Thursday, February 14, 2019

Optimization of Packet Length for MIMO systems



Ghassan Alnwaimi1, Hatem Boujemaa2, Kamran Arshad3

1King Abdulaziz University, Kingdom of Saudi Arabia
2Sup’Com, COSIM Laboratory, Tunisia
3Ajman University, United Arab Emirates
ABSTRACT

In this article, a method to enhance the throughput for Multiple Input Multiple Output (MIMO) systems by optimizing packet length is proposed. Two adaptation algorithms are proposed. In the first algorithm, we use the Average Signal to Noise Ratio (ASNR) to choose the optimal packet length and Modulation and Coding Scheme (MCS) in order to maximize the throughput. In the second algorithm, packet length and MCS are adapted with respect to the Instantaneous received SNR (ISNR). This article concludes that the variable packet length gives up to 1.8 dB gain with respect to the Fixed Packet Length (FPL).

KEYWORDS

MIMO systems, Optimal packet length, Rayleigh fading channels.



  
REFERENCES

1]      Pallaviram Sure; Narendra Babu C; Chandra Mohan Bhuma, “Large random matrix-based channel estimation for massive MIMO-OFDM uplink”, IET Communications, Year: 2018, Volume: 12, Issue: 9 Pages: 1035 - 1041.

[2]     Chung Duc Ho; Hien Quoc Ngo; Michail Matthaiou; Long D. Nguyen, “Power Allocation for Multi-Way Massive MIMO Relaying”, IEEE Transactions on Communications, Year: 2018,( Early Access ), Pages: 1 - 1.

[3]     Guili Zhou; Youming Li; Yu-Cheng He; Xiaoli Wang; Mingchen Yu, “Artificial fish swarm based power allocation algorithm for MIMO-OFDM relay underwater acoustic communication”, IET Communications, Volume: 12, Issue: 9 Pages: 1079 - 1085, 2018.

[4]     Narayan Prasad; Xiao Feng Qi, “Downlink multi-user MIMO scheduling with performance guarantees”, 2018 16th International Symposium on Modeling and Optimization in Mobile, Ad Hoc, and Wireless Networks (WiOpt), Pages: 1 - 8, 2018.

[5]     Jawad Mirza; Gan Zheng; Kai-Kit Wong; Sangarapillai Lambotharan; Lajos Hanzo, “On the Performance of Multiuser MIMO Systems Relying on Full-Duplex CSI Acquisition”, IEEE Transactions on Communications, Year: 2018.

[6]     Parag Aggarwal; Vivek Ashok Bohara, “Analytical Characterization of Dual-Band MultiUser MIMO-OFDM System with Nonlinear Transmitter Constraints”, IEEE Transactions
on Communications, Year: 2018.

[7]     Muhammad Hanif; Hong-Chuan Yang; Gary Boudreau; Edward Sich; Hossein Seyedmehdi, “Antenna subset selection for massive MIMO systems: A trace-based sequential approach for sum rate maximization”, Journal of Communications and Networks, Volume: 20, Issue: 2 Pages: 144 - 155, 2018.

[8]     Harun Siljak; Irene Macaluso; Nicola Marchetti, “Distributing Complexity: A New Approach to Antenna Selection for Distributed Massive MIMO”, IEEE Wireless Communications Letters, 2018.

[9]     Walid Al-Hussaibi; Falah H. Ali, “A Closed-Form Approximation of Correlated Multiuser MIMO Ergodic Capacity with Antenna Selection and Imperfect Channel Estimation”, IEEE Transactions on Vehicular Technology, Year: 2018, ( Early Access ).

[10]   Nir Shlezinger; Roee Shaked; Ron Dabora, “On the Capacity of MIMO Broadband Power Line Communications Channels”, IEEE Transactions on Communications, Year: 2018, ( Early Access ), Pages: 1 - 1.

[11]   Chun-Tao Lin; Ronald Y. Chang; Fan-Shuo Tseng, “Source and Relay Precoding for FullDuplex MIMO Relaying with a SWIPT-Enabled Destination”, IEEE Communications Letters, Year: 2018, ( Early Access ), Pages: 1 - 1.

