Ambient backcom in beyond 5G NOMA networks: A multi-cell resource allocation framework

Khan, Wali Ullah; Memon, Fida Hussain; Dev, Kapal; Javed, Muhammad Awais; Do, Dinh-Thuan; Qureshi, Nawab Muhammad Faseeh

doi:10.1016/j.dcan.2022.10.028

Download

Article (Scientific journals)

Ambient backcom in beyond 5G NOMA networks: A multi-cell resource allocation framework

Khan, Wali Ullah; Memon, Fida Hussain; Dev, Kapal et al.

2022 • In Digital Communications and Networks

Peer Reviewed verified by ORBi

Permalink
https://hdl.handle.net/10993/54328

DOI
10.1016/j.dcan.2022.10.028

Files (1)Send to Details Statistics Bibliography Similar publications

Files

Full Text

1-s2.0-S2352864822002371-main.pdf

Publisher postprint (1.33 MB)

Download

All documents in ORBilu are protected by a user license.

Send to

RIS BibTex APA Chicago Permalink X Linkedin

Details

Keywords :

Backscatter Communications; Non-orthogonal Multiple Access; Resource Allocation

Abstract :

[en] The research of Non-Orthogonal Multiple Access (NOMA) is extensively used to improve the capacity of networks beyond the fifth-generation. The recent merger of NOMA with ambient Backscatter Communication (BackCom), though opening new possibilities for massive connectivity, poses several challenges in dense wireless networks. One of such challenges is the performance degradation of ambient BackCom in multi-cell NOMA networks under the effect of inter-cell interference. Driven by providing an efficient solution to the issue, this article proposes a new resource allocation framework that uses a duality theory approach. Specifically, the sum rate of the multi-cell network with backscatter tags and NOMA user equipments is maximized by formulating a joint optimization problem. To find the efficient base station transmit power and backscatter reflection coefficient in each cell, the original problem is first divided into two subproblems, and then the closed form solution is derived. A comparison with the Orthogonal Multiple Access (OMA) ambient BackCom and pure NOMA transmission has been provided. Simulation results of the proposed NOMA ambient BackCom indicate a significant improvement over the OMA ambient BackCom and pure NOMA in terms of sum-rate gains.

Disciplines :

Electrical & electronics engineering

Author, co-author :

Khan, Wali Ullah ; University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > SigCom

Memon, Fida Hussain

Dev, Kapal

Javed, Muhammad Awais

Do, Dinh-Thuan

Qureshi, Nawab Muhammad Faseeh

External co-authors :

yes

Language :

English

Title :

Ambient backcom in beyond 5G NOMA networks: A multi-cell resource allocation framework

Alternative titles :

[en] Ambient backcom in beyond 5G NOMA networks: A multi-cell resource allocation framework

Publication date :

November 2022

Journal title :

Digital Communications and Networks

ISSN :

2352-8648

Publisher :

Elsevier, Amsterdam, Netherlands

Peer reviewed :

Peer Reviewed verified by ORBi

Focus Area :

Security, Reliability and Trust

Additional URL :

https://www.sciencedirect.com/science/article/pii/S2352864822002371

Available on ORBilu :

since 03 February 2023

Statistics

Number of views

12 (0 by Unilu)

Number of downloads

30 (0 by Unilu)

