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Erschienen in: Wireless Personal Communications 2/2020

04.04.2020

Clustering-Based Resource Allocation Scheme for Dense Femtocells (CRADF) to Improve the Performance of User Elements

verfasst von: S. Shibu, V. Saminadan

Erschienen in: Wireless Personal Communications | Ausgabe 2/2020

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Abstract

Femtocells are densely deployed in the next generation heterogeneous cellular networks (HetNet) to improve the user performance and capacity of the cellular system. In LTE-A HetNet, multiple femto base stations (F-eNBs) sharing the spectrum with macro base station (M-eNB), create interference environment. This can be controlled by effective resource allocation scheme. In this paper, the clustering-based resource allocation scheme for dense femtocells (CRADF) is proposed to allocate suitable channels for user elements (UEs) at the dense femtocells. Most of the existing resource allocation schemes effectively assign the channels to femtocell users and mitigate the interference between the small cells and do not consider the interference from the macrocell elements. The proposed clustering-based resource allocation scheme effectively assigns the channels to UEs of both macro and femto cells in the dense LTE-A HetNet. The UE performance of the dense femtocell is analyzed for varying UE density conditions. The interference among the UEs from the macro and femtocell is quantified using graph-based technique and subsequently, the CRADF technique is used to assign the suitable channels to UE. The experimental results showed that our proposed work improved the average throughput of UE and restricted the subband handoff in the dense femtocells environment.

