Joint optimization for secure ambient backscatter communication in NOMA-enabled IoT networks

Non-orthogonal multiple access (NOMA) has emerged as a novel air interface technology for massive connectivity in sixth-generation (6G) era. The recent integration of NOMA in backscatter communication (BC) has triggered significant research interest due to its applications in low-powered Internet of Things (IoT) networks. However, the link security aspect of these networks has not been well investigated. This article provides a new optimization framework for improving the physical layer security of the NOMA ambient BC system. Our system model takes into account the simultaneous operation of NOMA IoT users and the backscatter node (BN) in the presence of multiple eavesdroppers (EDs). The EDs in the surrounding area can overhear the communication of base station (BS) and BN due to the wireless broadcast transmission. Thus, the main objective is to enhance the link security by optimizing the BN reflection coefficient and BS transmit power. To gauge the performance of the proposed scheme, we also present the suboptimal NOMA and conventional orthogonal multiple access as benchmark schemes. Monte Carlo simulation results demonstrate the superiority of the NOMA BC scheme over the pure NOMA scheme without BC and conventional orthogonal multiple access scheme in terms of system secrecy rate.

[1]  Wali Ullah Khan,et al.  Joint optimization of NOMA‐enabled backscatter communications for beyond 5G IoT networks , 2020, Internet Technol. Lett..

[2]  Salman Durrani,et al.  Design of Non-Orthogonal Multiple Access Enhanced Backscatter Communication , 2017, IEEE Transactions on Wireless Communications.

[3]  Vishal Sharma,et al.  Spectral Efficiency Optimization for Next Generation NOMA-Enabled IoT Networks , 2020, IEEE Transactions on Vehicular Technology.

[4]  Lin Zhang,et al.  Backscatter-NOMA: A Symbiotic System of Cellular and Internet-of-Things Networks , 2019, IEEE Access.

[5]  Ju Liu,et al.  Efficient power allocation in downlink multi-cell multi-user NOMA networks , 2019, IET Commun..

[6]  Ying-Chang Liang,et al.  Resource Allocation in NOMA-Enhanced Backscatter Communication Networks for Wireless Powered IoT , 2020, IEEE Wireless Communications Letters.

[7]  Lihua Li,et al.  Secrecy Analysis of Ambient Backscatter NOMA Systems Under I/Q Imbalance , 2020, IEEE Transactions on Vehicular Technology.

[8]  Xiaolan Liu,et al.  Optimal Time Scheduling Scheme for Wireless Powered Ambient Backscatter Communications in IoT Networks , 2018, IEEE Internet of Things Journal.

[9]  Mohsen Guizani,et al.  Backscatter-Enabled Efficient V2X Communication With Non-Orthogonal Multiple Access , 2021, IEEE Transactions on Vehicular Technology.

[10]  Syed Ali Hassan,et al.  NOMA-Enabled Backscatter Communications: Toward Battery-Free IoT Networks , 2020, IEEE Internet of Things Magazine.

[11]  Furqan Jameel,et al.  Reinforcement Learning for Scalable and Reliable Power Allocation in SDN-based Backscatter Heterogeneous Network , 2020, IEEE INFOCOM 2020 - IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS).

[12]  Wali Ullah Khan,et al.  Physical Layer Security of Cognitive Ambient Backscatter Communications for Green Internet-of-Things , 2021, IEEE Transactions on Green Communications and Networking.

[13]  Hong Wen,et al.  Joint optimization for ambient backscatter communication system with energy harvesting for IoT , 2020 .

[14]  Octavia A. Dobre,et al.  Backscatter-Enabled NOMA for Future 6G Systems: A New Optimization Framework Under Imperfect SIC , 2021, IEEE Communications Letters.

[15]  Dinh-Thuan Do,et al.  Outage performance of backscatter NOMA relaying systems equipping with multiple antennas , 2019, Electronics Letters.

[16]  Halim Yanikomeroglu,et al.  UAV Data Collection Over NOMA Backscatter Networks: UAV Altitude and Trajectory Optimization , 2019, ICC 2019 - 2019 IEEE International Conference on Communications (ICC).

[17]  Guan Gui,et al.  The Optimal Control Policy for RF-Powered Backscatter Communication Networks , 2018, IEEE Transactions on Vehicular Technology.

[18]  Ju Liu,et al.  Efficient power allocation for NOMA-enabled IoT networks in 6G era , 2020, Phys. Commun..

[19]  Jiayin Qin,et al.  Secure Beamforming in MISO NOMA Backscatter Device Aided Symbiotic Radio Networks , 2019, ArXiv.

[20]  Ying-Chang Liang,et al.  Resource Allocation in NOMA-Enhanced Full-Duplex Symbiotic Radio Networks , 2020, IEEE Access.

[21]  Furqan Jameel,et al.  Multiobjective Optimization of Uplink NOMA-Enabled Vehicle-to-Infrastructure Communication , 2020, IEEE Access.

[22]  Tapani Ristaniemi,et al.  Joint Spectral and Energy Efficiency Optimization for Downlink NOMA Networks , 2020, IEEE Transactions on Cognitive Communications and Networking.

[23]  Tapani Ristaniemi,et al.  Simultaneous harvest-and-transmit ambient backscatter communications under Rayleigh fading , 2019, EURASIP Journal on Wireless Communications and Networking.

[24]  Kaibin Huang,et al.  Wirelessly Powered Backscatter Communication Networks: Modeling, Coverage and Capacity , 2016, 2016 IEEE Global Communications Conference (GLOBECOM).

[25]  Tapani Ristaniemi,et al.  Towards Intelligent IoT Networks: Reinforcement Learning for Reliable Backscatter Communications , 2019, 2019 IEEE Globecom Workshops (GC Wkshps).

[26]  Theodoros A. Tsiftsis,et al.  UAV-Aided Multi-Way NOMA Networks With Residual Hardware Impairments , 2020, IEEE Wireless Communications Letters.

[27]  Aamir Mahmood,et al.  NOMA Enhanced Backscatter Communication for Green IoT Networks , 2019, 2019 16th International Symposium on Wireless Communication Systems (ISWCS).

[28]  Wali Ullah Khan,et al.  Time Slot Management in Backscatter Systems for Large-Scale IoT Networks , 2021 .