More statistics

Scopus citations^®

Scopus citations^®
without self-citations

OpenCitations

WoS citations^™

Bibliography

De Alwis, C., Kalla, A., Pham, Q.V., Kumar, P., Liyanage, M., Survey on 6G frontiers: trends, applications, requirements, technologies and future research. IEEE Open Journal of the Communications Society 2 (2021), 836–886.
Khan, W.U., Jameel, F., Ristaniemi, T., Khan, S., Sidhu, G., Liu, J., Joint spectral and energy efficiency optimization for downlink NOMA networks. IEEE Transactions on Cognitive Communications and Networking 6:2 (2020), 645–656.
Li, Y., Ma, H., Wang, L., Mao, S., Wang, G., Optimized content caching and user association for edge computing in densely deployed heterogeneous networks. IEEE Trans. Mobile Comput. 21:6 (2022), 2130–2142.
W. U. Khan, E. Lagunas, Z. Ali, M. A. Javed, M. Ahmed, S. Chatzinotas, B. Ottersten, P. Popovski, Opportunities for Physical Layer Security in UAV Communication Enhanced with Intelligent Reflective Surfaces, arXiv preprint arXiv:2203.16907.
Xia, S., Yao, Z., Li, Y., Mao, S., Online distributed offloading and computing resource management with energy harvesting for heterogeneous MEC-enabled iot. IEEE Trans. Wireless Commun. 20:10 (2021), 6743–6757.
Li, X., Li, J., Ding, Z., Nallanathan, A., Residual transceiver hardware impairments on cooperative NOMA networks. IEEE Trans. Wireless Commun. 19:1 (2020), 680–695.
Dev, K., Khowaja, S.A., Sharma, P.K., Chowdhry, B.S., Tanwar, S., Fortino, G, DDI: a novel architecture for joint active user detection and IoT device identification in grant-free NOMA systems for 6G and beyond networks. IEEE Internet Things J 9:4 (2021), 2906–2917.
Maraqa, O., Rajasekaran, A. S., Al-Ahmadi, S., Yanikomeroglu, H., Sait, S., A survey of rate-optimal power domain NOMA with enabling technologies of future wireless networks. IEEE Communications Surveys Tutorials 22:4 (2020), 2192–2235.
Khan, W.U., Yu, Z.Y., Yu, S.S., Sardar, G.A., Efficient power allocation in downlink multi-cell multi-user NOMA networks. IET Commun. 13:4 (2018), 396–402.
Khan, W.U., Liu, J., Jameel, F., Sharma, V., Han, Z., Spectral efficiency optimization for next generation NOMA-enabled IoT networks. IEEE Trans. Veh. Technol. 69:12 (2020), 15284–15297.
Li, X., Zhao, M., Zhang, C., Khan, W.U., Kharel, R., Security analysis of multi-antenna NOMA networks under I/Q imbalance. Electronics, 8(11), 2019, 1327.
Ali, Z., et al. Joint user pairing, channel assignment and power allocation in NOMA based CR systems. Appl. Sci., 9(20), 2019, 4282.
Zhu, L., Xiao, Z, Xia, X.G., Wu, D.O., Millimeter-wave communications with non-orthogonal multiple access for B5G/6G. IEEE Access 7 (2019), 116123–116132.
Nasser, A., Muta, O., Elsabrouty, M., Gacanin, H., Interference mitigation and power allocation scheme for downlink MIMO-NOMA HetNet. IEEE Trans. Veh. Technol. 68:7 (2019), 6805–6816, 10.1109/TVT.2019.2918336.
Du, Y., Dong, B.H., Chen, Z., Wang, X.D., Liu, Z.Y., Gao, P.Y., li, S.Q., Efficient multi-user detection for uplink grant-free NOMA: prior-information aided adaptive compressive sensing perspective. IEEE J. Sel. Area. Commun. 35:12 (2017), 2812–2828.
Jameel, F., Wyne, S., Kaddoum, G., Duong, T.Q., A comprehensive survey on cooperative relaying and jamming strategies for physical layer security. IEEE Communications Surveys Tutorials 21:3 (2019), 2734–2771.
Khan, W.U., Jameel, F., Sidhu, G.A.S., Ahmed, M., Li, X.W., Jäntti, R., Multiobjective optimization of uplink NOMA-enabled vehicle-to-infrastructure communication. IEEE Access 8 (2020), 84467–84478.
Ding, Z., Fan, P., Poor, H.V., Impact of non-orthogonal multiple access on the offloading of mobile edge computing. IEEE Trans. Commun. 67:1 (2018), 375–390.
Xu, C., et al. Practical backscatter communication systems for battery-free internet of things: a tutorial and survey of recent research,. IEEE Signal Process Mag. 35:5 (2018), 16–27.
Jameel, F., et al. NOMA-enabled backscatter communications: towards Battery-free IoT Networks. 4th, 3, 2020, IEEE Internet Things Mag., 95–101.
Liu, W., Huang, K., Zhou, X., Durrani, S., Full-duplex backscatter interference networks based on time-hopping spread spectrum. IEEE Trans. Wireless Commun. 16:7 (2017), 4361–4377.