[12]   Cheol Jeong; MinChul Ju; Sung Ho Chae, “MIMO Decode-and-Forward Relay Systems With an Energy-Constrained Antenna-Switching Relay”, IEEE Communications Letters,
Year: 2017, Volume: 21, Issue: 8, Pages: 1851 - 1854.

[13]   Ishtiaq Ahmad; Khoa D. Nguyen; Andre Pollok; Nick Letzepis, “ Multi-hopping loss in MIMO decode-and-forward cooperative relaying”, 2016 IEEE 27th Annual International Symposium on Personal, Indoor, and Mobile Radio Communications (PIMRC), Year: 2016 Pages: 1 - 6

[14]   Zhengzheng Xiang; Meixia Tao; Jianhua Mo; Xiaodong Wang, “Degrees of Freedom for MIMO Two-Way X Relay Channel”, IEEE Transactions on Signal Processing, Year: 2013, Volume: 61, Issue: 7, Pages: 1711 - 1720.

[15]   Santosh Timilsina; Gayan Amarasuriya Aruma Baduge; Rafael F. Schaefer, “Secure Communication in Spectrum-Sharing Massive MIMO Systems with Active Eavesdropping”,
IEEE Transactions on Cognitive Communications and Networking, Year: 2018, ( Early Access ) Pages: 1 - 1.

[16]   Mohammad Vahid Jamali; Pooya Nabavi; Jawad A. Salehi, “MIMO Underwater Visible Light Communications: Comprehensive Channel Study, Performance Analysis, and
Multiple-Symbol Detection”, IEEE Transactions on Vehicular Technology, Year: 2018, ( Early Access )

[17]   Y. Xi, A. Burr, J. B. Wei, D. Grace, “ A general upper bound to evaluate packet error rate over quasi-static fading channels”, IEEE Trans. Wireless Communications, vol. 10, nO 5, pp 1373-1377, May 2011.

[18]   J. G. Proakis, Digital Communications, Third edition, Mc Graw Hill, 1995.

[19]   S. Y. Liu, X. Wu, Y. Xi, J. Wei, “On the throughput and OPL of an uncoded ARQ system over slow Rayleigh fading channels”, IEEE Communication Letters, Vol. 16, no 8, pp. 1173-1175, August 2012.

Techniques for Offloading lte Evolved Packet Core Traffic Using Open flow: A Comparative Survey & Design Reference



Kam Nasim1 and Trevor James Hall2

1Department of Electrical and Computer Engineering, University of Ottawa, Canada
2Professor and Canada Research Chair in Photonic Network Technology, University of Ottawa, Canada

ABSTRACT

Cellular users of today have an insatiable appetite for bandwidth and data. Data-intensive applications, such as video on demand, online gaming and video conferencing, have gained prominence. This, coupled with recent innovations in the mobile network such as LTE/4G, poses a unique challenge to network operators in how to extract the most value from their deployments while reducing their Total Cost of Operations (TCO). To this end, a number of enhancements have been proposed to the “conventional” LTE mobile network. Most of these recognize the monolithic and non-elastic nature of the mobile backend and propose complimenting core functionality with concepts borrowed from Software Defined Networking (SDN). In this paper, we will attempt to explore some existing options within the LTE standard to address traffic challenges. We then survey some SDN-enabled alternatives and comment on their merits and drawbacks.

KEYWORDS

SDN, LTE, EPC, open flow, mobile networks, deep packet inspection, network applications.




REFERENCES

[1]     Opendaylight platform. https://www.opendaylight.org/. Accessed: 2016-01-30.


[2]     Global Games Market Grows to $86.1bn in 2016. http://www.newzoo.com/pressreleases/global-games-market-grows-to-86-1bn-in-2016, October 2013.


[3]     Mojdeh Amani, Toktam Mahmoodi, Mallikarjun Tatipamula, and Hamid Aghvami. Sdn based data offloading for sdn based data offloading for 5g mobile networks g mobile networks. ZTECOMMUNICATIONS, page 34, 2014.


