Abstract
In order to meet the ever-increasing data rate demands of future mobile networks, LTE in the unlicensed band (LTE-U) has been proposed in which LTE is operated on the unlicensed spectrum along with the incumbent unlicensed spectrum technologies e.g. Wi-Fi However, enabling LTE-U with the Wi-Fi network in the same unlicensed spectrum results in severe Wi-Fi performance degradations. This paper addressed such coexistence problem of Wi-Fi and LTE-U, by formulating a chance-constrained optimization problem such as to maintain certain Wi-Fi performance. In the first step, unlicensed spectrum is shared among Wi-Fi and LTE-U by adjusting the so-called duty-cycle according to the random Wi-Fi performance. Secondly, the LTE-U user association is performed through knapsack problem to efficiently utilize the available LTE-U duty-cycle. Simulations results show that the proposed algorithm provides fairness to the Wi-Fi system by adjusting the LTE-U duty-cycle.
Original language | English |
---|---|
Title of host publication | 33rd International Conference on Information Networking, ICOIN 2019 |
Publisher | IEEE Computer Society |
Pages | 268-273 |
Number of pages | 6 |
ISBN (Electronic) | 9781538683507 |
DOIs | |
Publication status | Published - 17 May 2019 |
Event | 33rd International Conference on Information Networking, ICOIN 2019 - Kuala Lumpur, Malaysia Duration: 9 Jan 2019 → 11 Jan 2019 |
Publication series
Name | International Conference on Information Networking |
---|---|
Volume | 2019-January |
ISSN (Print) | 1976-7684 |
Conference
Conference | 33rd International Conference on Information Networking, ICOIN 2019 |
---|---|
Country/Territory | Malaysia |
City | Kuala Lumpur |
Period | 9/01/19 → 11/01/19 |
Bibliographical note
Publisher Copyright:© 2019 IEEE.
Keywords
- Chance-Constrained Optimization
- LTE-U
- Wi-Fi Fairness
- knapsack Optimization