Improper Gaussian Signaling for Two-User MISO-NOMA Systems Considering Hardware Impairments and Imperfect SIC
In this paper, we study the advantages of improper Gaussian signaling (IGS) with the existence of hardware impairments (HWI) and imperfect successive interference cancellation (SIC) in the downlink two-user power-domain non-orthogonal multiple access (PD-NOMA) systems. We first provide the input-out...
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2023-01-01
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| author | Hao-Tse Chiu Fumiaki Maehara |
| author_facet | Hao-Tse Chiu Fumiaki Maehara |
| author_sort | Hao-Tse Chiu |
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| description | In this paper, we study the advantages of improper Gaussian signaling (IGS) with the existence of hardware impairments (HWI) and imperfect successive interference cancellation (SIC) in the downlink two-user power-domain non-orthogonal multiple access (PD-NOMA) systems. We first provide the input-output relationships for the MIMO system with HWIs and then derive the rate expressions for each user. The improper signals are assumed to be generated by widely linear precoding (WLP) and transmitted under the PD-NOMA scheme in the context of imperfect SIC. To exhibit the supremacy of IGS, we formulate two kinds of optimization problems concerned with the max-min rate and maximizing achievable sum rate (ASR) between users under the quality of service (QoS) and the total power constraints (TPC). To deal with the non-convex log-determinant objective functions, we adopt successive concave quadratic programming (SCQP) to obtain suboptimal results by iterations. Simulation results demonstrate that IGS cases outperform ZF precoders and conventional proper Gaussian signaling (PGS) counterparts in both max-min rate and ASR, particularly in high I/Q imbalance (IQI) and less efficient SIC scenarios. Besides, the difference in the performance degradation between imperfect SIC and HWIs is compared. Finally, we briefly classify the conditions where IGS could be preferable for signal transmission. |
| format | Article |
| id | doaj-art-3d7b4b45e4ec4c7f9e484f7cb58bbb81 |
| institution | Kabale University |
| issn | 2169-3536 |
| language | English |
| publishDate | 2023-01-01 |
| publisher | IEEE |
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| series | IEEE Access |
| spelling | doaj-art-3d7b4b45e4ec4c7f9e484f7cb58bbb812024-12-11T00:01:23ZengIEEEIEEE Access2169-35362023-01-0111598275983910.1109/ACCESS.2023.328653310153587Improper Gaussian Signaling for Two-User MISO-NOMA Systems Considering Hardware Impairments and Imperfect SICHao-Tse Chiu0https://orcid.org/0000-0003-4402-3397Fumiaki Maehara1https://orcid.org/0000-0002-4752-8270Graduate School of Fundamental Science and Engineering, Waseda University, Tokyo, JapanGraduate School of Fundamental Science and Engineering, Waseda University, Tokyo, JapanIn this paper, we study the advantages of improper Gaussian signaling (IGS) with the existence of hardware impairments (HWI) and imperfect successive interference cancellation (SIC) in the downlink two-user power-domain non-orthogonal multiple access (PD-NOMA) systems. We first provide the input-output relationships for the MIMO system with HWIs and then derive the rate expressions for each user. The improper signals are assumed to be generated by widely linear precoding (WLP) and transmitted under the PD-NOMA scheme in the context of imperfect SIC. To exhibit the supremacy of IGS, we formulate two kinds of optimization problems concerned with the max-min rate and maximizing achievable sum rate (ASR) between users under the quality of service (QoS) and the total power constraints (TPC). To deal with the non-convex log-determinant objective functions, we adopt successive concave quadratic programming (SCQP) to obtain suboptimal results by iterations. Simulation results demonstrate that IGS cases outperform ZF precoders and conventional proper Gaussian signaling (PGS) counterparts in both max-min rate and ASR, particularly in high I/Q imbalance (IQI) and less efficient SIC scenarios. Besides, the difference in the performance degradation between imperfect SIC and HWIs is compared. Finally, we briefly classify the conditions where IGS could be preferable for signal transmission.https://ieeexplore.ieee.org/document/10153587/Hardware impairmentsimproper Gaussian signalingwidely linear precodingtwo-user MISO-NOMAimperfect SICconvex optimization |
| spellingShingle | Hao-Tse Chiu Fumiaki Maehara Improper Gaussian Signaling for Two-User MISO-NOMA Systems Considering Hardware Impairments and Imperfect SIC IEEE Access Hardware impairments improper Gaussian signaling widely linear precoding two-user MISO-NOMA imperfect SIC convex optimization |
| title | Improper Gaussian Signaling for Two-User MISO-NOMA Systems Considering Hardware Impairments and Imperfect SIC |
| title_full | Improper Gaussian Signaling for Two-User MISO-NOMA Systems Considering Hardware Impairments and Imperfect SIC |
| title_fullStr | Improper Gaussian Signaling for Two-User MISO-NOMA Systems Considering Hardware Impairments and Imperfect SIC |
| title_full_unstemmed | Improper Gaussian Signaling for Two-User MISO-NOMA Systems Considering Hardware Impairments and Imperfect SIC |
| title_short | Improper Gaussian Signaling for Two-User MISO-NOMA Systems Considering Hardware Impairments and Imperfect SIC |
| title_sort | improper gaussian signaling for two user miso noma systems considering hardware impairments and imperfect sic |
| topic | Hardware impairments improper Gaussian signaling widely linear precoding two-user MISO-NOMA imperfect SIC convex optimization |
| url | https://ieeexplore.ieee.org/document/10153587/ |
| work_keys_str_mv | AT haotsechiu impropergaussiansignalingfortwousermisonomasystemsconsideringhardwareimpairmentsandimperfectsic AT fumiakimaehara impropergaussiansignalingfortwousermisonomasystemsconsideringhardwareimpairmentsandimperfectsic |