An Overview on Inter-Cell Interference Management in Mobile Cellular Networks

Authors

  • Mukur Gupta Assistant Professor, Department of Electrical Engineering, Vivekananda Global University, Jaipur, India Author

Keywords:

CDM, CoMP, LDS, ICI Management, UDN.

Abstract

 Between cell impedance (ICI) is turning  out to be more extreme as the requirement for high data  transmission and range productivity develops, and ICI  control assumes an undeniably fundamental part in  versatile cell organizations. This paper analyzes the  fundamental ICI the board plans utilized in versatile  correspondence frameworks from the subsequent age  (2G) to the fourth era (4G), including the essential  recurrence reuse-n plan and power control for 2G and 3G,  as well as upgraded plans like partial recurrence reuse  (FFR), practically clear subframe (ABS), and composed  multipoint transmission (CoMP) for 4G. These present  ICI the board techniques may not be sufficient for 5G,  which, because of its super thick organization (UDN)  engineering, faces exceptionally extreme ICI. Thus,  encouraging progressed ICI the executives plans are  acquainted for 5G with oversee IC, for example, created  composed correspondence procedures, where  coordination is completed at both the framework and  portable station (MS) levels, and progressed air-interface  methods with the possibility to alleviate ICI, for example,  symmetrical recurrence and code division multiplexing  (OFCDM), low-thickness flagging (LDS), and high thickness flagging (HDS) (SCMA). What's more, new  advancements in impedance arrangement (IA) are tended  to. 

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References

Y. Zhou, L. Liu, H. Du, L. Tian, X. Wang, and J. Shi, “An overview on intercell interference management in mobile cellular networks: From 2G to 5G,” in 2014 IEEE International Conference on Communication Systems, IEEE ICCS 2014, 2014.

S. Sun, Q. Gao, Y. Peng, Y. Wang, and L. Song, “Interference management through CoMP in 3GPP LTE-advanced networks,” IEEE Wirel. Commun., 2013.

Y. He, F. R. Yu, N. Zhao, H. Yin, H. Yao, and R. C. Qiu, “Big Data Analytics in Mobile Cellular Networks,” IEEE Access, 2016.

M. Cosovic, A. Tsitsimelis, D. Vukobratovic, J. Matamoros, and C. Anton-Haro, “5G Mobile Cellular Networks: Enabling Distributed State Estimation for Smart Grids,” IEEE Commun. Mag., 2017.

C. Liang and F. Yu, “Wireless virtualization for next generation mobile cellular networks,” IEEE Wirel. Commun., 2015.

E. Liotou, D. Tsolkas, N. Passas, and L. Merakos, “Quality of experience management in mobile cellular networks: Key issues and design challenges,” IEEE Commun. Mag., 2015.

W. K. Leong, Z. Wang, and B. Leong, “TCP congestion control beyond bandwidth-delay product for mobile cellular networks,” in CoNEXT 2017 - Proceedings of the 2017 13th International Conference on emerging Networking EXperiments and Technologies, 2017.

F. Bernardo, R. Agustí, J. Pérez-Romero, and O. Sallent, “An application of reinforcement learning for efficient spectrum usage in next-generation mobile cellular networks,” IEEE Trans. Syst. Man Cybern. Part C Appl. Rev., 2010.

A. M. Kurien, G. Noel, K. Djouani, B. J. Van Wyk, and A. Mellouk, “A subscriber classification approach for mobile cellular networks,” Simul. Model. Pract. Theory, 2012.

Y. Cui et al., “Performance-Aware Energy Optimization on Mobile Devices in Cellular Network,” IEEE Trans. Mob. Comput., 2017.

I. Sengupta, A. Kumar, and R. Kumar Dwivedi, “Study of SigmoidSpectral Composite Kernel based noise classifier with entropy in handling non linear separation of classes,” in 2018 5th IEEE Uttar Pradesh Section International Conference on Electrical, Electronics and Computer Engineering, UPCON 2018, 2018.

[12]N. Jain, Y. Awasthi, and R. K. Jain, “Ubiquitous sensor based intelligent system for net houses,” in Proceedings - IEEE 2021 International Conference on Computing, Communication, and Intelligent Systems, ICCCIS 2021, 2021.

A. Walia, N. Singhal, and A. K. Sharma, “A novel e learning approach to add more cognition to semantic web,” in Proceedings - 2015 IEEE International Conference on Computational Intelligence and Communication Technology, CICT 2015, 2015.

M. K. Rai, R. Khanna, and S. Sarkar, “Control of tube parameters on SWCNT bundle interconnect delay and power dissipation,” Microelectron. Int., 2014.

M. K. Rai, G. Spandana, Nivedita, and S. Sarkar, “Control of SWCNT-interconnect performance by tube-diameter,” in IEEE Region 10 Annual International Conference, Proceedings/TENCON, 2009.

M. Kaur, N. Gupta, and A. K. Singh, “Impact of geometrical parameters on performance of MWCNT based chip interconnects,” in Progress in Electromagnetics Research Symposium, 2017.

M. Jain and R. P. Agarwal, “Capacity & coverage enhancement of wireless communication using smart antenna system,” in Proceeding of IEEE - 2nd International Conference on Advances in Electrical, Electronics, Information, Communication and Bio

Informatics, IEEE - AEEICB 2016, 2016.

A. Kumar, A. Mukherjee, K. Mishra, and A. K. Chaudhary, “Channel capacity enhancement using MIMO technology,” in IEEE-International Conference on Advances in Engineering, Science and Management, ICAESM-2012, 2012.

S. Yrjölä and E. Heikkinen, “Active antenna system enhancement for supporting Licensed Shared Access (LSA) concept,” in Proceedings of the 2014 9th International Conference on Cognitive Radio

Oriented Wireless Networks and Communications, CROWNCOM 2014, 2014.

S. D. Verifier and A. H. Drive, “Simulink ® Verification and Validation TM Reference,” ReVision, 2015.

K. Banerjee and R. A. Prasad, “Reference based inter chromosomal similarity based DNA sequence compression algorithm,” in Proceeding - IEEE International Conference on Computing, Communication and Automation, ICCCA 2017, 2017.

K. Banerjee and V. Bali, “Design and development of bioinformatics feature based DNA sequence data compression algorithm,” EAI Endorsed Trans. Pervasive Heal. Technol., 2020.

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Published

2020-01-01

How to Cite

An Overview on Inter-Cell Interference Management in Mobile Cellular Networks . (2020). International Journal of Innovative Research in Computer Science & Technology, 8(1), 33–37. Retrieved from https://acspublisher.com/journals/index.php/ijircst/article/view/13355