[4]     Arijit Banerjee, Xu Chen, Jeffrey Erman, Vijay Gopalakrishnan, Seungjoon Lee, and Jacobus Van Der Merwe. Moca: a lightweight mobile cloud offloading architecture. In Proceedings of the eighth ACM international workshop on Mobility in the evolving internet architecture, pages 11–16. ACM, 2013.


[5]     ArsanyBasta, Wolfgang Kellerer, Marco Hoffmann, Karel Hoffmann, and E-D Schmidt. A virtual sdn-enabled lteepc architecture: a case study for s-/p-gateways functions. In Future Networks and Services (SDN4FNS), 2013 IEEE SDN for, pages 1–7. IEEE, 2013.

[6]     Siwar Ben Hadj Said, Malla Reddy Sama, KarineGuillouard, Lucian Suciu, Gael Simon, Xavier Lagrange, and Jean-Marie Bonnin. New control plane in 3gpp lte/epc architecture for on-demand connectivity service. In Cloud Networking (CloudNet), 2013 IEEE 2nd International Conference on, pages 205–209. IEEE, 2013.


[7]     Gustavo Carneiro. Ns-3: Network simulator 3. In UTM Lab Meeting April, volume 20, 2010.


[8]     KJS Chadha, CF Hunnicutt, SR Peck, and J Tebes. Advanced mobile phone service: Mobile telephone switching office. Bell System Technical Journal, 58(1):71–95, 1979.


[9]     Margaret Chiosi, Don Clarke, P Willis, A Reid, J Feger, M Bugenhagen, W Khan, M Fargano, C Cui, H Deng, et al. Network functions virtualisation introductory white paper. In SDN and OpenFlow World Congress, 2012.


[10]   Junguk Cho, Binh Nguyen, Arijit Banerjee, Robert Ricci, Jacobus Van der Merwe, and Kirk Webb. Smore: software-defined networking mobile offloading architecture. In Proceedings of the 4th workshop on All things cellular: operations, applications, & challenges, pages 21–26. ACM, 2014.


[11]   Cisco Visual Networking Index Cisco. Global mobile data traffic forecast update, 2013–2018. white paper, 2014.


[12]   Cisco Visual Networking Index Cisco. Global mobile data traffic forecast update, 2016–2021. white paper, 2017.


[13]   OpenFlow Switch Consortium et al. Openflow switch specification version 1.1. 0 implemented (wire protocol 0x02), february 2011.

[14]   SouheirEido and Annie Gravey. How much lte traffic can be offloaded? In Advances in Communication Networking, pages 48–58. Springer, 2014.


[15]   Raj Jain, Dah-Ming Chiu, and William Hawe. A quantitative measure of fairness and discrimination for resource allocation in shared computer systems. 1998.


[16]   Amit Kumar, Jyotsna Sengupta, and Yun-fei Liu. 3gpp lte: The future of mobile broadband. Wireless Personal Communications, 62(3):671–686, 2012.


[17]   Alcatel Lucent. The lte network architecturea comprehensive tutorial. Strategic Whitepaper, 2009.


[18]   Kanthi Nagaraj and Sachin Katti. Procel: Smart traffic handling for a scalable software epc. In Proceedings of the third workshop on Hot topics in software defined networking, pages 43–48. ACM, 2014.

[19]   Kam Nasim. AETOS: An Architecture for Offloading Core Software Defined Networking Concepts. Master’s thesis, University of Ottawa, 2016.


[20]   CISCO Global Visual Networking and Cloud Index.Forecast and methodology, 2011-2016.


[21]   George F. Riley and Thomas R. Henderson. Modeling and Tools for Network Simulation, chapter The ns-3 Network Simulator, pages 15–34. Springer Berlin Heidelberg, Berlin, Heidelberg, 2010.


[22]   CB Sankaran. Data offloading techniques in 3gpp rel-10 networks: A tutorial. Communications Magazine, IEEE, 50(6):46–53, 2012.



























