DM-CSAT: a LTE-U/Wi-Fi coexistence solution based on reinforcement learning
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Recent literature demonstrated promising results of Long-Term Evolution (LTE) deployments over unlicensed bands when coexisting with Wi-Fi networks via the Duty-Cycle (DC) approach. However, it is known that performance in coexistence is strongly dependent on traffic patterns and on the duty-cycle ON–OFF rate of LTE. Most DC solutions rely on static coexistence parameters configuration, hence real-life performance in dynamically varying scenarios might be affected. Advanced reinforcement learning techniques may be used to adjust DC parameters towards efficient coexistence, and we propose a Q-learning Carrier-Sensing Adaptive Transmission mechanism which adapts LTE duty-cycle ON–OFF time ratio to the transmitted data rate, aiming at maximizing the Wi-Fi and LTE-Unlicensed (LTE-U) aggregated throughput. The problem is formulated as a Markov decision process, and the Q-learning solution for finding the best LTE-U ON–OFF time ratio is based on the Bellman’s equation. We evaluate the performance of the proposed solution for different traffic load scenarios using the ns-3 simulator. Results demonstrate the benefits from the adaptability to changing circumstances of the proposed method in terms of Wi-Fi/LTE aggregated throughput, as well as achieving a fair coexistence.
KeywordsLTE LTE-LAA LTE-U Wi-Fi Q-Learning
- 1.GSA, LTE in unlicensed spectrum: Trials, deployments and devices. Technical report, Global Mobile Suppliers Association (2018).Google Scholar
- 3.Qualcomm. (2014). Qualcomm research LTE in unlicensed spectrum: Harmonious coexistence with Wi-Fi. Technical report, Alcatel-Lucent, Ericsson, Qualcomm Technologies. https://HrBwww.qualcomm.com/documents/lte-unlicensed-coexistence-whiHrBtepaper. Accessed 27 Dec 2018.
- 4.3GPP. (2015). TR 36.889: Feasibility study on licensed-assisted access to unlicensed spectrum (Release 13).Google Scholar
- 5.Almeida, E., Cavalcante, A. M., Paiva, R. C. D., Chaves, F. S., Abinader, F. M., Vieira, R. D., Choudhury, S., Tuomaala, E., & Doppler, K. (2013). In IEEE ICC 2013. https://doi.org/10.1109/ICC.2013.6655388.
- 6.Qualcomm. (2016). Multefire: LTE-like performance with Wi-Fi-like deployment simplicity. https://www.qualcomm.com/invention/technologies/lte/multefire. Accessed 27 Dec 2018.
- 7.Alliance, C. (2017). What is CBRS? LTE in 3.5 GHz shared spectrum and what it means for IoT. https://www.leverege.com/blogpost/what-is-cbrs-lte-3-5-ghz. Accessed 27 Dec 2018.
- 8.3GPP. (2016). Collaboration on LTE-LWAN integration. http://www.3gpp.org/news-events/3gpp-news/1771-wlan_lte. Accessed 27 Dec 2018.
- 9.3GPP. (2016). TR 36.300: LTE; evolved universal terrestrial radio access (e-utra) and evolved universal terrestrial radio access network (e-utran); overall description; stage 2 (Release 13).Google Scholar
- 10.3GPP. (2017). 3GPP Release 14. http://www.3gpp.org/release-14. Accessed 27 Dec 2018.
- 11.Sirotkin, S. (2016). LTE-WLAN aggregation (LWA): Benefits and deployment considerations. https://www.intel.com/content/dam/www/public/us/en/documents/white-papers/lte-wlan-aggregation-deployment-paper.pdf. Accessed 27 Dec 2018.
- 12.Levy, J. (2016). 802.11 discussions of inputs to 802 EC 5G SC. https://mentor.ieee.org/802.11/dcn/16/11-16-0651-01-0000-802-11-discussion-of-inputs-to-802-ec-5g-sc.pptx. Accessed 27 Dec 2018.
- 13.3GPP. (2017). 3GPP work item description: Inclusion of WLAN direct discovery technologies as an alternative for ProSe direct discovery. http://www.3gpp.org/ftp/tsg_ct/TSG_CT/TSGC_76_West_Palm_Beach/Docs/CP-171102.zip. Accessed 27 Dec 2018.
- 14.3GPP. (2017). 3GPP work item description: Complementary features for voice services over WLAN. http://www.3gpp.org/ftp/tsg_ct/TSG_CT/TSGC_76_West_Palm_Beach/Docs/CP-171101.zip. Accessed 27 Dec 2018.
- 16.Wang, X., Quek, T. Q. S., Sheng, M., & Li, J. (2016). Throughput and fairness analysis of Wi-Fi and LTE-U in unlicensed band. IEEE Journal on Selected Areas in Communications. https://doi.org/10.1109/jsac.2016.2632629.
- 17.Cano, C., & Leith, D. J. (2015). Coexistence of Wi-Fi and LTE in unlicensed bands: A proportional fair allocation scheme. https://doi.org/10.1109/iccw.2015.7247522.
- 19.Wi-Fi Alliance. (2016). Draft coexistence test plan—v0.8.4—alpha. Technical report. https://www.wi-fi.org/file/draft-coexistence-test-plan. Accessed 27 Dec 2018.
