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Power allocation and temporal fair user group scheduling for downlink NOMA

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Abstract

Non-Orthogonal Multiple Access (NOMA) has been proposed as a new radio access technique for cellular networks as an alternative to OMA (Orthogonal Multiple Access) in which the users of a group (pairs or triples of users in a group are considered in this paper) are allowed to use the wireless channel simultaneously. In this paper, for downlink single-input single-output SISO-NOMA, a heuristic power allocation algorithm within a group is first proposed which attempts to ensure that the users of a group benefit from simultaneous transmission equally in terms of achievable throughput. Moreover, a user group scheduling algorithm is proposed for downlink NOMA systems by which a user group is to be dynamically selected for transmission while satisfying long term temporal fairness among the individual contending users. The effectiveness of the proposed power allocation method along with the temporal fair scheduling algorithm for downlink NOMA is validated with simulations and the performance impact of the transmit power and the coverage radius of the base station as well as the number of users are thoroughly studied.

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References

  1. Agiwal, M., Roy, A., & Saxena, N. (2016). Next generation 5G wireless networks: A comprehensive survey. IEEE Communications Surveys & Tutorials, 18(3), 1617–1655.

    Article  Google Scholar 

  2. Al-Abbasi, Z.Q., & So, D.K. (2016). User-pairing based non-orthogonal multiple access (noma) system. In 2016 IEEE 83rd vehicular technology conference (VTC Spring), IEEE, pp 1–5.

  3. Aldababsa, M., Toka, M., Gokçeli, S., Kurt, G. K., & Kucur, O. (2018). A tutorial on nonorthogonal multiple access for 5G and beyond. Wireless Communications and Mobile Computing,. https://doi.org/10.1155/2018/9713450.

    Article  Google Scholar 

  4. Ali, M. S., Tabassum, H., & Hossain, E. (2016). Dynamic user clustering and power allocation for uplink and downlink non-orthogonal multiple access (noma) systems. IEEE Access, 4, 6325–6343.

    Google Scholar 

  5. Andrews, M., & Zhang, L. (2011). Scheduling algorithms for multicarrier wireless data systems. IEEE/ACM Transactions on Networking, 19(2), 447–455.

    Article  Google Scholar 

  6. Boccardi, F., Heath, R. W., Lozano, A., Marzetta, T. L., & Popovski, P. (2014). Five disruptive technology directions for 5G. IEEE Communications Magazine, 52(2), 74–80.

    Article  Google Scholar 

  7. Borgia, E., Bruno, R., Conti, M., Mascitti, D., & Passarella, A. (2016). Mobile edge clouds for information-centric IoT services. In 2016 IEEE Symposium on Computers and Communication (ISCC), IEEE, pp 422–428.

  8. Choi, J. (2016). Power allocation for max-sum rate and max-min rate proportional fairness in NOMA. IEEE Communications Letters, 20(10), 2055–2058.

    Article  Google Scholar 

  9. Cisco. (2017). Cisco visual networking index: Global mobile data traffic forecast update, 2016–2021 white paper.

  10. Cui, J., Ding, Z., & Fan, P. (2016). A novel power allocation scheme under outage constraints in NOMA systems. IEEE Signal Processing Letters, 23(9), 1226–1230.

    Article  Google Scholar 

  11. Dai, L., Wang, B., Ding, Z., Wang, Z., Chen, S., & Hanzo, L. (2018). A survey of non-orthogonal multiple access for 5G. IEEE Communications Surveys Tutorials, 20, 2294.

    Article  Google Scholar 

  12. Ding, Z., Lei, X., Karagiannidis, G.K., Schober, R., Yuan, J., & Bhargava, V. (2017). A survey on non-orthogonal multiple access for 5G networks: Research challenges and future trends. arXiv preprint arXiv:170605347.

  13. Fang, F., Zhang, H., Cheng, J., Roy, S., & Leung, V. C. (2017). Joint user scheduling and power allocation optimization for energy-efficient NOMA systems with imperfect CSI. IEEE Journal on Selected Areas in Communications, 35(12), 2874–2885.

    Article  Google Scholar 

  14. Islam, S. M. R., Avazov, N., Dobre, O. A., & Kwak, K. (2017). Power-domain non-orthogonal multiple access (NOMA) in 5G systems: Potentials and challenges. IEEE Communications Surveys Tutorials, 19(2), 721–742.

    Article  Google Scholar 

  15. Jain, R. (1991). The art of computer systems performance analysis-techniques for experimental design, measurement, simulation, modeling. Hoboken: Wiley.

    Google Scholar 

  16. Jalali, A., Padovani, R., & Pankaj, R. (2000). Data throughput of CDMA-HDR a high efficiency-high data rate personal communication wireless system. In VTC2000-Spring. 2000 IEEE 51st Vehicular Technology Conference Proceedings, 3, 1854–1858.

  17. Lei, L., Yuan, D., & Värbrand, P. (2016). On power minimization for non-orthogonal multiple access (NOMA). IEEE Communications Letters, 20(12), 2458–2461.

    Article  Google Scholar 

  18. Li, A., Benjebbour, A., & Harada, A. (2014). Performance evaluation of non-orthogonal multiple access combined with opportunistic beamforming. In Vehicular Technology Conference (VTC Spring), 2014 IEEE 79th, IEEE, pp 1–5.

  19. Liu, F., & Petrova, M. (2017). Proportional fair scheduling for downlink single-carrier NOMA systems. In GLOBECOM 2017–2017 IEEE Global Communications Conference, pp 1–7.

