A signal-to-interference-plus-noise ratio-plus-noise ratio (SINR)-adaptive bandwidth selection scheme that dynamically selects among 1, 2, 4, and 8 MHz IEEE 802.11ah channels according to prevailing link quality is proposed.
Abstract
Rural highways, agricultural regions, and other infrastructure-limited environments often lack continuous cellular coverage and dedicated vehicular roadside units. Connected vehicles traversing these corridors nevertheless require intermittent links for cooperative awareness messaging, status updates, and low-rate telemetry. IEEE 802.11ah (Wi-Fi HaLow) offers extended sub-GHz reach and low-power operation suited to rapidly deployable, solar- or battery-powered access points where conventional vehicular infrastructure is absent. Selecting a fixed channel bandwidth nonetheless remains difficult: wide channels raise throughput under favourable conditions but erode robustness as distance and mobility increase, whereas narrow channels preserve link margin at the cost of capacity. This paper proposes a signal-to-interference-plus-noise ratio (SINR)-adaptive bandwidth selection scheme that dynamically selects among 1, 2, 4, and 8 MHz IEEE 802.11ah channels according to prevailing link quality. Performance is evaluated through cross-layer analytical modelling and packet-level ns-3 simulation against fixed-width baselines. Results show that no single bandwidth dominates across the mobility–distance envelope: wider channels favour short range and low speed, whereas narrower channels sustain more reliable delivery as conditions deteriorate. Relative to any fixed configuration, adaptive MHz selection yields a more balanced reliability–throughput trade-off for low-rate fallback connectivity along heterogeneous rural routes.
The evaluation results show that the proposed system improves channel capacity under dynamic station combinations, avoids unnecessary re-optimization under transient blockages, and triggers re-optimization after sustained environmental changes such as continuous blockage and device relocation.
Results reveal significant accuracy degradation under non-stationary and concurrent loads, highlighting the limitations of existing tools and the need for wireless-aware, traffic-adaptive avail-bw estimation techniques for modern hybrid networks.
F. Abut· Ömer Halisdemir Üniversitesi...· 0 citations
This letter studies reliable and energy-efficient uplink communication in vehicular satellite networks with time-varying line-of-sight (LOS) or non-line-of-sight (NLOS) conditions and satellite congestion, which challenge joint connectivity and hybrid automatic repeat request (HARQ) control. In this letter, we propose...
Elham Younesian, Pablo G. Madoery, S. Andreev et al.· IEEE Communications Letters· 0 citations
This work demonstrates the feasibility of using BLE advertisements as opportunistic signals for remote sensing in drone-based SAR missions to increase the efficiency of locating missing persons.
D. Pérez-Díaz-de-Cerio, J. Valenzuela, J. M. González-Arbesú et al.· IEEE Access· 0 citations
It can be deduced that the quality of services (QoS) of dense Wi-Fi networks can be effectively optimized by controlling the transmission power and CCA threshold.
Younghoon Kim, Jaeha Ahn, Youngbin You et al.· IEEE Access· 0 citations
The IEEE 802.11bn (Wi-Fi 8) Ultra-High Reliability amendment introduces Prioritized EDCA (P-EDCA) to compress the long tail of MAC access delay for time-sensitive traffic such as extended reality (XR), cloud gaming, and high-quality real-time video. P-EDCA admits a station to the medium with a short idle-sensing interv...
Juseong Moon, R. Kim· International Conference on...· 0 citations
We use cookies to run the site and, with your consent, for analytics and to show ads.
See our Cookie Policy.