Joint Secure Design of Downlink and D2D Cooperation Strategies for Multi-User Systems

This work studies the role of inter-user device-to-device (D2D) cooperation for improving physical-layer secret communication in multi-user downlink systems. It is assumed that there are out-of-band D2D channels, on each of which a selected legitimate user transmits an amplified version of the received downlink signal to other legitimate users. A key technical challenge for designing such systems is that eavesdroppers can overhear downlink as well as D2D cooperation signals. We tackle the problem of jointly optimizing the downlink precoding, artificial noise covariance, and amplification coefficients that maximize the minimum rate. An iterative alternating optimization algorithm is proposed based on the matrix fractional programming. Numerical results confirm the performance gains of the proposed D2D cooperation scheme compared to benchmark secret communication schemes.

[1]  Stéphane Y. Le Goff,et al.  Secrecy Rate Optimizations for a MISO Secrecy Channel with Multiple Multiantenna Eavesdroppers , 2016, IEEE Transactions on Wireless Communications.

[2]  Shlomo Shamai,et al.  Multi-Tenant C-RAN With Spectrum Pooling: Downlink Optimization Under Privacy Constraints , 2018, IEEE Transactions on Vehicular Technology.

[3]  Wei Yu,et al.  Optimization of MIMO Device-to-Device Networks via Matrix Fractional Programming: A Minorization–Maximization Approach , 2018, IEEE/ACM Transactions on Networking.

[4]  Vahid Jamali,et al.  Resource Allocation for Secure Multi-User Downlink MISO-URLLC Systems , 2020, ICC 2020 - 2020 IEEE International Conference on Communications (ICC).

[5]  Junbeom Kim,et al.  Broadcast Coding and Successive Refinement for Layered UE Cooperation in Multi-User Downlink , 2020, IEEE Wireless Communications Letters.

[6]  Derrick Wing Kwan Ng,et al.  Robust and Secure Resource Allocation for Full-Duplex MISO Multicarrier NOMA Systems , 2017, IEEE Transactions on Communications.

[7]  Shlomo Shamai,et al.  Fronthaul quantization as artificial noise for enhanced secret communication in C-RAN , 2017, 2017 IEEE 18th International Workshop on Signal Processing Advances in Wireless Communications (SPAWC).

[8]  Suhas Diggavi,et al.  Enhancing Multiuser MIMO Through Opportunistic D2D Cooperation , 2016, IEEE Transactions on Wireless Communications.

[9]  Imre Csiszár,et al.  Information Theory - Coding Theorems for Discrete Memoryless Systems, Second Edition , 2011 .

[10]  Yong Feng,et al.  Artificial-Noise-Aided Secure Multi-User Multi-Antenna Transmission With Quantized CSIT: A Comprehensive Design and Analysis , 2020, IEEE Transactions on Information Forensics and Security.

[11]  Wei Yu,et al.  Fronthaul Compression and Transmit Beamforming Optimization for Multi-Antenna Uplink C-RAN , 2016, IEEE Transactions on Signal Processing.