Robust Multi-Objective Beamforming Design for Power Efficient and Secure Communication in MU-MISO Networks
In this paper, we consider transmission optimization in a multiple-input-single-output downlink network, in which each user is wiretapped by a specific eavesdropper. Particularly, we aim to minimize the total transmit power and maximize the sum secrecy rate (SSR) of the system simultaneously, under...
| Main Authors: | , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
IEEE
2017-01-01
|
| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/7979522/ |
| _version_ | 1818876823306502144 |
|---|---|
| author | Wei Wu Su Wu Baoyun Wang |
| author_facet | Wei Wu Su Wu Baoyun Wang |
| author_sort | Wei Wu |
| collection | DOAJ |
| description | In this paper, we consider transmission optimization in a multiple-input-single-output downlink network, in which each user is wiretapped by a specific eavesdropper. Particularly, we aim to minimize the total transmit power and maximize the sum secrecy rate (SSR) of the system simultaneously, under the assumption that the channel state information (CSI) of the eavesdroppers is not perfectly known at the transmitter. Considering the conflict between two objectives, a multi-objective optimization (MOO) framework based on the weighted Tchebycheff approach is proposed. The formulated MOO problem is non-convex and intractable. To tackle it, several auxiliary variables are introduced and the corresponding Taylor series expansion is employed to linearize the term related to each auxiliary variable. Then, the non-convexity resulting from the CSI errors is recast as a convex one with the aid of S-procedure and Cauchy-Schwarz inequality. Based on above treatments, a robust iterative algorithm is proposed to solve the original problem. Simulation results not only demonstrate the effectiveness of the proposed design, but also unveil the tradeoff between the total transmit power and the SSR. |
| first_indexed | 2024-12-19T13:48:31Z |
| format | Article |
| id | doaj.art-412caab7099c4d8c94c4d4aa978a1c41 |
| institution | Directory Open Access Journal |
| issn | 2169-3536 |
| language | English |
| last_indexed | 2024-12-19T13:48:31Z |
| publishDate | 2017-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Access |
| spelling | doaj.art-412caab7099c4d8c94c4d4aa978a1c412022-12-21T20:18:49ZengIEEEIEEE Access2169-35362017-01-015132771328510.1109/ACCESS.2017.27265817979522Robust Multi-Objective Beamforming Design for Power Efficient and Secure Communication in MU-MISO NetworksWei Wu0https://orcid.org/0000-0001-8534-3667Su Wu1Baoyun Wang2College of Communication and Information Engineering, Nanjing University of Posts and Telecommunications, Nanjing, ChinaCollege of Communication and Information Engineering, Nanjing University of Posts and Telecommunications, Nanjing, ChinaCollege of Communication and Information Engineering, Nanjing University of Posts and Telecommunications, Nanjing, ChinaIn this paper, we consider transmission optimization in a multiple-input-single-output downlink network, in which each user is wiretapped by a specific eavesdropper. Particularly, we aim to minimize the total transmit power and maximize the sum secrecy rate (SSR) of the system simultaneously, under the assumption that the channel state information (CSI) of the eavesdroppers is not perfectly known at the transmitter. Considering the conflict between two objectives, a multi-objective optimization (MOO) framework based on the weighted Tchebycheff approach is proposed. The formulated MOO problem is non-convex and intractable. To tackle it, several auxiliary variables are introduced and the corresponding Taylor series expansion is employed to linearize the term related to each auxiliary variable. Then, the non-convexity resulting from the CSI errors is recast as a convex one with the aid of S-procedure and Cauchy-Schwarz inequality. Based on above treatments, a robust iterative algorithm is proposed to solve the original problem. Simulation results not only demonstrate the effectiveness of the proposed design, but also unveil the tradeoff between the total transmit power and the SSR.https://ieeexplore.ieee.org/document/7979522/Multi-objective optimizationrobust beamformingphysical (PHY) layer securitymulti-group unicast |
| spellingShingle | Wei Wu Su Wu Baoyun Wang Robust Multi-Objective Beamforming Design for Power Efficient and Secure Communication in MU-MISO Networks IEEE Access Multi-objective optimization robust beamforming physical (PHY) layer security multi-group unicast |
| title | Robust Multi-Objective Beamforming Design for Power Efficient and Secure Communication in MU-MISO Networks |
| title_full | Robust Multi-Objective Beamforming Design for Power Efficient and Secure Communication in MU-MISO Networks |
| title_fullStr | Robust Multi-Objective Beamforming Design for Power Efficient and Secure Communication in MU-MISO Networks |
| title_full_unstemmed | Robust Multi-Objective Beamforming Design for Power Efficient and Secure Communication in MU-MISO Networks |
| title_short | Robust Multi-Objective Beamforming Design for Power Efficient and Secure Communication in MU-MISO Networks |
| title_sort | robust multi objective beamforming design for power efficient and secure communication in mu miso networks |
| topic | Multi-objective optimization robust beamforming physical (PHY) layer security multi-group unicast |
| url | https://ieeexplore.ieee.org/document/7979522/ |
| work_keys_str_mv | AT weiwu robustmultiobjectivebeamformingdesignforpowerefficientandsecurecommunicationinmumisonetworks AT suwu robustmultiobjectivebeamformingdesignforpowerefficientandsecurecommunicationinmumisonetworks AT baoyunwang robustmultiobjectivebeamformingdesignforpowerefficientandsecurecommunicationinmumisonetworks |