Autors: Semov, P. T., Poulkov, V. K., Mihovska, A., Prasad, R.
Title: Increasing throughput and fairness for users in heterogeneous semi coordinated deployments
Keywords: carrier aggregation; Game theory; heterogeneous network; Q-learning

Abstract: Incorporation of the geographical positions of mobile users into the resource assignment process in uncoordinated heterogeneous cell deployments, can lead to significant improvements of cell and user throughputs. This paper proposes a novel algorithm that combines the knowledge of the users' positions with a Q-learning and game-theoretic approaches to enhance the dynamic physical resource allocation during carrier aggregation (CA) in a semi-and uncoordinated deployment of Heterogeneous Networks (HetNet). The algorithm is evaluated through MATLAB simulation setup and in terms of macro-and pico- cell and user throughputs. It has been shown that regardless of the approach chosen for physical resource assignment, positioning information increases the system and user performances. Use of Q-learning and positioning information leads to increased cell throughput without degrading the user experience. Application of a game theoretic approach for resource assignment leads to increased ..



    in Proceedings of IEEE Wireless Communications and Networking Conference Workshops (WCNCW), 6-9 April 2014, pp. 40-45, 2014, Turkey, DOI 10.1109/WCNCW.2014.6934858

    Copyright IEEE

    Цитирания (Citation/s):
    1. Bakht, K., Jameel, F., Ali, Z., Khan, W.U., Khan, I., Sardar Sidhu, G.A., Lee, J.W., "Power Allocation and User Assignment Scheme for beyond 5G Heterogeneous Networks", Wireless Communications and Mobile Computing, vol. 2019, 2019, DOI: 10.1155/2019/2472783. - 2019 - в издания, индексирани в Scopus или Web of Science
    2. Wang, X., Li, X., Leung, V.C.M., "Artificial intelligence-based techniques for emerging heterogeneous network: State of the arts, opportunities, and challenges", IEEE Access, vol. 3, pp. 1379-1391, 2015, DOI: 10.1109/ACCESS.2015.2467174. - 2015 - в издания, индексирани в Scopus или Web of Science
    3. Zhang, Y., Kan, C., Xu, K., Xu, Y., "Distributed carrier aggregation in small cell networks: A game-theoretic approach", KSII Transactions on Internet and Information Systems, vol. 9, no. 12, pp. 4799-4818, 2015, DOI: 10.3837/tiis.2015.12.004. - 2015 - в издания, индексирани в Scopus или Web of Science
    4. Bakht, K., Furqan, H.M., Ali, Z., Sidhu, G.A.S., "User Association Techniques in Future Heterogeneous Networks", Proceedings - 2017 International Conference on Frontiers of Information Technology, FIT 2017, vol. 2017-January, pp. 18-22, 2017, DOI: 10.1109/FIT.2017.00011. - 2017 - в издания, индексирани в Scopus или Web of Science
    5. Fu, W., Li, X., Ji, H., Zhang, H., "Optimal Access Points Selection Based on Mobility Prediction in Heterogeneous Small Cell Networks", 2018 IEEE/CIC International Conference on Communications in China, ICCC 2018, pp. 421-425, 2018, DOI: 10.1109/ICCChina.2018.8641237. - 2018 - в издания, индексирани в Scopus или Web of Science

    Вид: публикация в международен форум, публикация в реферирано издание, индексирана в Scopus и Web of Science