Skip to Main content Skip to Navigation
Conference papers

Matching with Externalities for Context-Aware User-Cell Association in Small Cell Networks

Abstract : In this paper, we propose a novel user-cell association approach for wireless small cell networks that exploits previously unexplored context information extracted from users' devices, i.e., user equipments (UEs). Beyond characterizing precise quality of service (QoS) requirements that accurately reflect the UEs' application usage, our proposed cell association approach accounts for the devices' hardware type (e.g., smartphone, tablet, laptop). This approach has the practical benefit of enabling the small cells to make better informed cell association decisions that handle practical device-specific QoS characteristics. We formulate the problem as a matching game between small cell base stations (SBSs) and UEs. In this game, the SBSs and UEs rank one another based on well-designed utility functions that capture composite QoS requirements, extracted from the context features (i.e., application in use, hardware type). We show that the preferences used by the nodes to rank one another are interdependent and influenced by the existing network-wide matching. Due to this unique feature of the preferences, we show that the proposed game can be classified as a many-to-one matching game with externalities. To solve this game, we propose a distributed algorithm that enables the players (i.e., UEs and SBSs) to self-organize into a stable matching that guarantees the required applications' QoS. Simulation results show that the proposed context-aware cell association scheme yields significant gains, reaching up to 52% improvement compared to baseline context-unaware approaches.
Document type :
Conference papers
Complete list of metadata

Cited literature [15 references]  Display  Hide  Download
Contributor : Azary Abboud Connect in order to contact the contributor
Submitted on : Wednesday, January 8, 2014 - 10:44:34 PM
Last modification on : Monday, December 14, 2020 - 2:36:02 PM
Long-term archiving on: : Thursday, April 10, 2014 - 2:36:02 PM


Files produced by the author(s)


  • HAL Id : hal-00925968, version 1



Francesco Pantisano, Mehdi Bennis, Walid Saad, Stefan Valentin, Mérouane Debbah. Matching with Externalities for Context-Aware User-Cell Association in Small Cell Networks. GLOBECOM 2013, Dec 2013, Atlanta, United States. pp.1-6. ⟨hal-00925968⟩



Les métriques sont temporairement indisponibles