Detecting LTE-U Duty Cycling Misbehavior for Fair Sharing with Wi-Fi in Shared Bands
Xuhang Ying, Radha Poovendran, Sumit Roy

TL;DR
This paper presents a method for spectrum managers to estimate LTE-U duty cycles using Wi-Fi observations, detect misbehavior exceeding duty cycle limits with high accuracy, and ensure fair coexistence in shared bands.
Contribution
It introduces a novel PHY-layer based scheme for detecting LTE-U duty cycle misbehavior without disrupting Wi-Fi operations, enhancing fairness in shared spectrum.
Findings
Estimates LTE-U duty cycle within +/- 1% accuracy
Detects duty cycle misbehavior with at least 95% probability
Maintains false alarm probability below 1%
Abstract
Coexistence of Wi-Fi and LTE Unlicensed (LTE-U) in shared or unlicensed bands has drawn growing attention from both academia and industry. An important consideration is fairness between Wi-Fi and duty cycled LTE-U, which is often defined in terms of channel access time, as adopted by the LTE-U Forum. Despite many studies on duty cycle adaptation design for fair sharing, one crucial fact has often been neglected: LTE-U systems unilaterally control LTE-U duty cycles; hence, as self- interested users, they have incentives to misbehave, e.g., transmitting with a larger duty cycle that exceeds a given limit, so as to gain a greater share in channel access time and throughput. In this paper, we propose a scheme that allows the spectrum manager managing the shared bands to estimate the duty cycle of a target LTE-U cell based on PHY layer observations from a nearby Wi-Fi AP, without…
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Taxonomy
TopicsWireless Networks and Protocols · Advanced Wireless Network Optimization · Advanced MIMO Systems Optimization
