In this paper, we consider a hierarchical information accessibility (HIA) model, which generalizes conventional physical layer security. In the considered model, multiple layers with different security priorities are assumed, where only the users in a higher priority layer are permitted to decode the message intended to lower priority layers. To maximize the sum secrecy rate of the considered system, we formulate an optimization problem with regard to precoders. To solve the formulated problem, we first approximate the objective function by using the LogSumExp technique and show that finding a local optimum is equivalent to finding a leading eigenvector of the first-order optimality condition of the reformulated problem. Accordingly, we propose a novel algorithm called generalized power iteration for hierarchical information accessibility (GPI-HIA) to obtain a solution. Via simulations, we demonstrate that the proposed method significantly outperforms other baseline schemes under the considered HIA scenario.
|Title of host publication||2021 IEEE Global Communications Conference, GLOBECOM 2021 - Proceedings|
|Publisher||Institute of Electrical and Electronics Engineers Inc.|
|Publication status||Published - 2021|
|Event||2021 IEEE Global Communications Conference, GLOBECOM 2021 - Madrid, Spain|
Duration: 2021 Dec 7 → 2021 Dec 11
|Name||2021 IEEE Global Communications Conference, GLOBECOM 2021 - Proceedings|
|Conference||2021 IEEE Global Communications Conference, GLOBECOM 2021|
|Period||21/12/7 → 21/12/11|
Bibliographical noteFunding Information:
This study was supported in part by BK21 FOUR project funded by the Ministry of Education, Korea (4199990113966), in part by the National Research Foundation of Korea (NRF) grant funded by the Korea government (MSIT) (No. 2021R1C1C1004438), and in part by the MSIT (Ministry of Science and ICT), Korea, under the ITRC (Information Technology Research Center) support program (IITP-2021-2017-0-01635) supervised by the IITP (Institute for Information & Communications Technology Planning & Evaluation).
© 2021 IEEE.
All Science Journal Classification (ASJC) codes
- Artificial Intelligence
- Computer Networks and Communications
- Computer Science Applications
- Hardware and Architecture
- Information Systems and Management
- Safety, Risk, Reliability and Quality
- Health Informatics