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Literatur
1.
Zurück zum Zitat Khan, S. A., Kavak, A., Colak, S. A., & Kucuk, K. (2019). A novel fractional frequency reuse scheme for interference management in LTE-A HetNets. IEEE Access,7, 109662–109672.CrossRef Khan, S. A., Kavak, A., Colak, S. A., & Kucuk, K. (2019). A novel fractional frequency reuse scheme for interference management in LTE-A HetNets. IEEE Access,7, 109662–109672.CrossRef
2.
Zurück zum Zitat Mishra, S., & Murthy, S. R. (2018). Increasing energy efficiency via transmit power spreading in dense femto cell networks. IEEE Systems Journal,12(1), 971–980.CrossRef Mishra, S., & Murthy, S. R. (2018). Increasing energy efficiency via transmit power spreading in dense femto cell networks. IEEE Systems Journal,12(1), 971–980.CrossRef
3.
Zurück zum Zitat Cao, J., Peng, T., Qi, Z., Duan, R., Yuan, Y., & Wang, W. (2018). Interference management in ultra dense networks: A user-centric coalition formation game approach. IEEE Transactions on Vehicular Technology,67(6), 5188–5202.CrossRef Cao, J., Peng, T., Qi, Z., Duan, R., Yuan, Y., & Wang, W. (2018). Interference management in ultra dense networks: A user-centric coalition formation game approach. IEEE Transactions on Vehicular Technology,67(6), 5188–5202.CrossRef
4.
Zurück zum Zitat Damnjanovic, A., Montojo, J., Cho, J., Ji, H., Yang, J., & Zong, P. (2012). UE’s role in LTE advanced heterogeneous networks. IEEE Communications Magazine,50(20), 164–176.CrossRef Damnjanovic, A., Montojo, J., Cho, J., Ji, H., Yang, J., & Zong, P. (2012). UE’s role in LTE advanced heterogeneous networks. IEEE Communications Magazine,50(20), 164–176.CrossRef
5.
Zurück zum Zitat Shibu, S., & Saminadan, V. (2019). Enhanced interference cancellation techniques for downlink of LTE-A heterogeneous networks. International Journal of Wireless and Mobile Computing,17(2), 149–156.CrossRef Shibu, S., & Saminadan, V. (2019). Enhanced interference cancellation techniques for downlink of LTE-A heterogeneous networks. International Journal of Wireless and Mobile Computing,17(2), 149–156.CrossRef
6.
Zurück zum Zitat Saquib, N., Hossain, E., Le, L. B., & Kim, D. I. (2012). Interference management in OFDMA femtocell networks: Issues and approaches. IEEE Wireless Communications,50(2), 86–95.CrossRef Saquib, N., Hossain, E., Le, L. B., & Kim, D. I. (2012). Interference management in OFDMA femtocell networks: Issues and approaches. IEEE Wireless Communications,50(2), 86–95.CrossRef
7.
Zurück zum Zitat Zhao, F., Ma, W., Zhou, M., & Zhang, C. (2018). A graph-based QoS-aware resource management scheme for OFDMA femtocell networks. IEEE Access,6, 1870–1881.CrossRef Zhao, F., Ma, W., Zhou, M., & Zhang, C. (2018). A graph-based QoS-aware resource management scheme for OFDMA femtocell networks. IEEE Access,6, 1870–1881.CrossRef
8.
Zurück zum Zitat Lin, Y., Zhang, R., Li, C., Yang, L., & Hanzo, L. (2018). Graph-based joint user-centric overlapped clustering and resource allocation in ultra dense networks. IEEE Transactions on Vehicular Technology,67(5), 4440–4453.CrossRef Lin, Y., Zhang, R., Li, C., Yang, L., & Hanzo, L. (2018). Graph-based joint user-centric overlapped clustering and resource allocation in ultra dense networks. IEEE Transactions on Vehicular Technology,67(5), 4440–4453.CrossRef
9.
Zurück zum Zitat Liang, L., Wang, W., Jia, Y., & Fu, S. (2016). A cluster-based energy-efficient resource management scheme for ultra-dense networks. IEEE Access,4, 6823–6832.CrossRef Liang, L., Wang, W., Jia, Y., & Fu, S. (2016). A cluster-based energy-efficient resource management scheme for ultra-dense networks. IEEE Access,4, 6823–6832.CrossRef
10.
Zurück zum Zitat Zhou, L., Hu, X., Ngai, E. C.-H., Zhao, H., Wang, S., Wei, J., et al. (2016). A dynamic graph-based scheduling and interference coordination approach in heterogeneous cellular networks. IEEE Transactions on Vehicular Technology,65(5), 3735–3748.CrossRef Zhou, L., Hu, X., Ngai, E. C.-H., Zhao, H., Wang, S., Wei, J., et al. (2016). A dynamic graph-based scheduling and interference coordination approach in heterogeneous cellular networks. IEEE Transactions on Vehicular Technology,65(5), 3735–3748.CrossRef
11.
Zurück zum Zitat Niu, C., Li, Y., Hu, R. Q., & Ye, F. (2017). Fast and efficient radio resource allocation in dynamic ultra-dense heterogeneous networks. IEEE Access,5, 1911–1924. Niu, C., Li, Y., Hu, R. Q., & Ye, F. (2017). Fast and efficient radio resource allocation in dynamic ultra-dense heterogeneous networks. IEEE Access,5, 1911–1924.
12.
Zurück zum Zitat Hatoum, A., Langar, R., Aitsaadi, N., Boutaba, R., & Pujolle, G. (2014). Cluster-based resource management in OFDMA femtocell networks with QoS guarantees. IEEE Transactions on Vehicular Technology,63(5), 2378–2391.CrossRef Hatoum, A., Langar, R., Aitsaadi, N., Boutaba, R., & Pujolle, G. (2014). Cluster-based resource management in OFDMA femtocell networks with QoS guarantees. IEEE Transactions on Vehicular Technology,63(5), 2378–2391.CrossRef
13.
Zurück zum Zitat Elsherif, A. R., Chen, W.-P., Ito, A., & Ding, Z. (2015). Adaptive resource allocation for interference management in small cell networks. IEEE Transactions on Communications,63(6), 2107–2125.CrossRef Elsherif, A. R., Chen, W.-P., Ito, A., & Ding, Z. (2015). Adaptive resource allocation for interference management in small cell networks. IEEE Transactions on Communications,63(6), 2107–2125.CrossRef
14.
