NOMA-Relevant Clustering and Resource Allocation for Proportional Fair Uplink Communications

This letter focuses on clustering and resource block (RB) allocation in multi-carrier uplink networks using power-domain non orthogonal multiple access (PD-NOMA). The optimization objective is time-based proportional fairness. PD-NOMA is applied per frame and RB only if the achieved individual data rates are larger with PD-NOMA than with time division multiple access. The clustering algorithm recursively uses maximum weight matching to build clusters per RB. Given the clusters, RB allocation is then optimal. The proposed algorithm provides a good trade-off between reduced overall network latency and rate improvement compared to two reference algorithms.

[1]  Ekram Hossain,et al.  Dynamic User Clustering and Power Allocation for Uplink and Downlink Non-Orthogonal Multiple Access (NOMA) Systems , 2016, IEEE Access.

[2]  Marina Petrova,et al.  Proportional fairness-based user pairing and power allocation for non-orthogonal multiple access , 2015, 2015 IEEE 26th Annual International Symposium on Personal, Indoor, and Mobile Radio Communications (PIMRC).

[3]  Jose Armando Oviedo,et al.  A Fair Power Allocation Approach to NOMA in Multiuser SISO Systems , 2017, IEEE Transactions on Vehicular Technology.

[4]  Anass Benjebbour,et al.  Multi-User Proportional Fair Scheduling for Uplink Non-Orthogonal Multiple Access (NOMA) , 2014, 2014 IEEE 79th Vehicular Technology Conference (VTC Spring).

[5]  ZVI GALIL,et al.  Efficient algorithms for finding maximum matching in graphs , 1986, CSUR.

[6]  Mohamed-Slim Alouini,et al.  Resource Allocation and Cluster Formation for Imperfect NOMA in DL/UL Decoupled HetNets , 2017, 2017 IEEE Globecom Workshops (GC Wkshps).

[7]  Ralf R. Müller,et al.  On User Pairing in Uplink NOMA , 2018, IEEE Transactions on Wireless Communications.

[8]  George K. Karagiannidis,et al.  A Survey on Non-Orthogonal Multiple Access for 5G Networks: Research Challenges and Future Trends , 2017, IEEE Journal on Selected Areas in Communications.