Skip to main content
Top
Published in: Wireless Networks 4/2022

18-02-2022 | Original Paper

Interference management in NOMA-enabled virtualized wireless networks

Authors: Chengyi Liu, Yu Tao, Song Xing

Published in: Wireless Networks | Issue 4/2022

Log in

Activate our intelligent search to find suitable subject content or patents.

search-config
loading …

Abstract

In this paper, we address the interference management problem in non-orthogonal multiple access (NOMA)-enabled virtualized wireless networks (VWNs) by using power allocation approaches. Specifically, the power resources of the base station (BS) are shared among different service providers (called the slices), where the maximum tolerant interference is considered for each slice to guarantee their interference isolation. The interference management (IM) problem is formulated aiming to maximize the sum-rate of the system subject to the slice interference isolation, the minimum required rates of the individual users, and the power budget constraints of the whole system. Then, an optimal interference management algorithm (IMA) is proposed to solve the IM problem in a centralized manner at the BS. In addition, a computational-complexity reduced IMA (CCRIMA) is proposed with the implementation in a semi-distributed manner within each slice to obtain a suboptimal IM solution. Simulation results show that the proposed optimal power allocation in IMA achieves a flexible interference management within each slice, while supporting the minimum rate requirements of all users by adjusting the maximum tolerant interference in the slice. Moreover, the proposed CCRIMA can approximate the optimal performance of IMA in terms of the sum-rate of the system with a little computational cost of the computational complexity in each slice.

Dont have a licence yet? Then find out more about our products and how to get one now:

Springer Professional "Wirtschaft+Technik"

Online-Abonnement

Mit Springer Professional "Wirtschaft+Technik" erhalten Sie Zugriff auf:

  • über 102.000 Bücher
  • über 537 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Maschinenbau + Werkstoffe
  • Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

Springer Professional "Technik"

Online-Abonnement

Mit Springer Professional "Technik" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 390 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Maschinenbau + Werkstoffe




 

Jetzt Wissensvorsprung sichern!

Springer Professional "Wirtschaft"

Online-Abonnement

Mit Springer Professional "Wirtschaft" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 340 Zeitschriften

aus folgenden Fachgebieten:

  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Versicherung + Risiko




Jetzt Wissensvorsprung sichern!