Procedure of Effective Use of Cloudlets in Wireless Metropolitan Area Network Environment



Rashid Alakbarov and Oqtay Alakbarov

Institute of Information Technology, Azerbaijan National Academy of Sciences, Azerbaijan

Abstract


The article develops a method to ensure the efficient use of cloudlet resources by the mobile users. The article provides a solution to the problem of correct use of cloudlets located on the movement route of mobile users in Wireless Metropolitan Area Networks - WMAN environment. Conditions for downloading necessary applications to the appropriate cloudlet using the possible values that determine the importance and coordinates of the cloudlets were studied. The article provides a model of the mobile user's route model in metropolitan environments and suggests a method for solving the problem.

Keywords


Mobile computing clouds, cloudlet network, mobile user, route model, connection channel, metropolitan area network, virtual machine.


  

REFERENCES

[1]     R.M. Alguliyev, R.K. Alekperov, “Cloud Computing: Modern State, Problems and Prospects”, Telecommunications and Radio Engineering, vol.72, no.3, 2013, pp.255-266.

[2]     H. T. Dinh, C. Lee, D. Niyato, P. Wang, “A survey of mobile cloud computing: Architecture, applications, and approaches,” Wireless Communications and Mobile Computing, vol.13, no.18, 2013, pp.1587-1611.

[3]     T. Diaby, B.B. Rad, “Cloud Computing: A review of the Concepts and Deployment Models”, International Journal of Information Technology and Computer Science, vol.9, no.6, 2017, pp.50-58.

[4]     R. Alakbarov, F. Pashayev, M. Hashimov, “Development of  the Method of Dynamic Distribution of Users’ Data in Storage Devices in Cloud Technology,” Advances in Information Sciences and Service Sciences, vol.8,  no.1, 2016, pp.16-21.

[5]     O.P. Akomolafe, M.O. Abodunrin, “A Hybrid Cryptographic Model for Data Storage in Mobile Cloud Computing,” I. J. Computer Network and Information Security, no.6, 2017, pp.53-60.

[6]     Y.C. Shim, “Effects of cloudlets on interactive applications in mobile cloud computing environments,” International Journal of Advanced Computer Technology, vol.4, no.1, 2015, pp. 54-62.

[7]     M.Satyanarayanan, P.Bahl, R.Caceres, N.Davies, “The case forvm-based cloudlets in mobile computing,” Pervasive Computing, IEEE, vol.8, no.4, 2009, pp.14-23.

[8]     K. Ha, P. Pillai, W. Richter, Y. Abe, M. Satyanarayanan. “Just-in-time provisioning for cyberforaging,” in Proceeding of the 11th annual international conference on Mobile systems, applications, and services. ACM, 2013, pp.153-166.

[9]     Y.C. Shim, ”Effects of cloudlets on interactive applications in mobile cloud computing environments,” International Journal of Advanced Computer Technology, vol.4, no.1, 2015, pp.54-62.

[10]   H. Qi, A. Gani, “Research on Mobile Cloud Computing: Review, Trend and Perspectives,” İEEE 2nd International Conference on Digital Information and Communication Technology and its Applications, 2012, pp. 195-202.

[11]   Y.Li ,W. Wang, “The Unheralded Power of Cloudlet Computing in the Vicinity of  Mobile Devices,” IEEE Global Communications Conference (GLOBECOM), 2013, pp. 4959-4964.

[12]   R.K. Alekberov, F.H. Pashayev, O.R. Alekperov, “Effective Use Method of Cloudlet Resources by Mobile Users,” 11th IEEE International Conference on Application of Information and Communication Technologies. Moscow, 2017, pp. 401-403.

[13]   M.Jia, W.Liang, Z.Xu, M.Huang, “Cloudlet load balancingin wireless metropolitanarea networks,” IEEE, 10-14 April, 2016, pp. 730-738.

[14]   C. Shi, V. Lakafosis, M.H. Ammar, E.W. Zegura, “Serendipity: enabling remote computing among intermittently connected mobile devices,” in Proc.  of  the ACM  MobiHoc, 2012, pp.145-154.