Wang, G., Gao, F., Fan, R., Tellambura, C., Ambient backscatter communication systems: detection and performance analysis. IEEE Trans. Commun. 64:11 (2016), 4836–4846.
Khan, W.U., Ahmad, G., Li, X., Kaleem, Z., Liu, J., NOMA-enabled wireless powered backscatter communications for secure and green IoT networks. Wireless-Powered Backscatter Communications for Internet of Things, 2020, Springer, 103–131.
Cao, X.L., Song, Z.X., Yang, B., ElMossallamy, M.A., Qian, L.J., Han, Z., A distributed ambient backscatter MAC protocol for internet-of-things networks. IEEE Internet Things J. 7:2 (2020), 1488–1501.
Lyu, B., You, C., Zhen, Y., Guan, G., The optimal control policy for RF-powered backscatter communication networks. IEEE Trans. Veh. Technol. 67:3 (2017), 2804–2808.
Guo, J., Zhou, X., Durrani, S., Yanikomeroglu, H., Backscatter communications with NOMA (invited paper). Int. Symp. Wireless Commun. Sys., 2018, ISWCS, 1–5.
Jameel, F., et al. Simultaneous harvest-and-transmit ambient backscatter communications under Rayleigh fading. EURASIP J. Wirel. Commun. Netw., 2019(1), 2019, 166.
Jameel, F., Duan, R., Chang, Z., Liljemark, A., Jantti, R., Applications of backscatter communications for healthcare networks. IEEE Network 33:6 (2019), 50–57.
Li, X., Zheng, Y., Khan, W.U., Zeng, M., Li, L., Physical layer security of cognitive ambient backscatter communications for green Internet-of-things. IEEE Trans. Green Commun. Netw. 5:3 (2021), 1066–1076.
Tao, Q., Li, Y., Zhong, C., Shao, S., Zhang, Z., A novel interference cancellation scheme for bistatic backscatter communication systems. IEEE Commun. Lett. 25:6 (2021), 2014–2018.
Xu, Y., Hu, R.Q., Joint computation offloading and radio resource allocation in MEC-based wireless-powered backscatter communication networks. IEEE Trans. Veh. Technol. 70:6 (2021), 6200–6205.
Wang, Y., Yan, S., Wang, W., Huang, Y., Liu, C., Energy-efficient covert communications for bistatic backscatter systems. IEEE Trans. Veh. Technol. 70:3 (2021), 2906–2911.
Sacarelo, G., Kim, Y.H., Rate-energy tradeoffs of wireless powered backscatter communication with power splitting and time switching. IEEE Access 9 (2021), 10844–10857.
Khan, W.U., Nguyen, T.N., Jameel, F., Jamshed, M.A., Pervaiz, H., Javed, M.A., Jantti, R., Learning-based resource allocation for backscatter-aided vehicular networks. IEEE Trans. Intell. Transport. Syst., 2021, 1–15.
F. Jameel, et al., Time slot management in backscatter systems for large-scale IoT networks, in: Wireless-Powered Backscatter Communications for Internet of Things, Springer, pp. 51–65.
Mehmood, A., Aman, W., Rahman, M.M.U., Imran, M.A., Abbasi, Q.H., Preventing identity attacks in RFID backscatter communication systems: a physical-layer approach. 2020 International Conference on UK-China Emerging Technologies (UCET), 2020, IEEE, 1–5.
F. Jameel, M. Nabeel, W.U. Khan, Multi-tone carrier backscatter communications for massive IoT networks, Wireless-Powered Backscatter Communications for Internet of Things, Springer, pp. 39–50.
Zhang, Q., Zhang, L., Liang, Y.C., Kam, P.Y., Backscatter-NOMA: a symbiotic system of cellular and Internet-of-Things networks. IEEE Access 7 (2019), 20000–20013.
Guo, J., Zhou, X., Durrani, S., Yanikomeroglu, H., Design of non-orthogonal multiple access enhanced backscatter communication. IEEE Trans. Wireless Commun. 17:10 (2018), 6837–6852.
Farajzadeh, A., Ercetin, O., Yanikomeroglu, H., UAV data collection over NOMA backscatter networks: UAV altitude and trajectory optimization. IEEE Int. Conf. Commun., 2019, ICC), 1–7.
Le, C., Do, D., Outage performance of backscatter NOMA relaying systems equipping with multiple antennas. IET Electron. Lett. 55:19 (2019), 1066–1067, 10.1049/el.2019.1390.
Y. Li, et al., Secure Beamforming in MISO NOMA Backscatter Device Aided Symbiotic Radio Networks, arXiv preprint arXiv:1906.03410.
Yang, G., Xu, X., Liang, Y.C., Resource allocation in NOMA-enhanced backscatter communication networks for wireless powered IoT. IEEE Wireless Commun. Lett. 9:1 (2020), 117–120.
