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 CN  Vol.8 No.2 , May 2016
Load Sensitive Power Saving Technique for 4G Mobile Network under Limited User Traffic
Abstract: Power saving is one of the key factors of emerging 4G mobile network as well as in IEEE 802.16e wireless metropolitan area networks (Wireless MAN). An efficient power saving mechanism is the heart for the guarantee of a long operating lifetime for a mobile subscriber station (MS), because MSs are normally driven by rechargeable batteries. It is a vital factor for Base Station (BS) of the same network. One of the most important features of 5G mobile is the extension of battery energy 10 times greater than the present days. In this context, the evaluation of duration of sleep mode of BS or MS based on traffic load of a network is now a new era of research work. In this paper, such analysis has been done based on two statistical models: Poisson’s pdf and Engset pdf. The concept of complete sharing and partitioning of user group of teletraffic engineering is applied to measure the possibility of getting leisure time of BS or MS. Both the traffic models used in the paper are applicable in both limited and unlimited user network, i.e. in micro and fem to cellular network of 4G and 5G.
Cite this paper: Hossain, M. , Islam, M. and Amin, M. (2016) Load Sensitive Power Saving Technique for 4G Mobile Network under Limited User Traffic. Communications and Network, 8, 79-87. doi: 10.4236/cn.2016.82009.
References

[1]   Yang, C.-C., Chen, J.-Y., Mai, Y.-T. and Liu, H.-H. (2016) Integrated Power Saving for Relay Node and User Equipment in LTE-A. International Journal of Communication Systems, 29, 1342-1364.

[2]   Nguyen, V.C., Pham, V.T. and Moon, B.-K. (2011) A New Energy Saving Mechanism in IEEE 802.16e/m. International Journal of Energy, Information and Communications, 2, 157-168.

[3]   Bhaskaran, A.M. (2013) Energy Efficient Communication for IEEE 802.16e/m Networks. International Journal of Emerging Technology and Advanced Engineering, 3, 428-432.

[4]   Chen, J.-S.R., Chang, Y.C. and Mei, H. (2015) Enhanced Power Saving Mechanism to Maximize Unavailability Interval in the IEEE 802.16 Mobile WiMAX. WSEAS Transactions on Communications, 14, 82-88.

[5]   Gaikwad, V., Sharma, M. and Wagh, T. (2015) DTX Mechanism at Evolve Node for Efficient Power Saving in LTE Network. International Journal of Wireless and Microwave Technologies, 5, 47-55.
http://dx.doi.org/10.5815/ijwmt.2015.05.05

[6]   Liang, J.M., Hsieh, P.C., Chen, J.J. and Tseng, Y.C. (2013) Energy-Efficient DRX Scheduling for Multicast Transmissions in 3GPP LTE-Advanced Wireless Networks. 2013 IEEE Wireless Communications and Networking Conference (WCNC), Shanghai, April 2013, 551-556.

[7]   Yang, C.C., Mai, Y.T., Chen, J.Y. and Kuo, Y.C. (2012) Integrated Load-Based Power Saving for BS and MSS in the IEEE 802.16 e Network. International Journal of Future Computer and Communication, 1, 83.
http://dx.doi.org/10.7763/IJFCC.2012.V1.22

[8]   Yang, C.C., Chen, J.Y., Mai, Y.T. and Liang, C.H. (2015) Adaptive Load-Based and Channel-Aware Power Saving for Non-Real-Time Traffic in LTE. EURASIP Journal on Wireless Communications and Networking, 2015, 215.
http://dx.doi.org/10.1186/s13638-015-0435-x

[9]   Chen, J., Tarn, W.H. and Lee, J.D. (2014) A Downlink and Uplink Alignment Scheme for Power Saving in IEEE802.16 Protocol. The Scientific World Journal, 2014, Article ID: 217973.
http://dx.doi.org/10.1155/2014/217973

[10]   Glabowski, M. (2008) Modeling Systems with Multi-Service Overflow Erlang and Engset Traffic Streams. International Journal on Advances in Telecommunications, 1, 14-26.

[11]   Veerarajan, T. (2003) Probability, Statistics and Random Process. Chap. 9, Tata McGraw-Hill Publishing Company Limited, New Delhi, 468-516.

[12]   Ross, S.M. (2001) Introduction to Probability Models. 7th Edition, Academic Press, San Diego, USA, 216-225.

[13]   Islam, I., Das, J.K. and Hossain, S. (2007) Modeling of Mixed Traffic for Mobile Cellular Network. Journal of Telecommunications and Information Technology, nr 1, 83-89.

[14]   Morley, G.D. and Grover, W.D. (2000) Strategies to Maximize Carried Traffic in Dual-Mode Cellular Systems. IEEE Transactions on Vehicular Technology, 49, 357-366.
http://dx.doi.org/10.1109/25.832966

[15]   Islam, M.I., Rabbi, M.F., Khan, R.T. and Akhter, J. (2015) Performance Evaluation of Cognitive Radio Network Based on 2-D Markov Chain. Journal of Telecommunications and Information Technology, No. 3, 39.

[16]   Hossain, M.A., Islam, M.I. and Amin, M.R. (2015) Analysis of Sleep Window of IEEE802.16m Network Based on State Transition Chain. Journal of Computer and Communications, 3, 77.
http://dx.doi.org/10.4236/jcc.2015.312007

[17]   Zhou, K., Nikaein, N. and Spyropoulos, T. (2013) LTE/LTE-A Discontinuous Reception Modeling for Machine Type Communications. IEEE Transactions on Wireless Communications Letters, 2, 102-105.

 
 
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