IEICE TRANSACTIONS on Communications
Compressed Sensing Based Power Allocation and User Selection with Adaptive Resource Block Selection for Downlink NOMA Systems
Summary :
The application of compressed sensing (CS) theory to non-orthogonal multiple access (NOMA) systems has been investigated recently. As described in this paper, we propose a quality-of-service (QoS)-aware, low-complexity, CS-based user selection and power allocation scheme with adaptive resource block selection for downlink NOMA systems, where the tolerable interference threshold is designed mathematically to achieve a given QoS requirement by being relaxed to a constrained l1 norm optimization problem. The proposed scheme adopts two adaptive resource block (RB) selection algorithms that assign proper RB to user pairs, i.e. max-min channel assignment and two-step opportunistic channel assignment. Simulation results show that the proposed scheme is more effective at improving the user rate than other reference schemes while reducing the required complexity. The QoS requirement is approximately satisfied as long as the required QoS value is feasible.
- Publication
- IEICE TRANSACTIONS on Communications Vol.E105-B No.8 pp.959-968
- Publication Date
- 2022/08/01
- Publicized
- 2022/02/18
- Online ISSN
- 1745-1345
- DOI
- 10.1587/transcom.2021EBP3173
- Type of Manuscript
- PAPER
- Category
- Wireless Communication Technologies
Authors
Tomofumi MAKITA
Kyushu University
Osamu MUTA
Kyushu University
Keyword
Latest Issue
Copyrights notice of machine-translated contents
The copyright of the original papers published on this site belongs to IEICE. Unauthorized use of the original or translated papers is prohibited. See IEICE Provisions on Copyright for details.
Cite this
Copy
Tomofumi MAKITA, Osamu MUTA, "Compressed Sensing Based Power Allocation and User Selection with Adaptive Resource Block Selection for Downlink NOMA Systems" in IEICE TRANSACTIONS on Communications,
vol. E105-B, no. 8, pp. 959-968, August 2022, doi: 10.1587/transcom.2021EBP3173.
Abstract: The application of compressed sensing (CS) theory to non-orthogonal multiple access (NOMA) systems has been investigated recently. As described in this paper, we propose a quality-of-service (QoS)-aware, low-complexity, CS-based user selection and power allocation scheme with adaptive resource block selection for downlink NOMA systems, where the tolerable interference threshold is designed mathematically to achieve a given QoS requirement by being relaxed to a constrained l1 norm optimization problem. The proposed scheme adopts two adaptive resource block (RB) selection algorithms that assign proper RB to user pairs, i.e. max-min channel assignment and two-step opportunistic channel assignment. Simulation results show that the proposed scheme is more effective at improving the user rate than other reference schemes while reducing the required complexity. The QoS requirement is approximately satisfied as long as the required QoS value is feasible.
URL: https://global.ieice.org/en_transactions/communications/10.1587/transcom.2021EBP3173/_p
Copy
@ARTICLE{e105-b_8_959,
author={Tomofumi MAKITA, Osamu MUTA, },
journal={IEICE TRANSACTIONS on Communications},
title={Compressed Sensing Based Power Allocation and User Selection with Adaptive Resource Block Selection for Downlink NOMA Systems},
year={2022},
volume={E105-B},
number={8},
pages={959-968},
abstract={The application of compressed sensing (CS) theory to non-orthogonal multiple access (NOMA) systems has been investigated recently. As described in this paper, we propose a quality-of-service (QoS)-aware, low-complexity, CS-based user selection and power allocation scheme with adaptive resource block selection for downlink NOMA systems, where the tolerable interference threshold is designed mathematically to achieve a given QoS requirement by being relaxed to a constrained l1 norm optimization problem. The proposed scheme adopts two adaptive resource block (RB) selection algorithms that assign proper RB to user pairs, i.e. max-min channel assignment and two-step opportunistic channel assignment. Simulation results show that the proposed scheme is more effective at improving the user rate than other reference schemes while reducing the required complexity. The QoS requirement is approximately satisfied as long as the required QoS value is feasible.},
keywords={},
doi={10.1587/transcom.2021EBP3173},
ISSN={1745-1345},
month={August},}
Copy
TY - JOUR
TI - Compressed Sensing Based Power Allocation and User Selection with Adaptive Resource Block Selection for Downlink NOMA Systems
T2 - IEICE TRANSACTIONS on Communications
SP - 959
EP - 968
AU - Tomofumi MAKITA
AU - Osamu MUTA
PY - 2022
DO - 10.1587/transcom.2021EBP3173
JO - IEICE TRANSACTIONS on Communications
SN - 1745-1345
VL - E105-B
IS - 8
JA - IEICE TRANSACTIONS on Communications
Y1 - August 2022
AB - The application of compressed sensing (CS) theory to non-orthogonal multiple access (NOMA) systems has been investigated recently. As described in this paper, we propose a quality-of-service (QoS)-aware, low-complexity, CS-based user selection and power allocation scheme with adaptive resource block selection for downlink NOMA systems, where the tolerable interference threshold is designed mathematically to achieve a given QoS requirement by being relaxed to a constrained l1 norm optimization problem. The proposed scheme adopts two adaptive resource block (RB) selection algorithms that assign proper RB to user pairs, i.e. max-min channel assignment and two-step opportunistic channel assignment. Simulation results show that the proposed scheme is more effective at improving the user rate than other reference schemes while reducing the required complexity. The QoS requirement is approximately satisfied as long as the required QoS value is feasible.
ER -
English