Literature
1.
go back to reference Zhang, H., Liu, N., Chu, X., Long, K., Aghvami, A.-H., & Leung, V. C. M. (2017). Network slicing based 5G and future mobile networks: Mobility, resource management, and challenges. IEEE Communication Magazine, 55(8), 138–145.CrossRef Zhang, H., Liu, N., Chu, X., Long, K., Aghvami, A.-H., & Leung, V. C. M. (2017). Network slicing based 5G and future mobile networks: Mobility, resource management, and challenges. IEEE Communication Magazine, 55(8), 138–145.CrossRef
2.
go back to reference Saad, W., Bennis, M., & Chen, M. (2020). A vision of 6G wireless systems: Applications, trends, technologies, and open research problems. IEEE Network, 34(3), 134–142.CrossRef Saad, W., Bennis, M., & Chen, M. (2020). A vision of 6G wireless systems: Applications, trends, technologies, and open research problems. IEEE Network, 34(3), 134–142.CrossRef
3.
go back to reference Zhang, N., Liu, Y., Farmanbar, H., Chang, T., Hong, M., & Luo, Z. (2017). Network slicing for service-oriented networks under resource constraints. IEEE Journal on Selected Areas in Communications, 35(11), 2512–2521.CrossRef Zhang, N., Liu, Y., Farmanbar, H., Chang, T., Hong, M., & Luo, Z. (2017). Network slicing for service-oriented networks under resource constraints. IEEE Journal on Selected Areas in Communications, 35(11), 2512–2521.CrossRef
4.
go back to reference Habiba, U., & Hossain, E. (2018). Auction mechanisms for virtualization in 5G cellular networks: basics, trends, and open challenges. IEEE Communications Surveys & Tutorials, 20(3), 2264–2293.CrossRef Habiba, U., & Hossain, E. (2018). Auction mechanisms for virtualization in 5G cellular networks: basics, trends, and open challenges. IEEE Communications Surveys & Tutorials, 20(3), 2264–2293.CrossRef
5.
go back to reference Yang, K., Yang, N., Ye, N., Jia, M., Gao, Z., & Fan, R. (2019). Non-orthogonal multiple access: achieving sustainable future radio access. IEEE Communications Magazine, 57(2), 116–121.CrossRef Yang, K., Yang, N., Ye, N., Jia, M., Gao, Z., & Fan, R. (2019). Non-orthogonal multiple access: achieving sustainable future radio access. IEEE Communications Magazine, 57(2), 116–121.CrossRef
6.
go back to reference Shahini, A., & Ansari, N. (2019). NOMA aided narrowband IoT for machine type communications with user clustering. IEEE Internet of Things Journal, 6(4), 7183–7191.CrossRef Shahini, A., & Ansari, N. (2019). NOMA aided narrowband IoT for machine type communications with user clustering. IEEE Internet of Things Journal, 6(4), 7183–7191.CrossRef
7.
go back to reference Ali, M. S., Tabassum, H., & Hossain, E. (2016). Dynamic user clustering and power allocation for uplink and downlink non-orthogonal multiple access (NOMA) systems. IEEE Access, 4, 6325–6343. Ali, M. S., Tabassum, H., & Hossain, E. (2016). Dynamic user clustering and power allocation for uplink and downlink non-orthogonal multiple access (NOMA) systems. IEEE Access, 4, 6325–6343.
8.
go back to reference Tang, S. Y., Ma, Z., Xiao, M., & Hao, L. (2020). Hybrid transceiver design for beamspace MIMO-NOMA in code-domain for MmWave communication using lens antenna array. IEEE Journal on Selected Areas in Communications, 38(9), 2118–2127.CrossRef Tang, S. Y., Ma, Z., Xiao, M., & Hao, L. (2020). Hybrid transceiver design for beamspace MIMO-NOMA in code-domain for MmWave communication using lens antenna array. IEEE Journal on Selected Areas in Communications, 38(9), 2118–2127.CrossRef
9.
go back to reference Wang, K., Liang, W., Yuan, Y., Liu, Y., Ma, Z., & Ding, Z. (2019). User clustering and power allocation for hybrid non-orthogonal multiple access systems. IEEE Transactions on Vehicular Technology, 68(12), 12052–12065.CrossRef Wang, K., Liang, W., Yuan, Y., Liu, Y., Ma, Z., & Ding, Z. (2019). User clustering and power allocation for hybrid non-orthogonal multiple access systems. IEEE Transactions on Vehicular Technology, 68(12), 12052–12065.CrossRef