Zeb, S., Abbas, Q., Hassan, S.A., Mahmood, A., Gidlund, M., NOMA enhanced backscatter communication for green IoT networks. Int. Symp. Wireless Commun. Sys., 2019, ISWCS, 1–5.
Zhang, Q., Zhang, L., Liang, Y.C., Kam, P.Y., Backscatter-NOMA: an integrated system of cellular and internet-of-things networks. IEEE Int. Conf. Commun., 2019, ICC, 1–6.
Khan, W.U., liu, J., Jameel, F., Khan, M.T.R., Jantti, R., Secure backscatter communications in multi-cell NOMA networks: enabling link security for massive IoT networks. IEEE INFOCOM 2020-IEEE Conference on Computer Communications Workshops, 2020, IEEE, 213–218.
Khan, W.U., Ali, Z., Khan, A.U., Sidhu, G.A.S., Secure Backscatter-Enabled NOMA System Design in 6G Era. Internet Technology Letters, 2021, e307.
Jameel, F., Khan, W.U., Jamshed, M.A., Pervaiz, H., Jantti, R., Reinforcement learning for scalable and reliable power allocation in SDN-based backscatter heterogeneous network. IEEE INFOCOM 2020 - IEEE Conference on Computer Communications Workshops, 2020, IEEE, 1069–1074.
Khan, W.U., et al. Joint Optimization of NOMA-enabled backscatter communications for beyond 5G IoT networks. Internet Technol. Lett., 265, 2021, 10.1002/itl2.265.
Khan, W.U., Li, X., Zeng, M., Dobre, O.A., Backscatter-enabled NOMA for future 6G systems: a new optimization framework under imperfect SIC. IEEE Commun. Lett. 25:5 (2021), 1669–1672.
Khan, W.U., Jameel, F., Kumar, N., Jäntti, R., Guizani, M., Backscatter-enabled efficient V2X communication with non-orthogonal multiple access. IEEE Trans. Veh. Technol. 70:2 (2021), 1724–1735.
Ahmed, M., Khan, W.U., Ihsan, A., Li, X., Li, J., Tsiftsis, T.A., Backscatter sensors communication for 6G low-powered NOMA-enabled IoT networks under imperfect SIC. IEEE Syst. J., 2022, 1–11.
Khan, W.U., Javed, M.A., Nguyen, T.N., Khan, S., Elhalawany, B.M., Energy-efficient resource allocation for 6G backscatter-enabled NOMA IoV networks. IEEE Trans. Intell. Transport. Syst. 23:7 (2022), 9775–9785.
A. Ihsan, W. Chen, W.U. Khan, Energy-efficient Backscatter Aided Uplink NOMA Roadside Sensor Communications under Channel Estimation Errors, arXiv preprint arXiv:2109.05341.
Zhang, Z.K., Sun, H.J., Hu, R.Q.Y., Downlink and uplink non-orthogonal multiple access in a dense wireless network. IEEE J. Sel. Area. Commun. 35:12 (2017), 2771–2784.
Xu, B., Yue, C., Carrion, J.R., Zhang, T., Resource allocation in energy-cooperation enabled two-tier NOMA HetNets toward green 5G. IEEE J. Sel. Area. Commun. 35:12 (2017), 2758–2770.
Khan, W.U., Jameel, F., Li, X., Bilal, M., Tsiftsis, T.A., Joint spectrum and energy optimization of NOMA-enabled small-cell networks with QoS guarantee. IEEE Trans. Veh. Technol. 70:8 (2021), 8337–8342.
Ali, A., Baig, A., Awan, G.M., Khan, W.U., Sidhu, S., Efficient resource management for sum capacity maximization in 5G NOMA systems. Appl. Syst. Innov., 2(3), 2019, 27.
Jameel, F., Khan, W.U., Chang, Z., Ristaniemi, T., Liu, J., Secrecy analysis and learning-based optimization of cooperative NOMA SWIPT systems. IEEE International Conference on Communications Workshops, 2019, IEEE, 1–6.
Qian, J., Parks, A.N., Smith, J.R., Gao, F.F., Jin, S., IoT communications with M-PSK modulated ambient backscatter: algorithm, analysis, and implementation. IEEE Internet Things J. 6:1 (2018), 844–855.
Li, D., Liang, Y.C., Adaptive ambient backscatter communication systems with MRC. IEEE Trans. Veh. Technol. 67:12 (2018), 12352–12357.
Chiang, M., Nonconvex optimization for communication networks. Advances in Applied Mathematics and Global Optimization, 2009, Springer, 137–196.
Bakht, K., Jameel, F., Ali, Z., Khan, W.U., Khan, I., Sidhu, G.A.S., Lee, J.W., Power allocation and user assignment scheme for beyond 5G heterogeneous networks, Wireless Commun. Wireless Commun. & Mobile Comput., 2019.
Aman, W., Sidhu, G.A.S., Furqan, H.M., Ali, Z., Enhancing physical layer security in AF relay-assisted multicarrier wireless transmission. Trans. Emerg. Telecommun. Technol., 29(6), 2018, e3289.
Khan, W.U., Li, X., Ihsan, A., Khan, M.A., Ahmed, M., NOMA-enabled optimization framework for next-generation small-cell IoV networks under imperfect SIC decoding. IEEE Trans. Intell. Transport. Syst., 2021 1–1.