Abstract
Coexistence of small-cell LTE-U and Wi-Fi networks in unlicensed bands at 5 GHz is a topic of active interest, primarily driven by industry groups affiliated with the two (cellular and Wi-Fi) segments. Our focus in this work is on real-time deployment aspects of such coexisting networks, a topic which has seen little traction in the existing literature. The aim is to explore the following questions: (1) How do Wi-Fi clients associate with a Wi-Fi access point (AP) when a LTE-U base station is active with its maximum duty cycle, (2) How is the latency of Wi-Fi connection affected (in terms of association and data transmission) during coexistence with LTE-U, and (3) How does the energy sensing threshold of Wi-Fi affect the latency and throughput performance of Wi-Fi and LTE-U?
Highlights
Multimedia downloading and streaming with high-end handheld wireless devices, such as mobile phones and tablets, has led to an exponential increase in the demand for mobile data
In the case of Wi-Fi occupying a channel that LTE-U wishes to use, the problem is simple since it is expected that LTE-U will start transmitting with a 50% duty cycle, the reverse situation is more complicated and will be the one we address in this paper
In this paper, we focused on studying the association issue when Wi-Fi and LTE-U coexist on the same channel, addressing the question of how large a duty cycle should LTE-U be using to ensure ‘‘association fairness’’ with Wi-Fi
Summary
Multimedia downloading and streaming with high-end handheld wireless devices, such as mobile phones and tablets, has led to an exponential increase in the demand for mobile data. Qualcomm investigated coexistence of Wi-Fi with LTE-U through extensive simulations and showed that significant throughput gain can be achieved by aggregating LTE across licensed and unlicensed spectrum carriers [12]. Most existing work on duty cycle based LTE/Wi-Fi coexistence [1], [2], [14], [15] explores issues via analytical and simulation results. While useful, these approaches necessarily ignore several real-time operational challenges that are observed in test-bed deployments.
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