10.
go back to reference Yang, Z., Xu, W., Pan, C., Pan, Y., & Chen, M. (2017). On the optimality of power allocation for NOMA downlinks with individual QoS constraints. IEEE Communications Letter, 21(7), 1649–1652.CrossRef Yang, Z., Xu, W., Pan, C., Pan, Y., & Chen, M. (2017). On the optimality of power allocation for NOMA downlinks with individual QoS constraints. IEEE Communications Letter, 21(7), 1649–1652.CrossRef
11.
go back to reference Zhang, Y., Wang, H.-M., Zheng, T.-X., & Yang, Q. (2017). Energy-Efficient transmission design in non-orthogonal multiple access. IEEE Transactions on Vehicular Technology, 66(3), 2852–2857.CrossRef Zhang, Y., Wang, H.-M., Zheng, T.-X., & Yang, Q. (2017). Energy-Efficient transmission design in non-orthogonal multiple access. IEEE Transactions on Vehicular Technology, 66(3), 2852–2857.CrossRef
12.
go back to reference Liang, C., & Yu, F. R. (2015). Wireless network virtualization: A survey, some research issues and challenges. IEEE Communications Surveys & Tutorials, 17(1), 358–380.CrossRef Liang, C., & Yu, F. R. (2015). Wireless network virtualization: A survey, some research issues and challenges. IEEE Communications Surveys & Tutorials, 17(1), 358–380.CrossRef
13.
go back to reference Tun, Y. K., Ndikumana, A., Pandey, S. R., Han, Z., & Hong, C. S. (2020). Joint radio resource allocation and content caching in heterogeneous virtualized wireless networks. IEEE Access, 8, 36764–36775.CrossRef Tun, Y. K., Ndikumana, A., Pandey, S. R., Han, Z., & Hong, C. S. (2020). Joint radio resource allocation and content caching in heterogeneous virtualized wireless networks. IEEE Access, 8, 36764–36775.CrossRef
14.
go back to reference Goswami, D., & Das, S. S. (2020). Iterative sub-band and power allocation in downlink multiband NOMA. IEEE Systems Journal, 14(4), 5199–5209.CrossRef Goswami, D., & Das, S. S. (2020). Iterative sub-band and power allocation in downlink multiband NOMA. IEEE Systems Journal, 14(4), 5199–5209.CrossRef
15.
go back to reference Salaün, L., Coupechoux, M., & Chen, C. S. (2020). Joint subcarrier and power allocation in NOMA: optimal and approximate algorithms. IEEE Transactions on Signal Processing, 68, 2215–2230.MathSciNetCrossRef Salaün, L., Coupechoux, M., & Chen, C. S. (2020). Joint subcarrier and power allocation in NOMA: optimal and approximate algorithms. IEEE Transactions on Signal Processing, 68, 2215–2230.MathSciNetCrossRef
16.
go back to reference Wang, X., Chen, R., Xu, Y., & Meng, Q. (2019). Low-complexity power allocation in NOMA systems With IMPERFECT SIC for maximizing weighted sum-rate. IEEE Access, 7, 94238–94253.CrossRef Wang, X., Chen, R., Xu, Y., & Meng, Q. (2019). Low-complexity power allocation in NOMA systems With IMPERFECT SIC for maximizing weighted sum-rate. IEEE Access, 7, 94238–94253.CrossRef
17.
go back to reference Zhu, J., Wang, J., Huang, Y., He, S., You, X., & Yang, L. (2017). On optimal power allocation for downlink non-orthogonal multiple access systems. IEEE Journal on Selected Areas in Communications, 35(12), 2744–2757. Zhu, J., Wang, J., Huang, Y., He, S., You, X., & Yang, L. (2017). On optimal power allocation for downlink non-orthogonal multiple access systems. IEEE Journal on Selected Areas in Communications, 35(12), 2744–2757.
18.
go back to reference Fang, F., Wang, K., Ding, Z., & Leung, V. C. M. (2021). Energy-efficient resource allocation for NOMA-MEC networks with imperfect CSI. IEEE Transactions on Communications, 69(5), 3436–3449.CrossRef Fang, F., Wang, K., Ding, Z., & Leung, V. C. M. (2021). Energy-efficient resource allocation for NOMA-MEC networks with imperfect CSI. IEEE Transactions on Communications, 69(5), 3436–3449.CrossRef
19.
