Study of Uplink SC-FDMA Systems’s QoS and Energy Efficient Resource Allocation
Keywords:
Delay, energy efficiency, Long Term Evolution (LTE), Quality of Service (QoS), Resource allocation, uplinkAbstract
Long Term Evolution (LTE) is the popular technology so far for 4G mobile communication networks. The most important objective of LTE is to make high rate, low latency and high eminence sustaining flexible bandwidth deployments. The optimum resource allocation is formulated as a discrete connected cake cutting drawback, where completely different agents are allocated consecutive subsequences of a sequence of indivisible items. This drawback is NP-hard, thus a suboptimal algorithmic rule is introduced, that performs resource allocation using info on the estimated uplink packet delay, the standard delay and rate of past allotment, as well as the necessary uplink power per resource block. In this paper, we tend to present comparative study of various resource allocation algorithms to boost the quality of Service (QoS) provision and energy efficiency of uplink LTE.
References
Dionysia Triantafyllopoulou, Kollias, and Klaus Moessner “QoS and Energy Efficient Resource Allocation in Uplink SC-FDMA Systems” IEEE Transactions on Wireless Communications.
Adnan Aijaz, Xiaoli Chu & A. Hamid Aghvami “Energy Efficient Design of SC-FDMA Based Uplink under QoS Constraints” IEEE Wireless Communications Letters, Vol. 3, No. 2, April 2014.
D. J. Dechene, A. Shami “Energy efficient QoS constrained scheduler for SC-FDMA uplink” 1874-4907, 2012 Elsevier B.
Mohamad Kalil, Abdallah Shami, Arafat Al-Dweik “QoS-Aware Power-Efficient Scheduler for LTE Uplink” IEEE Transactions on Mobile Computing, Vol. 14, No. 8, August 2015.
F. I. Sokmen and T. Girici “Uplink Resource Allocation Algorithms for Single-Carrier FDMA Systems” In Wireless Conference 2010 (pp. 339-345). IEEE.
H. G. Myung, J. Lim, D. J. Goodman, “Single carrier FDMA for uplink wireless transmission” IEEE Vehicular Technology Magazine, vol. 1, no. 3, pp. 30-38, 2006.
J. Fan, Q. Yin, G. Y. Li, B. Peng and X. Zhu, “Joint user pairing and resource allocation for uplink SC-FDMA systems”, in Proc. 2011 TX, USA, 2011, pp. 1-5.
J. Fan, G. Y. Li, Q. Yin, B. Peng, and X. Zhu, “Joint user pairing and resource allocation for uplink LTE uplink transmission,” IEEE Transactions on Wireless Communications, vol. 11, no. 8, pp. 2838-2847, Aug. 2012.
I. C. Wong, O. Oteri and W. McCoy, “Optimal resource allocation uplink SCFDMA system”, IEEE Transactions on Wireless Communications, vol. 8, no. 5, pp. 2161-2165, 2009.
A. Ahmad, “Resource allocation and adaptive modulation in uplink SCFDMA system”, Wireless Personal Communications, vol. 75, no. 4, pp. 2217-2242, 2014.
D. J. Dechene and A. Shami, “Energy-aware resource allocation strategies for LTE uplink with synchronous HARQ constraints” IEEE Transactions on Mobile Computing, vol. 13, no. 2, pp. 422-433, 2014.
D. Triantafyllopoulou, K. Kollias and K. Moessner, “QoS and Energy Efficient Resource Allocation in Uplink SC-FDMA Systems”, IEEE Transactions on Wireless Communications, Vol. 14, no. 6, 2015.
H.-C. Jang and Y.-J. Lee, “QoS-constrained resource allocation scheduling for LTE network”, in Proc. ISWPC, Taipei, Taiwan, 2013, pp. 1-6.
A. Aijaz, X. Chu and A. H. Aghvami, “Energy efficient design of SCFDMA based uplink under QoS constraints”, IEEE Wireless Communications Letters, vol. 3, no. 2, pp. 149-152, Apr. 2014.
3rd Generation Partnership Project; Technical Specification Group Radio Access Network; Evolved Universal Terrestrial Radio Access (E-UTRA) TS 36.213, V12.4.0, Jan. 2015.
J. M. Robertson and W. A. Webb, Cake-Cutting Algorithms − Be Fair if You Can. Natick, MA, USA: A K Peters, 1998.
J. B. Barbanel, The Geometry of Efficient Fair Division. U. K.: Cambridge University Press, 2004.
Downloads
How to Cite
Issue
Section
License
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.