Title
Dynamic Max Txop Algorithms In Licensed-Assisted Access System
Abstract
Offloading the LTE data services to unlicensed spectrum has been considered by 3GPP in Release 13, which is defined as LAA (Licensed-Assisted Access). Unlicensed band is attractive because of its large amount of spectrum resource. However, coexisting with wireless devices already existing in unlicensed spectrum (such as Wi-Fi) is a primary issue be solved effectively. This paper proposed two dynamic max TxOP (transmission opportunity) algorithms based on Q-learning and expected capacity while inheriting the application of LBT(Listen-before-Talk), CCA-ED(channel clear assessment-energy detection) and discontinuous transmission. Using this framework, both LTE and Wi-Fi adjust the maximum occupancy time based on current traffic load or expected capacity dynamically, in order to improve the two systems' performance by configuring the transmission opportunity more reasonablely. Simulation results also show that the proposed approaches can enhance throughput and fairness significantly under both low and high traffic load, proving that the proposed dynamic TxOP algorithms offer new possibilities for better coexistence performance in LAA system.
Year
Venue
Keywords
2016
2016 8TH INTERNATIONAL CONFERENCE ON WIRELESS COMMUNICATIONS & SIGNAL PROCESSING (WCSP)
unlicensed band, LAA system, LBT, dynamic TxOP, Q-learning, expected capacity
Field
DocType
ISSN
Spectrum management,Wireless,Traffic load,Computer science,Computer network,Communication channel,Algorithm,Transmission opportunity,Discontinuous transmission,Throughput,Data as a service
Conference
2325-3746
Citations 
PageRank 
References 
0
0.34
0
Authors
5
Name
Order
Citations
PageRank
Jiuxu Xu100.34
Yuehong Gao27915.28
Yue Liu320.71
Xin Zhang44610.55
Pengxiang Li562.53