Zurück zum Zitat Wang, Y.-C., & Chien, K.-C. (2018). EPS: Energy-efficient pricing and resource scheduling in LTE-A heterogeneous networks. IEEE Transactions on Vehicular Technology,67(9), 8832–8845.CrossRef Wang, Y.-C., & Chien, K.-C. (2018). EPS: Energy-efficient pricing and resource scheduling in LTE-A heterogeneous networks. IEEE Transactions on Vehicular Technology,67(9), 8832–8845.CrossRef
15.
Zurück zum Zitat Amiri, R., Almasi, M. A., Andrews, J. G., & Mehrpouyan, H. (2019). Reinforcement learning for self organization and power control of two-tier heterogeneous networks. IEEE Transactions on Wireless Communications,18(8), 3933–3947.CrossRef Amiri, R., Almasi, M. A., Andrews, J. G., & Mehrpouyan, H. (2019). Reinforcement learning for self organization and power control of two-tier heterogeneous networks. IEEE Transactions on Wireless Communications,18(8), 3933–3947.CrossRef
16.
Zurück zum Zitat Khodmi, A., Rejeb, S. B., Agoulmine, N., & Choukair, Z. (2019). A joint power allocation and user association based on non-cooperative game theory in an heterogeneous ultra-dense network. IEEE Access,7, 111790–111800.CrossRef Khodmi, A., Rejeb, S. B., Agoulmine, N., & Choukair, Z. (2019). A joint power allocation and user association based on non-cooperative game theory in an heterogeneous ultra-dense network. IEEE Access,7, 111790–111800.CrossRef
17.
Zurück zum Zitat Zhao, N., Liang, Y.-C., Niyato, D., Pei, Y., Wu, M., & Jiang, Y. (2019). Deep reinforcement learning for user association and resource allocation in heterogeneous cellular networks. IEEE Transactions on Wireless Communications,18(11), 5141–5152.CrossRef Zhao, N., Liang, Y.-C., Niyato, D., Pei, Y., Wu, M., & Jiang, Y. (2019). Deep reinforcement learning for user association and resource allocation in heterogeneous cellular networks. IEEE Transactions on Wireless Communications,18(11), 5141–5152.CrossRef
18.
Zurück zum Zitat Le, N.-T., Tran, L.-N., Vu, Q.-D., & Jayalath, D. (2019). Energy-efficient resource allocation for OFDMA heterogeneous networks. IEEE Transactions on Communications,67(10), 7043–7057.CrossRef Le, N.-T., Tran, L.-N., Vu, Q.-D., & Jayalath, D. (2019). Energy-efficient resource allocation for OFDMA heterogeneous networks. IEEE Transactions on Communications,67(10), 7043–7057.CrossRef
19.
Zurück zum Zitat Zhang, H., Yang, K., & Zhang, S. (2019). Resource allocation based on interference alignment with clustering for data stream maximization in dense small cell networks. IEEE Access,7, 161831–161848.CrossRef Zhang, H., Yang, K., & Zhang, S. (2019). Resource allocation based on interference alignment with clustering for data stream maximization in dense small cell networks. IEEE Access,7, 161831–161848.CrossRef
20.
Zurück zum Zitat Liang, L., Xie, S., Li, G. Y., Ding, Z., & Yu, X. (2018). Graph-based resource sharing in vehicular communication. IEEE Transactions on Wireless Communications,17(7), 4579–4592.CrossRef Liang, L., Xie, S., Li, G. Y., Ding, Z., & Yu, X. (2018). Graph-based resource sharing in vehicular communication. IEEE Transactions on Wireless Communications,17(7), 4579–4592.CrossRef
21.
Zurück zum Zitat Li, J., Meng, Y., Li, H., & Suo, L. (2015). Graph-based fair resource allocation scheme combining interference alignment in femtocell networks. IET Communications,9(2), 211–218.CrossRef Li, J., Meng, Y., Li, H., & Suo, L. (2015). Graph-based fair resource allocation scheme combining interference alignment in femtocell networks. IET Communications,9(2), 211–218.CrossRef
22.
Zurück zum Zitat Meng, Y., Li, J., Li, H., & Pan, M. (2015). Transformed conflict graph-based resource-allocation scheme combining interference alignment in OFDMA femtocell networks. IEEE Transactions on Vehicular Technology,64(10), 4728–4737.CrossRef Meng, Y., Li, J., Li, H., & Pan, M. (2015). Transformed conflict graph-based resource-allocation scheme combining interference alignment in OFDMA femtocell networks. IEEE Transactions on Vehicular Technology,64(10), 4728–4737.CrossRef
23.
Zurück zum Zitat Li, H., Xu, X., Hu, D., Tao, X., Zhang, P., Ci, S., et al. (2011). Clustering strategy based on graph method and power control for frequency resource management in femtocell and macrocell overlaid system. Journal of Communications and Networks,13(6), 664–677.CrossRef Li, H., Xu, X., Hu, D., Tao, X., Zhang, P., Ci, S., et al. (2011). Clustering strategy based on graph method and power control for frequency resource management in femtocell and macrocell overlaid system. Journal of Communications and Networks,13(6), 664–677.CrossRef
24.
Zurück zum Zitat Tang, R., Zhao, J., & Qu, H. (2015). Joint optimization of channel allocation, link assignment and power control for device-to-device communication under laying cellular network. China Communications,12(12), 92–100.CrossRef Tang, R., Zhao, J., & Qu, H. (2015). Joint optimization of channel allocation, link assignment and power control for device-to-device communication under laying cellular network. China Communications,12(12), 92–100.CrossRef
Metadaten
Titel
Clustering-Based Resource Allocation Scheme for Dense Femtocells (CRADF) to Improve the Performance of User Elements
verfasst von
S. Shibu
V. Saminadan
Publikationsdatum
04.04.2020
Verlag
Springer US
Erschienen in
Wireless Personal Communications / Ausgabe 2/2020
Print ISSN: 0929-6212
Elektronische ISSN: 1572-834X
DOI
https://doi.org/10.1007/s11277-020-07273-7

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