TY - GEN
T1 - QoS-aware Low-complexity User Pairing Based on Compressed Sensing in Downlink NOMA
AU - Makita, Tomofumi
AU - Muta, Osamu
N1 - Funding Information:
ACKNOWLEDGMENT This work has been supported in part by the Support Center for Advanced Telecommunications Technology Research Foundation.
Publisher Copyright:
© 2021 IEEE.
PY - 2021
Y1 - 2021
N2 - The application of compressed sensing (CS) based techniques to non-orthogonal multiple access (NOMA) systems has been investigated recently. In this paper, we propose a quality-of-service (QoS) aware low complexity CS-based user pairing and power allocation scheme for downlink NOMA systems, where the tolerable interference threshold is mathematically designed to achieve a given QoS requirement so that user pairing and power allocation problem is relaxed to l1 norm optimization problem under a QoS constraint based on the tolerable interference threshold. Simulation results show that the proposed scheme is effective in improving user rate compared with other reference schemes while the QoS requirement is approximately satisfied as long as the required QoS value is feasible.
AB - The application of compressed sensing (CS) based techniques to non-orthogonal multiple access (NOMA) systems has been investigated recently. In this paper, we propose a quality-of-service (QoS) aware low complexity CS-based user pairing and power allocation scheme for downlink NOMA systems, where the tolerable interference threshold is mathematically designed to achieve a given QoS requirement so that user pairing and power allocation problem is relaxed to l1 norm optimization problem under a QoS constraint based on the tolerable interference threshold. Simulation results show that the proposed scheme is effective in improving user rate compared with other reference schemes while the QoS requirement is approximately satisfied as long as the required QoS value is feasible.
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U2 - 10.1109/VTC2021-Fall52928.2021.9625166
DO - 10.1109/VTC2021-Fall52928.2021.9625166
M3 - Conference contribution
AN - SCOPUS:85122979402
T3 - IEEE Vehicular Technology Conference
BT - 2021 IEEE 94th Vehicular Technology Conference, VTC 2021-Fall - Proceedings
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 94th IEEE Vehicular Technology Conference, VTC 2021-Fall
Y2 - 27 September 2021 through 30 September 2021
ER -