- 20.Pang, Y., Babaei, A., Andreoli-Fang, J., & Hamzeh, B. (2017). Wi-Fi coexistence with duty cycled LTE-U. Wireless Communications and Mobile Computing, 2017, 6486380.Google Scholar
- 21.Abdelfattah, A., & Malouch, N. (2016). Studying the impact of LTE-U on Wi-Fi downlink performance. In IEEE 12th international conference on wireless and mobile computing, networking and communications (WiMob).Google Scholar
- 22.Andreoli-Fang, J. (2015). Wi-Fi versus duty cycled LTE-U: in-home testing reveals coexistence challenges. Technical report, Cable Labs. https://www.cablelabs.com/vran-over-docsis-cablelabs-making-reality. Accessed 27 Dec 2018.
- 23.C.T. de Telecomunicacions de Catalunya. (2017). SpiderCloud and CTTC model LTE-U performance advancements (CTTC Newsroom). http://www.cttc.es/spidercloud-and-cttc-model-lte-u-performance-advancements/. Accessed 27 Dec 2018.
- 24.Gao, Y., Chu, X., & Zhang, J. (2016). Performance analysis of LAA and WiFi coexistence in unlicensed spectrum based on markov chain. In IEEE GLOBECOM. https://doi.org/10.1109/GLOCOM.2016.7842129.
- 25.Cano, C., Leith, D. J., Garcia-Saavedra, A., & Serrano, P. (2016). Fair coexistence of scheduled and random access wireless networks: Unlicensed LTE/WiFi. IEEE/ACM Transactions on Networking. https://doi.org/10.1109/TNET.2017.2731377.
- 26.Chen, B., Chen, J., Gao, Y., & Zhang, J. (2017). Coexistence of LTE-LAA and Wi-Fi on 5 GHz with corresponding deployment scenarios: A survey. IEEE Communications Surveys and Tutorials. https://doi.org/10.1109/COMST.2016.2593666.
- 27.El-Samadisy, O., Khedr, M., & El-Helw, A. (2016). Performance evaluation of MAC for IEEE 802.11 and LAA LTE. In International conference on computational science and computational intelligence. https://doi.org/10.1109/CSCI.2016.177.
- 28.Dama, S., Kumar, A., & Kuchi, K. (2015). Performance evaluation of LAA-LBT based LTE and WLANs co-existence in unlicensed spectrum. In Globecom workshops. https://doi.org/10.1109/GLOCOMW.2015.7414071.
- 29.Rupasinghe, N., & Guvenc, I. (2014). Licensed-assisted access for WiFi-LTE coexistence in the unlicensed spectrum. In Globecom workshops emerging technologies for 5G wireless cellular networks. ISBN 978-1-4799-7470-2/14.Google Scholar
- 30.Kwan, R., Pazhyannur, R., & Chandrasekhar, V. (2015). Fair co-existence of Licensed Assisted Access LTE (LAA-LTE) and Wi-Fi in unlicensed spectrum. In 7th CEEC. ISBN 978-1-4673-9481-9.Google Scholar
- 31.de Santana, P. M., Melo, V. D. D. L., & De Sousa, V. A., Jr. (2016). Performance of License Assisted Access solutions using ns-3. In CSCI. https://doi.org/10.1109/CSCI.2016.0181.
- 32.Maglogiannis, V., Naudts, D., Shahid, A., & Moerman, I. (2018). An adaptive LTE listen-before-talk scheme towards a fair coexistence with Wi-Fi in unlicensed spectrum. Telecommunication Systems. https://doi.org/10.1007/s11235-017-0418-9.
- 33.Galanopoulos, A., Foukalas, F., & Tsiftsis, T. A. (2016). Efficient coexistence of LTE with WiFi in the licensed and unlicensed spectrum aggregation. IEEE Transactions on Cognitive Communication and Networking. https://doi.org/10.1109/TCCN.2016.2594780.
- 34.Castane, A., Perez-Romero, & Sallent, O. (2017). On the implementation of channel selection for LTE in unlicensed bands using Q-learning and game theory algorithms. In Wireless communications and mobile computing conference. https://doi.org/10.1109/IWCMC.2017.7986438.
- 36.Rupasinghe, N., & Guvenc, I. (2015). Reinforcement learning for Licensed-Assisted Access of LTE in the unlicensed spectrum. In Wireless communications and networking conference.Google Scholar
- 39.Haykin, S. O. (2008). Neural networks and learning machines (3rd ed.). London: Pearson.Google Scholar
- 40.Bellman, R. E. (2010). Dynamic programming (1st ed.). Princeton: Princeton University Press.Google Scholar
- 41.Watkins, C. (1989). Learning from delayed rewards. Ph.D. thesis, University of Cambridge, London.Google Scholar
- 43.3GPP. (2015). Tr 36.814: Technical specification group radio access network; evolved universal terrestrial radio access (e-utra); further advancements for e-utra physical layer aspects (release 9).Google Scholar
- 44.Koenig, S., & Simmons, R. G. (1993). Complexity analysis of real-time reinforcement learning. In Proceedings of the 11th national conference on artificial intelligence.Google Scholar
- 45.Watkins, C. J., & Dayan, P. (1992). Technical note: Q-learning. Journal of Machine Learning, 8(3–4), 279.Google Scholar
- 46.ns-3. (2016). ns-3 website. https://www.nsnam.org/. Accessed 27 Dec 2018.
- 47.ns-3. (2016). ns-3 repositories. http://code.nsnam.org/. Accessed 27 Dec 2018.
- 48.ns-3. (2016). License-Assisted Access - ns-3 project. https://www.nsnam.org/wiki/LAA-WiFi-Coexistence. Accessed 27 Dec 2018.
- 49.ns-3. (2018). ns-3 app store. http://ns-apps.ee.washington.edu/. Accessed 27 Dec 2018.
- 50.3GPP. (2011). TS 36.423: LTE E-UTRAN X2 application protocol (X2AP), (Release 10).Google Scholar