How to search?
advanced search

Search results

Filters

  • Journals
  • Authors
  • Keywords
  • Date
  • Type

Search results

Number of results: 2
items per page: 25 50 75
Sort by:

Robust Schemes to Enhance Energy Consumption Efficiency for Millimeter Wave-Based Microcellular Network in Congested Urban Environments

MHD Nour Hindia Faizan Qamar Henry Ojukwu Rosilah Hassan Kaharudin Dimyati
International Journal of Electronics and Telecommunications | 2021 | vol. 67 | No 3 | 417-424 | DOI: 10.24425/ijet.2021.137828
Keywords Micro-cell energy 5G millimeter-wave cell sectoring smart antenna
Download PDF Download RIS Download Bibtex

Abstract

Future wireless communication networks will be largely characterized by small cell deployments, typically on the order of 200 meters of radius/cell, at most. Meanwhile, recent studies show that base stations (BS) account for about 80 to 95 % of the total network power. This simply implies that more energy will be consumed in the future wireless network since small cell means massive deployment of BS. This phenomenon makes energy-efficient (EE) control a central issue of critical consideration in the design of future wireless networks. This paper proposes and investigates (the performance of) two different energy-saving approaches namely, adaptive-sleep sectorization (AS), adaptive hybrid partitioning schemes (AH) for small cellular networks using smart antenna technique. We formulated a generic base-model for the above-mentioned schemes and applied the spatial Poisson process to reduce the system complexity and to improve flexibility in the beam angle reconfiguration of the adaptive antenna, also known as a smart antenna (SA). The SA uses the scalable algorithms to track active users in different segments/sectors of the microcell, making the proposed schemes capable of targeting specific users or groups of users in periods of sparse traffic, and capable of performing optimally when the network is highly congested. The capabilities of the proposed smart/adaptive antenna approaches can be easily adapted and integrated into the massive MIMO for future deployment. Rigorous numerical analysis at different orders of sectorization shows that among the proposed schemes, the AH strategy outperforms the AS in terms of energy saving by about 52 %. Generally, the proposed schemes have demonstrated the ability to significantly increase the power consumption efficiency of micro base stations for future generation cellular systems, over the traditional design methodologies.
Go to article