go back to reference Liu, B., Liu, C., & Peng, M. (2021). Resource allocation for energy-efficient MEC in NOMA-enabled massive IoT networks. IEEE Journal on Selected Areas in Communications, 39(4), 1015–1027.CrossRef Liu, B., Liu, C., & Peng, M. (2021). Resource allocation for energy-efficient MEC in NOMA-enabled massive IoT networks. IEEE Journal on Selected Areas in Communications, 39(4), 1015–1027.CrossRef
20.
go back to reference Tun, Y. K., Tran, N. H., Ngo, D. T., Pandey, S. R., Han, Z., & Hong, C. S. (2019). Wireless network slicing: Generalized kelly mechanism-based resource allocation. IEEE Journal on Selected Areas in Communications, 37(8), 1794–1807.CrossRef Tun, Y. K., Tran, N. H., Ngo, D. T., Pandey, S. R., Han, Z., & Hong, C. S. (2019). Wireless network slicing: Generalized kelly mechanism-based resource allocation. IEEE Journal on Selected Areas in Communications, 37(8), 1794–1807.CrossRef
21.
go back to reference Kim, D. H., Ahsan Kazmi, S. M., Ndikumana, A., Manzoor, A., Saad, W., & Hong, C. S. (2020). Distributed radio slice allocation in wireless network virtualization: matching theory meets auctions. IEEE Access, 8, 73494–73507.CrossRef Kim, D. H., Ahsan Kazmi, S. M., Ndikumana, A., Manzoor, A., Saad, W., & Hong, C. S. (2020). Distributed radio slice allocation in wireless network virtualization: matching theory meets auctions. IEEE Access, 8, 73494–73507.CrossRef
22.
go back to reference Parsaeefard, S., Dawadi, R., Derakhshani, M., & Le-Ngoc, T. (2016). Joint user-association and resource-allocation in virtualized wireless networks. IEEE Access, 4, 2738–2750.CrossRef Parsaeefard, S., Dawadi, R., Derakhshani, M., & Le-Ngoc, T. (2016). Joint user-association and resource-allocation in virtualized wireless networks. IEEE Access, 4, 2738–2750.CrossRef
23.
go back to reference Parsaeefard, S., Jumba, V., Derakhshani, M., & Le-Ngoc, T. (2015). Joint Resource Provisioning and Admission Control in Wireless Virtualized Networks. In 2015 IEEE Wireless Communications and Networking Conference (WCNC) (pp. 2020–2025). IEEE, New Orleans. Parsaeefard, S., Jumba, V., Derakhshani, M., & Le-Ngoc, T. (2015). Joint Resource Provisioning and Admission Control in Wireless Virtualized Networks. In 2015 IEEE Wireless Communications and Networking Conference (WCNC) (pp. 2020–2025). IEEE, New Orleans.
24.
go back to reference Ho, T. M., Tran, N. H., Kazmi, S.M.A., & Hong, C. S. (2017). Dynamic Pricing for Resource Allocation in Wireless Network Virtualization: A Stackelberg Game Approach. In 2017 IEEE International Conference on Information Networking (ICOIN) (pp. 429–434). IEEE, Da Nang. Ho, T. M., Tran, N. H., Kazmi, S.M.A., & Hong, C. S. (2017). Dynamic Pricing for Resource Allocation in Wireless Network Virtualization: A Stackelberg Game Approach. In 2017 IEEE International Conference on Information Networking (ICOIN) (pp. 429–434). IEEE, Da Nang.
25.
go back to reference Tun, Y. K., Zaw, C. W., & Hong, C. S. (2017). Downlink power allocation in virtualized wireless networks. In 2017 19th Asia-Pacific Network Operations and Management Symposium (APNOMS) (pp. 346–349). IEEE, Seoul. Tun, Y. K., Zaw, C. W., & Hong, C. S. (2017). Downlink power allocation in virtualized wireless networks. In 2017 19th Asia-Pacific Network Operations and Management Symposium (APNOMS) (pp. 346–349). IEEE, Seoul.
26.
go back to reference Chang, Z., & Chen, T. (2021). Virtual Resource Allocation for Wireless Virtualized Heterogeneous Network with Hybrid Energy Supply. IEEE Transactions on Wireless Communications, (Early Access). Chang, Z., & Chen, T. (2021). Virtual Resource Allocation for Wireless Virtualized Heterogeneous Network with Hybrid Energy Supply. IEEE Transactions on Wireless Communications, (Early Access).
27.
