Throughput Analysis of LTE-Licensed-Assisted Access Networks with Imperfect Spectrum Sensing

In this paper, we study the throughput performance of LTE-licensed-assisted access (LAA) networks coexisting with wireless local area networks (WLAN) in the presence of imperfect spectrum sensing. By considering the false-alarm probability and miss-detection probability of widely-used energy detection, we analyze the potential impact of imperfect spectrum sensing on the access performance of unsaturated LTE-LAA networks along with binary slotted exponential backoff. The access probabilities of LTE-LAA networks and WLAN systems are derived based on the discrete-time Markov chain (DTMC) model. Furthermore, the throughput of LTE-LAA networks is maximized by jointly optimizing the sensing duration and threshold. Numerical results confirm the great impact of imperfect spectrum sensing on the LTE-LAA system throughput, and indicate the optimized sensing duration and threshold can achieve a significant performance gain compared to the fixed ones.