DNN-based algorithm for joint SIC ordering and power allocation in downlink NOMA-enabled heterogeneous networks
In the heterogeneous network (HetNet) employing downlink non-orthogonal multiple access (NOMA), we focus on the non-convex optimization problem to optimize the spectral efficiency (SE) while the users satisfy the quality-of-service (QoS) requirement. In the previous work, the optimal joint successiv...
Saved in:
| Main Authors: | , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2024-12-01
|
| Series: | ICT Express |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2405959524000754 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1846129536143458304 |
|---|---|
| author | Donghyeon Kim Jung-Bin Kim Haejoon Jung In-Ho Lee |
| author_facet | Donghyeon Kim Jung-Bin Kim Haejoon Jung In-Ho Lee |
| author_sort | Donghyeon Kim |
| collection | DOAJ |
| description | In the heterogeneous network (HetNet) employing downlink non-orthogonal multiple access (NOMA), we focus on the non-convex optimization problem to optimize the spectral efficiency (SE) while the users satisfy the quality-of-service (QoS) requirement. In the previous work, the optimal joint successive interference cancellation and power allocation (JSPA) algorithm for maximizing SE is proposed to solve the mixed-integer non-linear programming (MINLP) problem in NOMA-enabled HetNet. However, the optimal solution requires exponential complexity by the number of base stations (BSs). Therefore, we present a deep neural network (DNN)-based algorithm for JSPA to reduce the complexity. In particular, to deal with the MINLP-based JSPA problem, we reformulate it into an equivalently simple problem that optimizes only the power consumption of BSs. Then, we introduce the unsupervised DNN-based method for JSPA to handle the simplified problem. The presented scheme yields improved SE and outage performance compared with traditional DNN-based methods. Additionally, we propose a user selection scheme with low complexity to enhance the SE of the proposed DNN-based power allocation. Through simulations, we illustrate that the suggested DNN-based scheme can attain SE performance similar to that of the optimal scheme. |
| format | Article |
| id | doaj-art-65da6be8fe8d4abea5f072f1566b0e6d |
| institution | Kabale University |
| issn | 2405-9595 |
| language | English |
| publishDate | 2024-12-01 |
| publisher | Elsevier |
| record_format | Article |
| series | ICT Express |
| spelling | doaj-art-65da6be8fe8d4abea5f072f1566b0e6d2024-12-10T04:14:22ZengElsevierICT Express2405-95952024-12-0110613011307DNN-based algorithm for joint SIC ordering and power allocation in downlink NOMA-enabled heterogeneous networksDonghyeon Kim0Jung-Bin Kim1Haejoon Jung2In-Ho Lee3Department of Electronics and Information Convergence Engineering, Kyung Hee University, Yongin, 17104, Republic of KoreaTerrestrial & Non-Terrestrial Integrated Telecommunications Research Laboratory, ETRI, Daejeon, 34129, Republic of KoreaDepartment of Electronics and Information Convergence Engineering, Kyung Hee University, Yongin, 17104, Republic of Korea; Corresponding authors.School of Electronic and Electrical Engineering, Hankyong National University, Anseong, 17579, Republic of Korea; Corresponding authors.In the heterogeneous network (HetNet) employing downlink non-orthogonal multiple access (NOMA), we focus on the non-convex optimization problem to optimize the spectral efficiency (SE) while the users satisfy the quality-of-service (QoS) requirement. In the previous work, the optimal joint successive interference cancellation and power allocation (JSPA) algorithm for maximizing SE is proposed to solve the mixed-integer non-linear programming (MINLP) problem in NOMA-enabled HetNet. However, the optimal solution requires exponential complexity by the number of base stations (BSs). Therefore, we present a deep neural network (DNN)-based algorithm for JSPA to reduce the complexity. In particular, to deal with the MINLP-based JSPA problem, we reformulate it into an equivalently simple problem that optimizes only the power consumption of BSs. Then, we introduce the unsupervised DNN-based method for JSPA to handle the simplified problem. The presented scheme yields improved SE and outage performance compared with traditional DNN-based methods. Additionally, we propose a user selection scheme with low complexity to enhance the SE of the proposed DNN-based power allocation. Through simulations, we illustrate that the suggested DNN-based scheme can attain SE performance similar to that of the optimal scheme.http://www.sciencedirect.com/science/article/pii/S2405959524000754Non-orthogonal multiple accessHeterogeneous networkDeep learningSuccessive interference cancellationPower allocationSpectral efficiency |
| spellingShingle | Donghyeon Kim Jung-Bin Kim Haejoon Jung In-Ho Lee DNN-based algorithm for joint SIC ordering and power allocation in downlink NOMA-enabled heterogeneous networks ICT Express Non-orthogonal multiple access Heterogeneous network Deep learning Successive interference cancellation Power allocation Spectral efficiency |
| title | DNN-based algorithm for joint SIC ordering and power allocation in downlink NOMA-enabled heterogeneous networks |
| title_full | DNN-based algorithm for joint SIC ordering and power allocation in downlink NOMA-enabled heterogeneous networks |
| title_fullStr | DNN-based algorithm for joint SIC ordering and power allocation in downlink NOMA-enabled heterogeneous networks |
| title_full_unstemmed | DNN-based algorithm for joint SIC ordering and power allocation in downlink NOMA-enabled heterogeneous networks |
| title_short | DNN-based algorithm for joint SIC ordering and power allocation in downlink NOMA-enabled heterogeneous networks |
| title_sort | dnn based algorithm for joint sic ordering and power allocation in downlink noma enabled heterogeneous networks |
| topic | Non-orthogonal multiple access Heterogeneous network Deep learning Successive interference cancellation Power allocation Spectral efficiency |
| url | http://www.sciencedirect.com/science/article/pii/S2405959524000754 |
| work_keys_str_mv | AT donghyeonkim dnnbasedalgorithmforjointsicorderingandpowerallocationindownlinknomaenabledheterogeneousnetworks AT jungbinkim dnnbasedalgorithmforjointsicorderingandpowerallocationindownlinknomaenabledheterogeneousnetworks AT haejoonjung dnnbasedalgorithmforjointsicorderingandpowerallocationindownlinknomaenabledheterogeneousnetworks AT inholee dnnbasedalgorithmforjointsicorderingandpowerallocationindownlinknomaenabledheterogeneousnetworks |