  20. Liu, X., Chong, E. K. P., & Shroff, N. B. (2001). Opportunistic transmission scheduling with resource-sharing constraints in wireless networks. IEEE Journal on Selected Areas in Communications, 19(10), 2053–2064.

    Article  Google Scholar 

  21. Liu, X., Chong, E. K., & Shroff, N. B. (2003). A framework for opportunistic scheduling in wireless networks. Computer Networks, 41(4), 451–474.

    Article  Google Scholar 

  22. Morgado, A., Huq, K. M. S., Mumtaz, S., & Rodriguez, J. (2018). A survey of 5G technologies: Regulatory, standardization and industrial perspectives. Digital Communications and Networks, 4(2), 87–97.

    Article  Google Scholar 

  23. Oviedo, J. A., & Sadjadpour, H. R. (2017). A fair power allocation approach to NOMA in multiuser SISO systems. IEEE Transactions on Vehicular Technology, 66(9), 7974–7985.

    Article  Google Scholar 

  24. Parida, P., & Das, SS. (2014). Power allocation in OFDM based NOMA systems: A DC programming approach. In 2014 IEEE Globecom Workshops (GC Wkshps), IEEE, pp 1026–1031.

  25. Saito, Y., Kishiyama, Y., Benjebbour, A., Nakamura, T., Li, A., & Higuchi, K. (2013). Non-orthogonal multiple access (NOMA) for cellular future radio access. In Vehicular Technology Conference (VTC Spring), 2013 IEEE 77th, IEEE, pp 1–5.

  26. Shahab, M. B., Irfan, M., Kader, M. F., & Young Shin, S. (2016a). User pairing schemes for capacity maximization in non-orthogonal multiple access systems. Wireless Communications and Mobile Computing, 16(17), 2884–2894.

    Article  Google Scholar 

  27. Shahab, M. B., Kader, M. F., & Shin, S. Y. (2016b). A virtual user pairing scheme to optimally utilize the spectrum of unpaired users in non-orthogonal multiple access. IEEE Signal Processing Letters, 23(12), 1766–1770.

    Article  Google Scholar 

  28. Shahsavari, S. (2019). Access, resource allocation, and performance analysis in next generation wireless networks. PhD thesis, New York University Tandon School of Engineering.

  29. Shahsavari, S., & Akar, N. (2015). A two-level temporal fair scheduler for multi-cell wireless networks. IEEE Wireless Communications Letters, 4(3), 269–272.

    Article  Google Scholar 

  30. Shahsavari, S., Akar, N., & Hossein, B. (2018). Joint cell muting and user scheduling in multicell networks with temporal fairness. Mobile Communications and Wireless Networking,. https://doi.org/10.1155/2018/4846291.

    Article  Google Scholar 

  31. Shahsavari, S., Shirani, F., & Erkip, E. (2018). Opportunistic temporal fair scheduling for non-orthogonal multiple access. In 2018 56th Annual Allerton conference on communication, control, and computing (Allerton), pp 391–398.

  32. Shahsavari, S., Shirani, F., Amir Khojastepour, MA., & Erkip, E. (2019a). Opportunistic temporal fair mode selection and user scheduling for full-duplex systems. In 2019 IEEE 30th international symposium on personal, indoor and mobile radio communications (PIMRC Workshops), pp 1–7.

  33. Shahsavari, S., Shirani, F., & Erkip, E. (2019b). A general framework for temporal fair user scheduling in NOMA systems. IEEE Journal of Selected Topics in Signal Processing, 13(3), 408–422.

    Article  Google Scholar 

  34. Shahsavari, S., Shirani, F., & Erkip, E. (2019c). On the fundamental limits of multi-user scheduling under short-term fairness constraints. In 2019 IEEE international symposium on information theory (ISIT), pp 2534–2538.

  35. Tassiulas, L., & Ephremides, A. (1992). Stability properties of constrained queueing systems and scheduling policies for maximum throughput in multihop radio networks. IEEE Transactions on Automatic Control, 37(12), 1936–1948.

    Article  Google Scholar 

  36. Tse, D., & Viswanath, P. (2005). Fundamentals of Wireless Communication. New York, NY, USA: Cambridge University Press.

    Book  Google Scholar 

  37. Xin Liu, Chong, EKP., & Shroff, NB. (2001). Transmission scheduling for efficient wireless utilization. In Proceedings IEEE INFOCOM 2001. Conference on Computer Communications. Twentieth Annual Joint Conference of the IEEE Computer and Communications Society, vol 2, pp 776–785.

  38. Yang, L., Chen, J., Ni, Q., Shi, J., & Xue, X. (2017). NOMA-enabled cooperative unicast-multicast: Design and outage analysis. IEEE Transactions on Wireless Communications, 16(12), 7870–7889.

    Article  Google Scholar 

  39. Yang, Z., Xu, W., Pan, C., Pan, Y., & Chen, M. (2017). On the optimality of power allocation for NOMA downlinks with individual QoS constraints. IEEE Communications Letters, 21(7), 1649–1652.

    Article  Google Scholar 

  40. Zeng, M., Yadav, A., Dobre, O. A., Tsiropoulos, G. I., & Poor, H. V. (2017). Capacity comparison between MIMO-NOMA and MIMO-OMA with multiple users in a cluster. IEEE Journal on Selected Areas in Communications, 35(10), 2413–2424.

    Article  Google Scholar 

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Correspondence to Nail Akar.

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Erturk, E., Yildiz, O., Shahsavari, S. et al. Power allocation and temporal fair user group scheduling for downlink NOMA. Telecommun Syst 77, 753–766 (2021). https://doi.org/10.1007/s11235-021-00786-x

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