[15]   R.G. Alakbarov, F.H. Fahrad, O.R. Alakbarov, “Forecasting Cloudlet Development on Mobile Computing Clouds,” I.J. Information Technology and Computer Science, no.11, 2017, pp.23-34.

[16]   D. Sarddar, R. Bose, “A Mobile Cloud Computing Architecture with Easy Resource Sharing,” International Journal of Current Engineering and Technology. vol.4, no.3, 2014, pp.1249-1254.

[17]   M. Jia, J. Cao, W. Liang, “Optimal Cloudlet Placement and User to Cloudlet Allocation in Wireless Metropolitan Area Networks,” IEEE Transactions on Cloud Computing, vol.5, no.4, 2017, pp.725-737.

[18]   E. Gelenbe, R. Lent, M. Douratsos, “Choosing a local or remote cloud,” Proceedings of 2nd International Symposium on Network Cloud Computing and Applications, 2012, pp.25-30.

[19]   T. Verbelen, P. Simoens, F. D. Turck, and B. Dhoedt, “Cloudlets: Bringing the cloud to the mobile user,” Proceedings of 3rd workshop on Mobile Cloud Computing and Services, ACM, 2012. pp.29-36,

[20]   F. Liu, P. Shu, H. Jin,  L. Ding,  J. Yu, D. Niu, B. Li, “Gearing resource-poor mobile devices with power fulclouds: architectures, challenges, and applications,” IEEE Wireless Communications. vol.20, no.3, 2013, pp.14-22.

[21]   A.A. Mikryukov. R.I. Hantimirov, “The task of the initial allocation of resources in cloud computing environments based on the analytic hierarchy process,” Applied Informatics. no.8, 2015, pp.184-185.
  
[22]   Z. Xu, W. Liang, W. Xu, M. Jia, S. Guo, “Efficient Algorithms for Capacitated Cloudlet,” Placements. IEEE Transactions on Parallel and Distributed Systems, vol.27, no.10, 2016, pp. 2866-2880.

[23]   P. Gupta, S. Gupta, “Mobile Cloud Computing: The Future of Cloud,” International Journal of Advanced Research in Electrical, Electronics and Instrumentation Engineering. vol.1, no.3, 2012, pp.134-144.

[24]   M. Goyal, S. Singh, “Mobile Cloud Computing,” International Journal of Enhanced Research in Science Technology& Engineering, vol.3, no.4, 2014, pp. 517-521.

[25]   T. Diaby, B.B. Rad. “Cloud Computing: A review of the Concepts and Deployment Models,” International Journal of Information Technology and Computer Science, vol. 9, no. 6, 2017, pp. 50-58.

[26]   G. Huerta-Canepa, D. Lee, “A virtual cloud computing provider for mobile devices,” International Journal of Advance Research, Ideas and Innovations in Technology. Vol. 3, issue3, 2017, pp. 411-414. 

[27]   D. Sarddar, R. Bose, “A Mobile Cloud Computing Architecture with Easy Resource Sharing,” International Journal of Current Engineering and Technology. vol.4, no.3, 2014, pp.1249-1254.

  
AUTHOR

Dr. Rashid Alakbarov graduated from-Automation and Computer Engineering‖ faculty of Azerbaijan Polytechnic University named after C.Ildirim. He received his PhD degree in 2006 from Supreme Attestation Commission under the President of the Republic of Azerbaijan. His primary research interests include various areas in cloud computing, data processing, computer networks, virtual computing, particularly in the area of distributed computing. He is head of department at the Institute of Information Technology as of 2002. Since 2010, he has been leading the development of "AzScience Net" infrastructure. In 2011, he was appointed a deputy director of the institute by the decision of the Presidium of Azerbaijan National Academy of Sciences. He is the author of 85 scientific papers, including 5 inventions.

Mr. Oqtay Alakbarov is PhD student of Institute of Information Technology of Azerbaijan National Academy of Sciences. His primary research interests include various areas in cloud computing, mobile cloud computing, mobile technologies, particularly in the area of cloud technology applications. He is the author of 3 journal scientific papers and 3 proceedings.

