LEVERAGING WI-FI INFRASTRUCTURE FOR INCREASED POWER SAVINGS IN IOT DEVICES

Mining is one of the oldest industries known to man, and it continues to remain essential for the prosperity of modern civilization. Compared to surface mining, a large number of disasters are likely to occur during underground mining. To ensure the safety and security of an underground working environment, it is critical for underground mining operations to employ a robust and efficient monitoring infrastructure. To address that need, techniques are presented herein that support an increase in power savings in Internet of things (IoT) devices by leveraging a Wi-Fi infrastructure to determine when, and how frequently, such devices should wake up to send or receive data. Aspects of the presented techniques employ an access point’s (AP\u27s) channel state information (CSI) data, in conjunction with data from an AP’s on-board sensors (for metrics such as air quality, altimeter, temperature, and humidity), to detect indoor occupancy which, in turn, may drive the Target Wakeup Time (TWT) for selected IoT devices

CAMERA-ASSISTED RADIO RESOURCE MANAGEMENT

Current Radio Resource Management (RRM) implementations usually do not respond quickly to changes in the coverage area environment. Accordingly, techniques are described herein for making a reliable decision on applying different RRM functionalities in an optimal time and reducing latency on changing the network parameters. This fuses the information extracted from real-time video streams of the environment into the RRM unit to predict the network load and adapt algorithms accordingly

AUTOMATED FREQUENCY COORDINATION GUIDED RADIO ASSIGNMENT FOR WI-FI 6E ACCESS POINTS

Within a wireless local area network (WLAN) involving many Institute of Electrical and Electronics Engineers (IEEE) 802.11 access points (APs) in a high-density network, radio operating mode assignments for dual band (2.4 Gigahertz (GHz)/5GHz) or tri-band (2.4GHz/5GHz/6Ghz) capable radios can be provided using various radio assignment techniques in order to optimize radio coverage and reduce interference, which can improve user experience in such a high-density network. Presented herein is technique that re-architects traditional coverage-based radio assignments to adhere with 6GHz standards, high efficiency (HE) station load requirements, and Automated Frequency Coordination (AFC) regulations when determining optimal radio role transformations for Wi-Fi® dual band or tri-band 6GHz capable radios

RADIOFREQUENCY TRENDS AWARE DYNAMIC BANDWIDTH SELECTION

The current Dynamic Bandwidth Selection (DBS) algorithm only uses a snapshot of client metrics to make bandwidth recommendations for the remainder of the day. According to the present techniques, machine learning (ML) may be used to track/predict bias factors for DBS throughout the day

WI-FI CLIENT STEERING BETWEEN 2.4GHZ, 5GHZ, AND 6GHZ BANDS

The Federal Communications Commission (FCC) and other regulatory bodies around the world have opened up a new range of spectrum in the 6 Gigahertz (GHz) band for unlicensed use. The 6GHz band provides more channels, more bandwidth, and has less network congestion as compared to existing 2.4/5GHz bands. However, even though 6GHz capable radios are present and reachable in networks, 6GHz capable clients may still associate to a 2.4GHz or 5GHz radio because these bands typically have wider coverage and stronger signal strength than the 6GHz band. As a result, clients may not obtain the best performance available. Presented herein are techniques to steer 6GHz capable clients to a 6GHz radio when such clients associate to a non-6GHz radio, which can help to increase wireless network performance by providing the best performing band and decreasing network congestion by load balancing between bands

Improved Resource Allocation Mechanisms in Heterogeneous Mobile Data Networks

Femtocells, also sometimes referred to using the term "Home NodeB" (HNB), are low-power, low-cost cellular base stations utilizing a high speed internet connection as the backhaul. The recent hike in interest for femtocells in the market calls for a study of their impact on quality of service and possible mechanisms in resource allocation devised to address the problems that arise from their deployment. The work presented concentrates on three aspects of the resource allocation problem. Firstly, the access policies in heterogeneous networks consisting of macro and femto base stations are considered with the aim to ensure acceptable quality of service provided to all users while improving for some including the owners of the device. Access policies are studied that lie between the two extremes of fully open access and fully closed to exclusive owners of the device.The second aspect under study is packet scheduling mechanisms. While works exist on intra-cellular scheduling mechanisms as well as centralized inter-cellular schemes that provide a globally near- optimal scheduling, the body of work on global and uncoordinated scheduling mechanism is small, which is explored in this work.The third part of the study focuses on hand-off minimization over a network of moving mobile stations. We aim to find optimal handoff sequences in a series of predicted possible paths in front of a moving mobile station. A graph-based algorithm is explored in the third part of the study

Table of Contents

I. Abstract……………………………………………………………………………..