go back to reference Tang, L., Shi, Y., Wang, C., & Chen, Q. (2018). Adaptive virtual resource allocation in 5G network slicing using constrained markov decision process. IEEE Access, 6, 61184–61195.CrossRef Tang, L., Shi, Y., Wang, C., & Chen, Q. (2018). Adaptive virtual resource allocation in 5G network slicing using constrained markov decision process. IEEE Access, 6, 61184–61195.CrossRef
28.
go back to reference Rezvani, S., Parsaeefard, S., Mokari, N., Mokari, N., Mohammad, R., & Yanikomeroglu, H. (2019). Cooperative multi-bitrate video caching and transcoding in multicarrier NOMA-assisted heterogeneous virtualized MEC networks. IEEE Access, 7, 93511–93536.CrossRef Rezvani, S., Parsaeefard, S., Mokari, N., Mokari, N., Mohammad, R., & Yanikomeroglu, H. (2019). Cooperative multi-bitrate video caching and transcoding in multicarrier NOMA-assisted heterogeneous virtualized MEC networks. IEEE Access, 7, 93511–93536.CrossRef
29.
go back to reference Tweed, D., Parsaeefard, S., Derakhshani, M., & Le-Ngoc, T. (2017). Dynamic resource allocation for MC-NOMA VWNs with imperfect SIC. In 2017 IEEE 28th Annual International Symposium on Personal, Indoor, and Mobile Radio Communications (PIMRC) (pp. 1–5). IEEE, Montreal. Tweed, D., Parsaeefard, S., Derakhshani, M., & Le-Ngoc, T. (2017). Dynamic resource allocation for MC-NOMA VWNs with imperfect SIC. In 2017 IEEE 28th Annual International Symposium on Personal, Indoor, and Mobile Radio Communications (PIMRC) (pp. 1–5). IEEE, Montreal.
30.
go back to reference Tweed, D., & Le-Ngoc, T. (2018). Dynamic Resource Allocation for Uplink MIMO NOMA VWN with Imperfect SIC. In 2018 IEEE International Conference on Communications (ICC) (pp. 1–6). IEEE, Kansas. Tweed, D., & Le-Ngoc, T. (2018). Dynamic Resource Allocation for Uplink MIMO NOMA VWN with Imperfect SIC. In 2018 IEEE International Conference on Communications (ICC) (pp. 1–6). IEEE, Kansas.
31.
go back to reference Mohammad, A., & Ansari, N. (2021). Energy aware latency minimization for network slicing enabled edge computing. IEEE Transactions on Green Communications and Networking, 5(4), 2150–2159.MathSciNetCrossRef Mohammad, A., & Ansari, N. (2021). Energy aware latency minimization for network slicing enabled edge computing. IEEE Transactions on Green Communications and Networking, 5(4), 2150–2159.MathSciNetCrossRef
32.
go back to reference Mohammad, R., Mokhtari, F., & Ashtiani, F. (2019). Improving tradeoff among downlink rates of service providers in a VWN by using NOMA. IEEE Communication Letters, 23(1), 156–159.CrossRef Mohammad, R., Mokhtari, F., & Ashtiani, F. (2019). Improving tradeoff among downlink rates of service providers in a VWN by using NOMA. IEEE Communication Letters, 23(1), 156–159.CrossRef
33.
go back to reference Souto, V., Montejo-Sanchez, S., Rebelatto, J., Souza, R., & Uchoa-Filho, B. (2021). IRS-aided physical layer network slicing for URLLC and eMBB. IEEE Access, 9, 163086–163098.CrossRef Souto, V., Montejo-Sanchez, S., Rebelatto, J., Souza, R., & Uchoa-Filho, B. (2021). IRS-aided physical layer network slicing for URLLC and eMBB. IEEE Access, 9, 163086–163098.CrossRef
34.
go back to reference Wang, Z., Xu, T., Zhou, T., & Hu, H. (2020). Joint Tier Slicing and Power Control for a Novel Multicast System based on NOMA and D2D-Relay. In 2020 IEEE Global Communications Conference (GLOBECOM) (pp. 1–6). IEEE, Taipei. Wang, Z., Xu, T., Zhou, T., & Hu, H. (2020). Joint Tier Slicing and Power Control for a Novel Multicast System based on NOMA and D2D-Relay. In 2020 IEEE Global Communications Conference (GLOBECOM) (pp. 1–6). IEEE, Taipei.
35.
go back to reference Tominaga, E., Alves, H., L´opez, O., Souza, R., & Luiz, J. (2021). Network Slicing for eMBB and mMTC with NOMA and Space Diversity Reception. In 2021 IEEE 93rd Vehicular Technology Conference (VTC2021-Spring) (pp. 1–6). IEEE, Helsinki. Tominaga, E., Alves, H., L´opez, O., Souza, R., & Luiz, J. (2021). Network Slicing for eMBB and mMTC with NOMA and Space Diversity Reception. In 2021 IEEE 93rd Vehicular Technology Conference (VTC2021-Spring) (pp. 1–6). IEEE, Helsinki.
