Joint Resource Allocation for Temporal Artificial Noise Assisted Multiuser Wiretap OFDM Channels with Finite-Alphabet Inputs

Autor: Chengyou Yin, Fan Linhui, Liu Fangzheng, Bo Tang, Jiang Qiuxi
Rok vydání: 2019
Předmět:
Zdroj: 2019 IEEE 2nd International Conference on Electronics Technology (ICET).
DOI: 10.1109/eltech.2019.8839391
Popis: The security issue on the physical layer is of significant challenge yet paramount importance for 5G communications. In some previous works, transmit power allocation has already been studied for orthogonal frequency division multiplexing (OFDM) secure communication with Gaussian channel inputs for both a single user and multiple users. Facing with peak transmission power constraints, we adopt discrete channel inputs (e.g., QPSK) in practical communication system, instead of Gaussian channel inputs. Discrete channel inputs impose a more significant challenge as compared with conventional Gaussian channel inputs for the multiuser wiretap OFDM system. This paper considers the joint resource allocation for time-domain artificial noise (AN) aided multiuser wiretap orthogonal frequency-division multiplexing (OFDM) channels with discrete channel inputs, providing secure 5G communications. This security problem is formulated as nonconvex sum secrecy rate optimization by jointly optimizing the subcarrier allocation, information-bearing power and AN-bearing power. To this end, with suboptimal subcarrier allocation scheme, we develop an efficient iterative algorithm to allocate the power between the signal and the AN via the Lagrange duality method. Finally, we carry out some numerical simulation to demonstrate the performance of the proposed algorithms.
Databáze: OpenAIRE