Broadband Power line Communication: The Channel And Noise Analysis For A Power line Network




Mukesh Kumar Varma, Zainual Abdin Jaffery and Ibraheem

FET, Department of Electrical Engineering, Jamia Millia Islamia, NewDelhi, India

Abstract

The scope for broadband powerline Communication is considered as a retrofit technology for wide geographical coverage wherever the human habitation exists. So during the last decade, it has drawn an enormous quantity of research work for improving communication performance and this system being standardized all over the world.  The broadband power line Communication channel modelling is essential in the design of a reliable communications system. An analysis on the proposed channel model is conducted in this paper; also the paper studied the noises in Broadband powerline Communication network and its mathematical model. The channel Transfer function and Error Performance of Proposed powerline communication System noise is evaluated with various digital modulation techniques Bit error rate (BER) and signal to noise ratio (SNR) curve by using simulation software. The results indicated that the noise analysis is effective for modelling the power line communication channel.  Also, we have presented the various studies on the channel performance based on Orthogonal frequency-division Multiplexing (OFDM) systems for an efficient design of a Broadband Powerline Communication (BPLC) system.

Keywords

Channel model, transfer function, noise modelling, Bit error ratio, orthogonal frequency-division multiplexing.


  
  
REFERENCES


[1]     Zimmermann M.and Klaus Dostert (2002) “A multipath model for the power line channel” IEEE Trans. On Communications, vol.50, N0.4, pp.553-559.

[2]     Manfred Zimmermann, Klaus Dostert (1999), A Multi-Path Signal Propagation Model for the Power Line Channel in the High Frequency Range, ISPLC, UK, pp. 44- 51.

[3]     H. Meng, S. Chen, Y. L. Guan, C. L. Law, P. L. So, E. Gunawan, and T. T. Lie (2004), “Modeling of transfer characteristics for the broadband power line communication channel” IEEE Transactions on Power Delivery, Vol.19, N0.3, pp.1057-1064

[4]     H. Meng, S. Chen, and Y. L. Guan, (2005) “Modeling and Analysis of Noise Effects on Broadband Power-Line Communications” IEEE Transactions on Power Delivery, Vol.20, N0.2, pp.630-637.

[5]     Zimmermann M. and Klaus Dostert (2002) “Analysis and modeling of impulsive noise in broadband power line communications” IEEE Transactions of Electro-magnetic compatibility, vol. 44, N0.1, pp.249-258.

[6]     H. Phillips, (1999),” Modeling of powerline communication channels”, in Proceedings of International Symposium on Power Line Communications and Its Applications (ISPLC 99), UK, pp.14-21.

[7]     Papadopoulos T.A., Christos G. Kaloudas, A.I. Chrysochos and Grigoris K. Papagiannis (2013),” Application of narrowband power line communication in medium voltage smart distribution grids”, IEEE Transactions on Power Delivery, vol.28 (2), pp.981-988.

[8]     Papadopoulos T.A., A.I. Chrysochos and Grigoris K. Papagiannis (2013) “Narrowband power line communication: Medium voltage cable modeling and laboratory experimental results”, ELSEVIER, Electric power systems research, 102, pp.50-60.

[9]     S. Galli, T. Banwell, (2006) “A deterministic frequency-domain model for the indoor power line transfer function”, IEEE Journal on Selected Areas in Communications 24 (7), pp.1304–1316.
[10]   P. Amirshahi, F. Canete, K. Dostert, S. Galli, M. Katayama, M. Kavehrad, (2010) “Power Line Communications: Theory and Applications for Narrowband and Broadband Communications over Power Lines,”1st Edition, Wiley.

[11]   Mukesh Kumar Varma, Zainul Abdin Jaffery and Ibraheem, (2015) “Advances of Broadband power line communication and its application”, 12’th IEEE International Conference INDICON, JMI, New Delhi, India, pp. 17-20.