36.
go back to reference Mohammad, A., & Ansari, N. (2021). Network Slicing for NOMA-Enabled Edge Computing. IEEE Transactions on Cloud Computing, (Early Access). Mohammad, A., & Ansari, N. (2021). Network Slicing for NOMA-Enabled Edge Computing. IEEE Transactions on Cloud Computing, (Early Access).
37.
go back to reference Mlika, Z., & Cherkaoui, S. (2021). Network slicing with MEC and deep reinforcement learning for the internet of vehicles. IEEE Network, 35(3), 132–138.CrossRef Mlika, Z., & Cherkaoui, S. (2021). Network slicing with MEC and deep reinforcement learning for the internet of vehicles. IEEE Network, 35(3), 132–138.CrossRef
38.
go back to reference Tebe, P., Ntiamoah-Sarpong, K., Tian, W., Li, J., Huang, Y., & Wen, G. (2020). Using 5G network slicing and non-orthogonal multiple access to transmit medical data in a mobile hospital system. IEEE Access, 8, 189163–189178.CrossRef Tebe, P., Ntiamoah-Sarpong, K., Tian, W., Li, J., Huang, Y., & Wen, G. (2020). Using 5G network slicing and non-orthogonal multiple access to transmit medical data in a mobile hospital system. IEEE Access, 8, 189163–189178.CrossRef
39.
go back to reference Sinaie, M., Ng, D. W. K., & Jorswieck, E. A. (2018). Resource allocation in NOMA virtualized wireless networks under statistical delay constraints. IEEE Wireless Communication Letters, 7(6), 954–957.CrossRef Sinaie, M., Ng, D. W. K., & Jorswieck, E. A. (2018). Resource allocation in NOMA virtualized wireless networks under statistical delay constraints. IEEE Wireless Communication Letters, 7(6), 954–957.CrossRef
40.
go back to reference Dawadi, R., Parsaeefard, S., Derakhshani, M., & Le-Ngoc, T. (2016). Power-Efficient Resource Allocation in NOMA Virtualized Wireless Networks. In 2016 IEEE Global Communications Conference (GLOBECOM) (pp. 1–6). IEEE, Washington. Dawadi, R., Parsaeefard, S., Derakhshani, M., & Le-Ngoc, T. (2016). Power-Efficient Resource Allocation in NOMA Virtualized Wireless Networks. In 2016 IEEE Global Communications Conference (GLOBECOM) (pp. 1–6). IEEE, Washington.
41.
go back to reference Ho, T. M., Tran, N. H., Kazmi, S.M A., Han, Z., & Hong, C. S. (2018). Wireless Network Virtualization with Non-Orthogonal Multiple Access. In 2018 IEEE/IFIP Network Operations and Management Symposium (NOMS) (pp. 1–6). IEEE, Taipei. Ho, T. M., Tran, N. H., Kazmi, S.M A., Han, Z., & Hong, C. S. (2018). Wireless Network Virtualization with Non-Orthogonal Multiple Access. In 2018 IEEE/IFIP Network Operations and Management Symposium (NOMS) (pp. 1–6). IEEE, Taipei.
42.
go back to reference Rezvani, S., Yamchi, N. M., Javan, M. R., & Jorswieck, E. A. (2021). Resource allocation in virtualized CoMP-NOMA HetNets: multi-connectivity for joint transmission. IEEE Transactions on Communications, 69(6), 4172–4185.CrossRef Rezvani, S., Yamchi, N. M., Javan, M. R., & Jorswieck, E. A. (2021). Resource allocation in virtualized CoMP-NOMA HetNets: multi-connectivity for joint transmission. IEEE Transactions on Communications, 69(6), 4172–4185.CrossRef
43.
go back to reference Boyd, S., & Vandenberghe, L. (2004). Convex optimization. Cambridge University Press.CrossRef Boyd, S., & Vandenberghe, L. (2004). Convex optimization. Cambridge University Press.CrossRef
Metadata
Title
Interference management in NOMA-enabled virtualized wireless networks
Authors
Chengyi Liu
Yu Tao
Song Xing
Publication date
18-02-2022
Publisher
Springer US
Published in
Wireless Networks / Issue 4/2022
Print ISSN: 1022-0038
Electronic ISSN: 1572-8196
DOI
https://doi.org/10.1007/s11276-022-02911-3

Other articles of this Issue 4/2022

Wireless Networks 4/2022 Go to the issue