Fine-Grained Radio Resource Management to Control Interference in Dense Wi-Fi Networks

Abstract

Abstract-In spite of the enormous popularity of Wi-Fienabled devices, the utilization of Wi-Fi radio resources (e.g. RF spectrum and transmission power levels) at Access Points (APs) is degraded in current decentralized Radio Resource Management (RRM) schemes. Most state of the art central control solutions apply configurations in which the network-wide impacts of the involved parameters and their mutual relationships are ignored. In this paper, we propose an algorithm for jointly adjusting the transmission power levels and optimizing the RF channel assignment of APs by taking into account the flows' required qualities while minimizing their interference impacts throughout the network. The proposed solution is tailored for an operatoragnostic and Software Defined Wireless Networking (SDWN)-based centralised RRM in dense Wi-Fi networks. Our extensive simulation results validate the performance improvement of the proposed algorithm compared to the main state of the art alternative by showing more than 25% higher spectrum efficiency, satisfying the users' demands and further mitigating the networkwide interference through a flow-based and quality-oriented power level adjustment.

Radio resource management framework for energy‐efficient communications in the Internet of Things

“…As Wi‐Fi networks also operate on unlicensed bands, the popularity of this technology has resulted in dense deployments with a lack of coordination among Wi‐Fi access points, which has resulted in interference and congestion that affects the quality of connectivity for many wireless users. Many research initiatives are currently trying to address the spectrum congestion problem in Wi‐Fi networks by introducing novel interaccess point cooperation solutions based on SDN …”

Wi-5: A Programming Architecture for Unlicensed Frequency Bands

“…Radio Parameter Configuration: Based on the algorithm presented in [10], this application finds an optimal radio parameter configuration to achieve the dual objective of minimizing the interference level in congested environments while simultaneously satisfying the QoS requirements of the wireless users' services. This application is based on a flow-centric radio management approach where the spectrum allocation is based on the QoS requirements of each traffic flow.…”

QoS aware radio access technology selection framework in heterogeneous networks using SDN

“…2. In this architecture, management solutions are implemented as applications on the northbound API of the SDN controller and algorithms for AP selection [23], [24], chan- nel assignment [25], [26], and RRM [27] have been already proposed for implementation to address spectrum congestion in Wi-Fi networks. The Wi-5 architecture defines a Spectrum Plane which enhances the operational capabilities of IEEE 802.11 APs by defining new monitoring and configuration primitives, and making APs programmable, thereby enabling fine-grained spectrum allocation and management.…”

“…These nodes are randomly deployed in an area of 250×250 m 2 at a minimum distance of 40 m among them. This distribution of nodes represents a realistic and typical example of a dense environment with overlapped coverage areas among the nodes [27], [39]. We also simulate a set of m downlink flows requesting connection, where m varies between 1 and 400.…”

“…A performance analysis is provided for all the flows, i.e., SRFs and MRFs, connecting to the network and managed by the SDN controller. Other simulation parameters that help to define a typical dense HetNet scenario such as the propagation and node settings are included in Table 2 [27], [39], [40].…”