[12]   Mukesh Kumar Varma, Zainul Abdin Jaffery and Ibraheem, (2018) “A comprehensive study on channel modeling of broadband communication over low voltage power line” proceeding IEEE sponsored 5’th International Conference on Signal Processing and Integrated Networks, SPIN 2018, Amity University, Noida, India, pp.22-23.

[13]   Justinian Anatory, Nelson Theethayi and Rajeev Thottappillil, (2009) “Effects of Multipath on OFDM Systems for Indoor Broadband Power-Line Communication Networks”, IEEE Transactions on power delivery, vol. 24, no.3, pp. 1190-1197.

[14]   Andrea M. Tonello, Salvatore D’Alessandro, and Lutz Lampe, (2010) “Cyclic Prefix Design and Allocation in Bit-Loaded OFDM over Power Line Communication Channels”, IEEE Transactions on Communications, vol. 58, no. 11, pp. 3265-3276.

[15]   Anatory Justinian, Nelson Theethayi and Rajeev Thottappillil (2009) “Performance of Underground Cables That Use OFDM Systems for Broadband Power-Line Communications” IEEE Trans. On Power Delivery, vol.24, N0.4, pp. 1889-1897.

[16]   Seema Arora, Vinay Kumar Chandna and Mini S. Thomas, (2012)" Performance Analysis of 16-QAM using OFDM for Transmission of Data over Power Lines " ELSEVIOR, Energy Procedia 14, pp.1723-1729.

[17]   Konark Sharma and Lalit Mohan Saini, (2015)" Performance analysis of smart metering for smart grid: An overview “ELSEVIER Journal of Renewable and Sustainable Energy Reviews 49, pp.720-735.

[18]   Philipps, H.,(1999) "Modelling of powerline communication channels” international Symposium on Power-Line Communications (ISPLC '99), Lancaster, UK, pp. 14-21.

[19]   Philipps, H., (2000) " Development of a Statistical Model for Powerline Communication Channels” in proceedings of IEEE International Symposium on Power-Line Communications and its application (ISPLCA), pp. 153-160.

[20]   Mukesh Kumar Varma, Zainul Abdin Jaffery and Ibraheem Nasiruddin (2018) “Analysis of High Performance Low Power Broadband Powerline Channel using S-Parameter” International journal of Research in Electronics and computer Engineering, IJRECE Vol. 6, Issue 3, ISSN: 2393-9028 (Print) | ISSN: 2348-2281 (Online).

Authors

 
Zainual Abdin Jaffery is professor and Head of the department in Electrical   Engineering Department at the Jamia Millia Islamia New Delhi. He received his B.Sc. (engg.), M.Sc.(engg) from AMU. Aligarh in 1987 and 1989 respectively,  and Ph.D. degree in Digital  signal processing from Jamia Millia Islamia, New Delhi in 2004. Professor Jaffery is a senior member of the IEEE society. He is reviewer for several reputed journals and conferences, he is author and co-authored of around 50 technical papers. His research  interest in Digital signal processing, Image processing, and Digital system design.
                                  
Ibraheem is senior professor at Jamia Millia Islamia, New Delhi and having about 29 years’   academic-teaching experience. Presently he is working as Full professor at Qassim University, Arabia. He received his B.Sc. M.Sc.(engg.), Ph.D. from AMU, Aligarh in 1982,1987 and 2000 respectively. He is author and co-author of about 203 research papers in reviewed journals and international conferences and published one book on recent trends on power system management. He is life members of ISTE, IEEE society. His research interests include power system operation and control. 
                                                                                                              
Mukesh Kumar Varma received his BE (Electrical Engineering) in 1993 from RDVV, Jabalpur (M.P.) and M. Tech.in 2011 from Jamia Millia Islamia, New Delhi. He is a Ph.D. student at Department of Electrical Engineering, Faculty of Engineering and Technology, Jamia Millia Islamia, New Delhi. He is currently working as Senior Lecturer with G.B. Pant Institute of Technology, under Directorate of Training and Technical Education, New Delhi. His research interests and research activity are focuses on power line communications and powerline channel modelling.