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Towards 5G: Context Aware Resource Allocation for Energy Saving

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Abstract

With the objective of providing high quality of service (QoS), 5G system will need to be context-aware that uses context information in a real-time mode depends on network, devices, applications, and the environment of users’. In order to continue enjoying the benefits provided by future technologies such as 5G, we need to find solutions for reducing energy consumption. One promising solution is taking advantage of the context information available in today’s networks. In this paper, we take a step towards 5G by utilizing context information in the scheduling process as conventional packet scheduling algorithms are mainly designed for increasing throughput but not for the energy saving. We investigate a Context Aware Scheduling (CAS) algorithm which considers the context information of users along with conventional metrics for scheduling. An information model of context awareness along with a context aware framework for resource management is also presented in this paper. CAS is simulated applying a system level simulator and the results obtained show that considerable amount of energy is saved by utilizing the context information compare to conventional scheduling algorithms.

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References

  1. Alam, M., Albano, M., Radwan, A.R., & Rodriguez, J. (2010). Context parameter prediction to prolong mobile terminal battery life. In Proceedings of the international mobile multimedia communications conf.—mobimedia, Lisboa, Portugal (pp. 1–10).

  2. Jalali, A., Padovani, R., & Pankaj, R. (2000). Data throughput of cdma-hdr a high efficiency-high data rate personal communication wireless system. In Vehicular technology conference proceedings, 2000. VTC 2000-Spring Tokyo. 2000 IEEE 51st (Vol. 3, pp. 1854–1858).

  3. Marsan, M., Chiaraviglio, L., Ciullo, D., & Meo, M. (2011). Switch-off transients in cellular access networks with sleep modes. In 2011 IEEE international conference on communications workshops (ICC) (pp. 1–6).

  4. Marsan, M. A., Chiaraviglio, L., Ciullo, D., & Meo, M. (2010). A simple analytical model for the energy-efficient activation of access points in dense wlans. In Proceedings of the 1st international conference on energy-efficient computing and networking, ser. e-Energy ’10 (pp. 159–168). New York: ACM. [Online]. Available: doi:10.1145/1791314.1791340.

  5. (2010). 3GPP TS 25.214, Physical Layer Procedures (FDD), release 8, v8.9.0.

  6. (2009). Waqas ahmad khan. Impact of DRX on VoIP Performance and Battery Life in LTE, master thesis.

  7. Wu, C.Y., Ho, H.J., & Lee, S.L. (2012). Minimizing energy consumption with qos constraints over ieee 802.16e networks. Computer Communications, 35(14), 1672–1683. [Online]. Available: doi:10.1016/j.comcom.2012.06.012.

    Article  Google Scholar 

  8. Asadi, A., & Mancuso, V. (2013). A survey on opportunistic scheduling in wireless communications (pp. 1–18).

  9. Wong, C.Y., Cheng, R., Lataief, K., & Murch, R. (1999). Multiuser ofdm with adaptive subcarrier, bit, and power allocation. IEEE Journal on Selected Areas in Communications, 17(10), 1747–1758.

    Article  Google Scholar 

  10. Ding, H., Ge, J., Benevides da Costa, D., & Jiang, Z. (2010). Energy-efficient and low-complexity schemes for uplink cognitive cellular networks. IEEE Communications Letters, 14(12), 1101–1103.

    Article  Google Scholar 

  11. Kelly, F. (1997). Charging and rate control for elastic traffic. European Transactions on Telecommunications, 8, 1.

    Article  Google Scholar 

  12. Viswanath, P., Tse, D., & Laroia, R. (2002). Opportunistic beamforming using dumb antennas. IEEE Transactions on Information Theory, 48(6), 1277–1294.

    Article  MathSciNet  MATH  Google Scholar 

  13. Kushner, H., & Whiting, P. (2004). Convergence of proportional-fair sharing algorithms under general conditions. IEEE Transactions on Wireless Communications, 3(4), 1250–1259.

    Article  Google Scholar 

  14. Proebster, M., Kaschub, M., & Valentin, S. (2011). Context-aware resource allocation to improve the quality of service of heterogeneous traffic. In 2011 IEEE International Conference on Communications (ICC) (pp. 1–6).

  15. Song, J., Gil, G.-T., & Kim, D.-H. (2010). Packet-scheduling algorithm by the ratio of transmit power to the transmission bits in 3gpp lte downlink. EURASIP Journal on Wireless Communications and Networking, 2010, pp. 6:1–6:13. [Online]. Available: doi:10.1155/2010/251281.

    Article  Google Scholar 

  16. Wong, C.Y., Cheng, R., Lataief, K., & Murch, R. (1999). Multiuser ofdm with adaptive subcarrier, bit, and power allocation. IEEE Journal on Selected Areas in Communications, 17(10), 1747–1758.

    Article  Google Scholar 

  17. 3GPP TS 23.203 Policy and charging control architecture. Retrieved 13 Feb 2015.

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Authors and Affiliations

  1. Instituto de Telecomunicações, University of Averio, Aveiro, Portugal

    Muhammad Alam, Du Yang, Kazi Huq, Firooz Saghezchi, Shahid Mumtaz & Jonathan Rodriguez

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  1. Muhammad Alam
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  2. Du Yang
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  3. Kazi Huq
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  4. Firooz Saghezchi
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  5. Shahid Mumtaz
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  6. Jonathan Rodriguez
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Correspondence to Muhammad Alam.

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Alam, M., Yang, D., Huq, K. et al. Towards 5G: Context Aware Resource Allocation for Energy Saving. J Sign Process Syst 83, 279–291 (2016). https://doi.org/10.1007/s11265-015-1061-x

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  • DOI: https://doi.org/10.1007/s11265-015-1061-x

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