TY - GEN
T1 - Enhancing LAA/Wi-Fi Coexistence via Concurrent Transmissions and Interference Cancellation
AU - Guo, Zhiwu
AU - Li, Ming
AU - Xiao, Yong
N1 - Publisher Copyright:
© 2019 IEEE.
PY - 2019/11
Y1 - 2019/11
N2 - With the rapid growth of mobile devices and popularity for data-intensive services, LTE Licensed-Assisted Access (LAA) has been proposed to allow coexistence of LTE and Wi-Fi in 5 GHz unlicensed band. Most existing works have been focusing on developing collision avoidance mechanisms to ensure the harmonious coexistence between Wi-Fi and LTE. In this paper, we argue that simply avoiding possible collisions caused by simultaneous transmissions does not fully utilize the unlicensed spectrum. We derive the optimal CCA threshold that enables as many simultaneous transmissions between coexisting LTE and Wi-Fi as possible and exploit successive interference cancellation to further increase the chance of concurrent transmissions. We introduce a Markov-model based approach to quantity the impact of energy detection, concurrent transmission and successful decoding probability on the throughput expressions of LAA and Wi-Fi. Extensive simulations have been presented to validate our proposed theoretical model. Our results show the throughput of Wi-Fi and LAA can be significantly improved under several typical coexistence scenarios.
AB - With the rapid growth of mobile devices and popularity for data-intensive services, LTE Licensed-Assisted Access (LAA) has been proposed to allow coexistence of LTE and Wi-Fi in 5 GHz unlicensed band. Most existing works have been focusing on developing collision avoidance mechanisms to ensure the harmonious coexistence between Wi-Fi and LTE. In this paper, we argue that simply avoiding possible collisions caused by simultaneous transmissions does not fully utilize the unlicensed spectrum. We derive the optimal CCA threshold that enables as many simultaneous transmissions between coexisting LTE and Wi-Fi as possible and exploit successive interference cancellation to further increase the chance of concurrent transmissions. We introduce a Markov-model based approach to quantity the impact of energy detection, concurrent transmission and successful decoding probability on the throughput expressions of LAA and Wi-Fi. Extensive simulations have been presented to validate our proposed theoretical model. Our results show the throughput of Wi-Fi and LAA can be significantly improved under several typical coexistence scenarios.
UR - http://www.scopus.com/inward/record.url?scp=85078039737&partnerID=8YFLogxK
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U2 - 10.1109/DySPAN.2019.8935659
DO - 10.1109/DySPAN.2019.8935659
M3 - Conference contribution
AN - SCOPUS:85078039737
T3 - 2019 IEEE International Symposium on Dynamic Spectrum Access Networks, DySPAN 2019
BT - 2019 IEEE International Symposium on Dynamic Spectrum Access Networks, DySPAN 2019
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2019 IEEE International Symposium on Dynamic Spectrum Access Networks, DySPAN 2019
Y2 - 11 November 2019 through 14 November 2019
ER -