Bibliography

[1] F. Qamar, M. U. A. Siddiqui, M. Hindia, R. Hassan, and Q. N. Nguyen, "Issues, Challenges, and Research Trends in Spectrum Management: A Comprehensive Overview and New Vision for Designing 6G Networks," Electronics, vol. 9, no. 9, p. 1416, 2020.
[2] M. N. Hindia, F. Qamar, H. Ojukwu, K. Dimyati, A. M. Al-Samman, and I. S. Amiri, "On Platform to Enable the Cognitive Radio Over 5G Networks," Wireless Personal Communications, vol. 113, no. 2, pp. 1241-1262, 2020.
[3] S. Malathy et al., "An optimal network coding based backpressure routing approach for massive IoT network," Wireless Networks, pp. 1-18, 2020.
[4] F. Qamar, M. H. S. Siddiqui, M. N. Hindia, K. Dimyati, T. Abd Rahman, and M. S. A. Talip, "Propagation Channel Measurement at 38 GHz for 5G mm-wave communication Network," in 2018 IEEE Student Conference on Research and Development (SCOReD), 2018: IEEE, pp. 1-6.
[5] T. Abbas, F. Qamar, I. Ahmed, K. Dimyati, and M. B. Majed, "Propagation channel characterization for 28 and 73 GHz millimeter-wave 5G frequency band," in Research and Development (SCOReD), 2017 IEEE 15th Student Conference on, 2017: IEEE, pp. 297-302.
[6] F. Qamar, K. Dimyati, M. N. Hindia, K. A. Noordin, and I. S. Amiri, "A stochastically geometrical poisson point process approach for the future 5G D2D enabled cooperative cellular network," IEEE Access, vol. 7, pp. 60465-60485, 2019.
[7] F. Qamar et al., "Investigation of future 5G-IoT millimeter-wave network performance at 38 GHz for urban microcell outdoor environment," Electronics, vol. 8, no. 5, p. 495, 2019.
[8] M. N. Hindia, F. Qamar, T. A. Rahman, and I. S. Amiri, "A stochastic geometrical approach for full-duplex MIMO relaying model of high-density network," Ad Hoc Networks, vol. 74, pp. 34-46, 2018.
[9] A. Gachhadar, F. Qamar, D. S. Dong, M. B. Majed, E. Hanafi, and I. S. Amiri, "Traffic Offloading in 5G Heterogeneous Networks using Rank based Network Selection," Journal of Engineering Science and Technology Review, vol. 12, no. 2, pp. 9-16, 2019.
[10] J. Zhang, X. Ge, Q. Li, M. Guizani, and Y. Zhang, "5G millimeter-wave antenna array: design and challenges," IEEE Wireless Communications, vol. 24, no. 2, pp. 106-112, 2017.
[11] F. Qamar, M. N. Hindia, K. Dimyati, K. A. Noordin, and I. S. Amiri, "Interference management issues for the future 5G network: a review," Telecommunication Systems, pp. 1-17, 2019.
[12] Mohd Zaki, I., & Rosilah, H. (2019). The Implementation of Internet of Things using Test Bed in the UKMnet Environment. Asia-Pac. J. Inf. Technol. Multimed, 8.
[13] C. Isheden, Z. Chong, E. Jorswieck, and G. Fettweis, "Framework for link-level energy efficiency optimization with informed transmitter," IEEE Transactions on Wireless Communications, vol. 11, no. 8, pp. 2946-2957, 2012.
[14] D. Willkomm, S. Machiraju, J. Bolot, and A. Wolisz, "Primary user behavior in cellular networks and implications for dynamic spectrum access," IEEE Communications Magazine, vol. 47, no. 3, 2009.
[15] M. N. Hindia, F. Qamar, M. B. Majed, T. A. Rahman, and I. S. Amiri, "Enabling remote-control for the power sub-stations over LTE-A networks," Telecommunication Systems, pp. 1-17, 2018.
[16] J. Joung, C. K. Ho, and S. Sun, "Tradeoff of spectral and energy efficiencies: Impact of power amplifier on OFDM systems," in Global Communications Conference (GLOBECOM), 2012 IEEE, 2012: IEEE, pp. 3274-3279.
[17] G. Auer et al., "D2. 3: Energy efficiency analysis of the reference systems, areas of improvements and target breakdown," Earth, vol. 20, no. 10, 2010.
[18] L. M. Correia et al., "Challenges and enabling technologies for energy aware mobile radio networks," IEEE Communications Magazine, vol. 48, no. 11, 2010.
[19] F. Qamar, K. B. Dimyati, M. N. Hindia, K. A. B. Noordin, and A. M. Al-Samman, "A comprehensive review on coordinated multi-point operation for LTE-A," Computer Networks, vol. 123, pp. 19-37, 2017.
[20] K. A. B. Noordin, M. N. Hindia, F. Qamar, and K. Dimyati, "Power allocation scheme using PSO for amplify and forward cooperative relaying network," in Science and information conference, 2018: Springer, pp. 636-647.
[21] R. Giuliano, F. Mazzenga, and F. Vatalaro, "Smart cell sectorization for third generation CDMA systems," Wireless Communications and Mobile Computing, vol. 2, no. 3, pp. 253-267, 2002.
[22] Z. Hasan, H. Boostanimehr, and V. K. Bhargava, "Green cellular networks: A survey, some research issues and challenges," arXiv preprint arXiv:1108.5493, 2011.
[23] G. Cili, H. Yanikomeroglu, and F. R. Yu, "Cell switch off technique combined with coordinated multi-point (CoMP) transmission for energy efficiency in beyond-LTE cellular networks," in 2012 IEEE International Conference on Communications (ICC), 2012: IEEE, pp. 5931-5935.
[24] C. Liu, B. Natarajan, and H. Xia, "Small cell base station sleep strategies for energy efficiency," IEEE Transactions on Vehicular Technology, vol. 65, no. 3, pp. 1652-1661, 2015.
[25] Y. Wu, S. Fahmy, and N. B. Shroff, "Optimal sleep/wake scheduling for time-synchronized sensor networks with QoS guarantees," IEEE/ACM Transactions on Networking (TON), vol. 17, no. 5, pp. 1508-1521, 2009.
[26] C. Hartmann, Radio Resource Management in Cellular F/TDMA Smart Antenna Systems. Herbert Utz Verlag, 2017.
[27] D. González, H. Hakula, A. Rasila, and J. Hämäläinen, "Spatial mappings for planning and optimization of cellular networks," IEEE/ACM Transactions on Networking, vol. 26, no. 1, pp. 175-188, 2017.
[28] I. Amiri, D. S. Dong, Y. M. Pokhrel, A. Gachhadar, R. K. Maharjan, and F. Qamar, "Resource Tuned Optimal Random Network Coding for Single Hop Multicast future 5G Networks," International Journal of Electronics and Telecommunications, vol. 65, no. 3, pp. 463-469, 2019.
[29] A. Ebrahim and E. Alsusa, "Interference and resource management through sleep mode selection in heterogeneous networks," IEEE Transactions on Communications, vol. 65, no. 1, pp. 257-269, 2017.
[30] H. Zhang, S. Huang, C. Jiang, K. Long, V. C. Leung, and H. V. Poor, "Energy efficient user association and power allocation in millimeter-wave-based ultra dense networks with energy harvesting base stations," IEEE Journal on Selected Areas in Communications, vol. 35, no. 9, pp. 1936-1947, 2017.
[31] A. H. M. Aman, E. Yadegaridehkordi, Z. S. Attarbashi, R. Hassan, and Y.-J. Park, "A Survey on Trend and Classification of Internet of Things Reviews," IEEE Access, vol. 8, pp. 111763-111782, 2020.
[32] L. Fan, R. Zhao, F.-K. Gong, N. Yang, and G. K. Karagiannidis, "Secure multiple amplify-and-forward relaying over correlated fading channels," IEEE Transactions on Communications, vol. 65, no. 7, pp. 2811-2820, 2017.
[33] M. N. Hindia, M. M. Fadoul, T. Abdul Rahman, and I. S. Amiri, "A Stochastic Geometry Approach to Full-Duplex MIMO Relay Network," Wireless Communications and Mobile Computing, vol. 2018, 2018.
[34] J.-A. Tsai, R. M. Buehrer, and B. D. Woerner, "BER performance of a uniform circular array versus a uniform linear array in a mobile radio environment," IEEE Transactions on Wireless Communications, vol. 3, no. 3, pp. 695-700, 2004.
[35] S. W. Turner and S. Uludag, "6 Toward Smart Cities," Smart Grid: Networking, Data Management, and Business Models, p. 117, 2017.
[36] A. Gachhadar, M. N. Hindia, F. Qamar, M. H. S. Siddiqui, K. A. Noordin, and I. S. Amiri, "Modified genetic algorithm based power allocation scheme for amplify-and-forward cooperative relay network," Computers & Electrical Engineering, 2018.
Go to article

