Performance Investigation of Joint User-Proportional Fair Scheduling Algorithm in LTE-Advanced System with Carrier Aggregation

  IJETT-book-cover  International Journal of Engineering Trends and Technology (IJETT)          
  
© 2017 by IJETT Journal
Volume-50 Number-4
Year of Publication : 2017
Authors : Haitham S Ben Abdelmula, M. N.Mohd Warip, Ong Bi Lynn, Naimah Yaakob
DOI :  10.14445/22315381/IJETT-V50P232

Citation 

Haitham S Ben Abdelmula, M. N.Mohd Warip, Ong Bi Lynn, Naimah Yaakob "Performance Investigation of Joint User-Proportional Fair Scheduling Algorithm in LTE-Advanced System with Carrier Aggregation", International Journal of Engineering Trends and Technology (IJETT), V50(4),198-202 August 2017. ISSN:2231-5381. www.ijettjournal.org. published by seventh sense research group

Abstract
Carrier Aggregation (CA) is a promising technology that proposed by 3GPP in the latest LTE-Advanced (LTE-A) criterions in order to satisfy the future IMT-Advanced mobile networks demands. While CA allows aggregation of component carriers (CCs) dispersed within and transversely in diverse bands (intra/inter-band), CA is expected to offer a powerful boost to the user throughput in LTE-Advanced system. In addition, it will permit the achievement of the target peak data rates in excess of 1 Gbps in the downlink and 500 Mbps in the uplink in which the users has the right to use up to 100 MHz total of bandwidth. The mixture of LTE-A and LTE users within a multi-carrier LTE-A network may perhaps exist simultaneously. Each of them has various CA capabilities. The former has the ability to assign on multiple CCs, whereas the later can allocate on one CC. Moreover, they demand diverse QoS requirements which present new challenges to optimize the performance of LTE-Advanced system. Therefore, the choice of scheduling strategies plays a key role in guaranteeing desirable end to end system performance. The study of this paper will be beneficial for understanding the radio resource management (RRM) function with carrier aggregation feature. In addition, this article presents the Joint User- Proportional Fair scheduling scheme (JUS-PF) for resource allocation and its impacts on two deployment scenarios which are LTE-A users and mixture (LTE/LTE-A) users’ scenario in terms of average user throughput, cell edge user throughput, and fairness.

Reference
[1] “3GPP, TR 36.851,” Inter-band Carrier Aggregation Technical Report (Release 12).
[2] H. Lee, S. Vahid, and K. Moessner, “A survey of radio resource management for spectrum aggregation in LTE-advanced,” IEEE Communications Surveys & Tutorials, vol. 16, pp 745–760, 2014.
[3] K. I. Pedersen, F. Frederiksen, C. Rosa, H. Nguyen, L. Garcia, and Y. Wang, “Carrier aggregation for LTE-advanced: functionality and performance aspects,” IEEE Communications Magazine, vol. 49, pp. 89–95, 2011.
[4] Y. Wang, K. I. Pedersen, T.B. Sorensen, and P. E. Mogensen, “ Carrier load balancing and packet scheduling for multi-carrier systems,” IEEE Transactions on Wireless Communications, vol. 9, pp. 1780–1789, 2010.
[5] H. Liao, Po-Yu. Chen, and Wen-Tsuen Chen, “An Efficient Downlink Radio Resource Allocation with Carrier Aggregation in LTE-Advanced Networks,” IEEE Transactions on Mobile Computing, vol. 13, pp. 2229- 2239, 2014.
[6] A. Ali, R. Nordin, M. Ismail, and H. Abdullah, “An Efficient Scheduling Scheme for OFDMA Resource Blocks with Joint User Scheduling based on Earliest Deadline First with Carrier Aggregation (CA) in LTE-A System,” Wireless Personal Communications, vol. 88, pp. 173-183, Oct. 2015.

Keywords
Carrier Aggregation, Component Carriers, LTE User, LTE-A User, RRM, JUS-PF.