Frontiers of Information Technology & Electronic Engineering
>> 2024,
Volume 25,
Issue 4
doi:
10.1631/FITEE.2200599
Secure resource allocation against colluding eavesdropping in a user-centric cell-free massive multiple-input multiple-output system
College of Communication Engineering, Army Engineering University of PLA, Nanjing 210007, China
Received: 2022-11-26
Accepted: 2024-05-06
Available online: 2024-05-06
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Abstract
We investigate the resource allocation problem of a massive multiple-input multiple-output system under the condition of by multiple passive eavesdroppers. To address the problem of , a scheme is proposed to allocate the pilot with the minimum pollution to users based on and optimize the pilot transmission power to improve the accuracy of channel estimation. Aiming at the secure transmission problem under a environment by multiple passive eavesdroppers, based on the local partial zero-forcing precoding scheme, a transmission power optimization scheme is formulated to maximize the system’s minimum security spectral efficiency. Simulation results show that the proposed scheme can effectively reduce channel estimation error and improve system security.
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