Authors and Affiliations

MHD Nour Hindia
1
Faizan Qamar
2
Henry Ojukwu
1
Rosilah Hassan
3
Kaharudin Dimyati
1
  1. Department of Electrical Engineering, Faculty of Engineering, University of Malaya, 50603 Kuala Lumpur, Malaysia
  2. Faculty of Information Science and Technology, Universiti Kebangsaan Malaysia (UKM), 43600 Bangi, Selangor, Malaysia
  3. Network and Communication Technology (NCT) Lab, Centre for Cyber Security, Fakulti Teknologi & Sains Maklumat (FTSM), Universiti Kebangsaan Malaysia (UKM), 43600 UKM, Bangi, Selangor Malaysia

Fuzzy Logic Based Intelligent Data Sensitive Security Model for Big Data in Healthcare

Somya Dubey Dhanraj Verma
International Journal of Electronics and Telecommunications | 2022 | vol. 68 | No 2 | 245-250 | DOI: 10.24425/ijet.2022.139874
Keywords microstrip patch adaptive antennas parabolic reflector beamforming antenna arrays smart antenna
Download PDF Download RIS Download Bibtex

Abstract

An intelligent security model for the big data environment is presented in this paper. The proposed security framework is data sensitive in nature and the level of security offered is defined on the basis of the data secrecy standard. The application area preferred in this work is the healthcare sector where the amount of data generated through the digitization and aggregation of medical equipment’s readings and reports is huge. The handling and processing of this great amount of data has posed a serious challenge to the researchers. The analytical outcomes of the study of this data are further used for the advancement of the medical prognostics and diagnostics. Security and privacy of this data is also a very important aspect in healthcare sector and has been incorporated in the healthcare act of many countries. However, the security level implemented conventionally is of same level to the complete data which not a smart strategy considering the varying level of sensitivity of data. It is inefficient for the data of high sensitivity and redundant for the data of low sensitivity. An intelligent data sensitive security framework is therefore proposed in this paper which provides the security level best suited for the data of given sensitivity. Fuzzy logic decision making technique is used in this work to determine the security level for a respective sensitivity level. Various patient attributes are used to take the intelligent decision about the security level through fuzzy inference system. The effectiveness and the efficacy of the proposed work is verified through the experimental study.
Go to article

Authors and Affiliations

Somya Dubey
1
Dhanraj Verma
1
  1. Dr. A. P. J. Abdul Kalam University, Indore, India

This page uses 'cookies'. Learn more