Open AccessDynamic resource allocation for uplink non‐orthogonal multiple access systems
Author(s) -
Lv Guocheng,
Li Xunan,
Shang Ruibo,
Xue Ping,
Jin Ye
Publication year - 2018
Publication title -
iet communications
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.355
H-Index - 62
eISSN - 1751-8636
pISSN - 1751-8628
DOI - 10.1049/iet-com.2017.0972
Subject(s) - subcarrier , telecommunications link , computer science , resource allocation , mathematical optimization , transmitter power output , noma , single antenna interference cancellation , benchmark (surveying) , multiplexing , upper and lower bounds , interference (communication) , orthogonal frequency division multiplexing , computer network , mathematics , algorithm , telecommunications , transmitter , decoding methods , channel (broadcasting) , mathematical analysis , geodesy , geography
This study investigates a problem of resource allocation for an uplink multi‐carrier non‐orthogonal multiple access (NOMA) system. To provide a general resource allocation problem, the order of successive interference cancellation (SIC), subcarrier assignment and power allocation are all considered as the optimisation variables of interest, with the objective of maximising the weighted sum rate under the transmit power constraint of each user equipment (UE). Firstly, a novel optimal SIC order is proposed based on the inherent structure of the uplink NOMA system. Then, with the optimal SIC order, the Lagrange dual method is employed to solve the joint subcarrier assignment and power allocation problem in an asymptotically optimal manner. In addition, an optimal solution of power allocation with a fixed subcarrier assignment is presented. In light of the optimal power allocation, a tight upper bound of the uplink NOMA system is developed by relaxing the number of multiplexed UEs on each subcarrier. Simulation results show that the proposed algorithm outperforms conventional orthogonal multiple access schemes and other static NOMA schemes, and as a benchmark, the upper bound reveals that multiplexing at most two UEs on each subcarrier is sufficient for the performance improvement.