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Mehdi Bennis

Researcher at University of Oulu

Publications -  642
Citations -  37644

Mehdi Bennis is an academic researcher from University of Oulu. The author has contributed to research in topics: Computer science & Wireless network. The author has an hindex of 68, co-authored 569 publications receiving 25361 citations. Previous affiliations of Mehdi Bennis include Kyung Hee University & Nokia Networks.

Papers
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Proceedings ArticleDOI

Distributed Edge Caching in Ultra-Dense Fog Radio Access Networks: A Mean Field Approach

TL;DR: A dynamic distributed edge caching scheme to jointly minimize the request service delay and fronthaul traffic load and outperforms the baseline schemes under both static and time-variant user requests.
Proceedings ArticleDOI

Proactive user association in wireless small cell networks via collaborative filtering

TL;DR: A collaborative filtering approach that enables the small base stations (SBSs) to exploit the correlation across similar user and application requirements to predict the QoE that a UE-SBS association delivers, and yields more precise bandwidth allocations reaching up to 19% spectrum savings, compared to conventional cell association approaches.
Proceedings ArticleDOI

Performance Analysis of Integrated Sub-6 GHz-Millimeter Wave Wireless Local Area Networks

TL;DR: Simulation results show that the proposed integrated mmW-sub 6 GHz MAC protocol yields significant performance gains, in terms of maximizing the saturation throughput and minimizing the delay experienced by the STAs.
Journal ArticleDOI

Joint load balancing and interference mitigation in 5G HETNETS

TL;DR: In this paper, a joint load balancing and interference mitigation problem is formulated as a network utility maximization subject to wireless backhaul constraints, and the problem is decoupled into dynamic scheduling of macro cell users, backhaul provisioning of self-backhauled small cells, and offloading macrocell users to small cells.
Journal ArticleDOI

Fronthaul-Aware Software-Defined Wireless Networks: Resource Allocation and User Scheduling

TL;DR: A two-timescale fronthaul-aware SDN control mechanism is proposed in which the controller maximizes the time-averaged network throughput by enforcing a coarse correlated equilibrium in the long timescale.