Mobile Networks and Applications

, Volume 22, Issue 5, pp 868–879 | Cite as

On Demand Resource Allocation for LTE Uplink Transmission Based on Logical Channel Groups

  • Fang-Chang Kuo
  • Kuo-Chang Ting
  • Hwang-Cheng Wang
  • Chih-Cheng Tseng
Article
  • 138 Downloads

Abstract

It is a hard task to allocate wireless resources for uplink transmission in LTE system. The main goals of previous research aimed at maximizing system throughput or fairness among UEs, while the real requirements of UEs were not considered. The result is that Resource Blocks (RBs) allocated by eNB are usually wasted and the requirements of UEs are not satisfied. We proposed an AAG-2 scheduling scheme, which can ensure the QoS of Guaranteed Bit Rate (GBR) bearers and at the same time efficiently allocate RBs to non-GBR bearers so as to improve resource utilization. In order to facilitate the management of bearers, the 3GPP (3rd Generation Partnership Project) suggested dividing bearers into four Logical Channel Groups (LCGs), rather than just GBR and non-GBR bearers. So far, 3GPP has not specified the mapping between LCGs and bearers of different QoS Class Identifiers (QCIs), but leaves the decision to system operators. In this paper, we propose a new scheme, AAG-LCG, wherein bearers are classified into four LCGs with different priority levels. With the proposed scheme, eNB can efficiently allocate RBs to meet the QoS requirements of various LCG bearers while maintaining sound overall system performance.

Keywords

LTE Uplink scheduling Resouce allocation EWMA AAG-2 AAG-LCG 

Notes

Acknowledgements

This paper is supported by Ministry of Science and Technology of Taiwan under grant No. 104-2221-E-197-007, 104-2221-E-197-009, 104-2221-E-197-016. The authors would like to also thank Shing-Jye Huang and Jia-Hao Xu, who helped the simulation work.

References

  1. 1.
    3GPP (2015) TS 23.401: Technical Specification Group Services and System Aspects; General Packet Radio Service (GPRS) enhancements for Evolved Universal Terrestrial Radio Access Network (E-UTRAN) access, v. 13.2.0Google Scholar
  2. 2.
    3GPP (2017a) TS 36.300: Evolved Universal Terrestrial Radio Access (E-UTRA) and Evolved Universal Terrestrial Radio Access Network (E-UTRAN); Overall description; Stage 2, v. 13.7.0Google Scholar
  3. 3.
    Ruiz de Temino LAM, Berardinelli G, Frattasi S, Mogensen P (2008) Channel-aware scheduling algorithms for SC-FDMA in LTE uplink. In: IEEE 19th International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC), Cannes, France, 15–18 Sept 2008Google Scholar
  4. 4.
    Liu F, She X, Chen L, Otsuka H (2010) Improved recursive maximum expansion scheduling algorithms for uplink single carrier FDMA system. In: IEEE 71st Vehicular Technology Conference (VTC 2010-Spring), Taipei, Taiwan, 16–19 May 2010, p 1–5Google Scholar
  5. 5.
    Noh J-H, Oh S-J (2009) Distributed SC-FDMA resource allocation algorithm based on the hungarian method. In: IEEE 70th Vehicular Technology Conference fall (VTC 2009-Fall), Anchorage, Alaska, USA, 20–23 Sept 2009, p 1–5Google Scholar
  6. 6.
    Nwamadi O, Zhu X, Nandi A (2008) Dynamic subcarrier allocation for single carrier—FDMA systems. In: 16th European signal processing Conference (EUSIPCO-2008), Lausanne, Switzerland, 25–29 Aug 2008, p 1–5Google Scholar
  7. 7.
    Delgado O, Jaumard B (2010) Scheduling and resource allocation for multiclass services in LTE uplink systems. In: IEEE 6th international conference on wireless and mobile computing, Networking and communications (WiMob), Niagara Falls, Canada, 11–13 Oct 2010, p 355–360Google Scholar
  8. 8.
    Iosif O, Banica I (2011) LTE uplink analysis using two packet scheduling models. In: 19th telecommunications forum (TELFOR), Belgrade, Serbia, 22–24 Nov 2011, p 394–397Google Scholar
  9. 9.
    Lee S-B, Pefkianakis I, Meyerson A, Xu S, Lu S (2009) Proportional fair frequency-domain packet scheduling for 3GPP LTE uplink. In: IEEE INFOCOM, Rio De Janeiro, Brazil, 19–25 April 2009, p 2611–2615Google Scholar
  10. 10.
    Calabrese FD, Michaelsen PH, Rosa C, Anas M, Castellanos CU, Villa DL et al (2008) Search-tree based uplink channel aware packet scheduling for UTRAN LTE. In: IEEE Vehicular Technology Conference, VTC Spring, Pan Pacific Hotel Singapore, 11–14 May 2008, p 1949–1953Google Scholar
  11. 11.
    Safa H, El-Hajj W, Tohme K (2013) A QoS-aware uplink scheduling paradigm for LTE networks. In: IEEE 27th International Conference on Advanced Information Networking and Applications, AINA, Barcelona, Spain, 25–28 March 2013, p 1097–1104Google Scholar
  12. 12.
    Kuo F-C, Wang H-C, Ting K-C, Tseng C-C, Liu P-E (2012) Robust LTE uplink scheduling based on call admission control. In: International Conference on ICT Convergence (ICTC), Jeju, South Korea, 15–17 Oct 2012, p 548–552Google Scholar
  13. 13.
    Kuo F-C, Ting K-C, Wang H-C, Tseng C-C, Chen M-W (2017) Differentiating and scheduling LTE uplink traffic based on exponentially weighted moving average of data rate. Mobile Networks and Applications 22(1):113–124Google Scholar
  14. 14.
    3GPP (2017b) TS 36.321: Evolved Universal Terrestrial Radio Access (E-UTRA); Medium Access Control (MAC) protocol specification, v.13.5.0Google Scholar
  15. 15.
    Kuo F-C, Tseng C-C, Ting K-C, Wang H-C (2016) Resource allocation scheme for LTE uplink transmission based on logical channel groups. Presented at the 12th International Conference on Heterogeneous Networking for Quality, Reliability, Security and Robustness (QShine 2016), Seoul, South Korea, 7–8 July 2016, p 1–10Google Scholar

Copyright information

© Springer Science+Business Media New York 2017

Authors and Affiliations

  • Fang-Chang Kuo
    • 1
  • Kuo-Chang Ting
    • 2
  • Hwang-Cheng Wang
    • 1
  • Chih-Cheng Tseng
    • 3
  1. 1.Department of Electronic EngineeringNational Ilan UniversityYilan CityTaiwan
  2. 2.Departments of Business Administration and Information EngineeringMinghsin University of Science and TechnologyXinfeng TownshipTaiwan
  3. 3.Department of Electrical EngineeringNational Ilan UniversityYilan CityTaiwan

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