A General Power Allocation Scheme to Guarantee Quality of Service in Downlink and Uplink NOMA Systems

By Zhengju Yang, Zhiguo Ding, P. Fan, Naofal Al-Dhahir. IEEE Transactions on Wireless Communications, 2016

517 citations recorded by the source corpus.

Subfields: Electrical and Electronic Engineering

View Paper: https://www.semanticscholar.org/paper/83e1328c1a8c67854706e88efa226258e3142c3b

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In Electrical and Electronic Engineering

Citations in the corpus

A Survey of Rate-Optimal Power Domain NOMA With Enabling Technologies of Future Wireless Networks (2019, background): “For practical reasons [60], both users need to have some sort of cooperation to transmit both signals under a total transmit power constraint.”
Grant-Free Non-Orthogonal Multiple Access for IoT: A Survey (2019, background): “SIC based MUD at the receiver is achieved by exploiting the received power difference [105]– [109].”
A Survey of NOMA: Current Status and Open Research Challenges (2019, unknown): “[19], [20], [21], [22] and UL [21], [22], [23], [24], to incorporate the typical data transmission methods such as hybrid automatic repeat request (HARQ) to the cases using”
Resource Allocation for Downlink NOMA Systems: Key Techniques and Open Issues (2017, background): “To overcome this issue, dynamic PA is proposed in [16], which allocates power to users such that the individual user rate achieved by NOMA is strictly larger than that provided by OMA.”
Exploiting Intelligent Reflecting Surfaces in NOMA Networks: Joint Beamforming Optimization (2019, methodology): “A dynamic power allocation scheme (D-NOMA) for both downlink and uplink transmission was proposed by Yang et al. [16] while satisfying different users’ quality of service (QoS) requirements, which demonstrated that D-NOMA outperforms F-NOMA and CR-NOMA in terms of communication rate and fairness.”
A Survey on Non-Orthogonal Multiple Access for 5G Networks: Research Challenges and Future Trends (2017, background): “In [29], a more general cognitive radio inspired power allocation policy is proposed for downlink and uplink NOMA scenarios, in order to meet all users’ QoS requirements in a more ﬂexible manner.”
Capacity Comparison Between MIMO-NOMA and MIMO-OMA With Multiple Users in a Cluster (2017, background): “3 and 4 compare the Jain’s fairness index (JFI) [16] of MIMO-NOMA and MIMO-OMA when there are two and three users in a cluster, respectively.”