocation in wireless Small Cell Networks (SCNs) with Device-To-Device (D2D) communication is proposed. The proposed approach allows to jointly exploit both the wireless and social context of wireless users for optimizing the overall allocation of resources and improving traffic offload in SCNs. This context-aware resource allocation problem is formulated as a matching game in which User Equipments (UEs) and Resource Blocks (RBs) rank one another, based on utility functions that capture both wireless and social metrics.
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