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Appl. Sci. 2017, 7(4), 394;

An Improved Radio Resource Management with Carrier Aggregation in LTE Advanced

Department of Electrical Engineering, Faculty of Engineering, University of Malaya, Kuala Lumpur 50603, Malaysia
Department of Computer Science & Engineering, Faculty of Science & Engineering, East West University, Dhaka 1212, Bangladesh
Author to whom correspondence should be addressed.
Academic Editor: Christos Bouras
Received: 17 February 2017 / Revised: 6 April 2017 / Accepted: 12 April 2017 / Published: 14 April 2017
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Long term evolution-advanced (LTE-A) system introduces carrier aggregation (CA) technique to improve the user throughput by aggregating multiple component carriers (CCs). Previous research works related to downlink radio resource allocation with carrier aggregation have not considered the delay factor and the error probability. Therefore, the previous methods are unable to provide better quality of service (QoS) compared to the LTE-A standard. This paper considers the radio resource management problem by zooming into the head of line delay, probability of packet loss, and the delay threshold for different types of data. In doing this, several constraints are imposed following the specifications of LTE-A system. Hence, an improved method is developed in this study to enhance the system throughput and to maintain the computational complexity. Extensive simulations were carried out with other well-known methods to verify the overall performance of the proposed method. The result obtained indicates that the proposed method outperforms the previous methods in the measurement of average user throughput, average cell throughput, fairness index, and spectral efficiency. View Full-Text
Keywords: LTE-advanced; carrier aggregation; component carrier; scheduling algorithm; greedy method LTE-advanced; carrier aggregation; component carrier; scheduling algorithm; greedy method

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Chayon, H.R.; Dimyati, K.; Ramiah, H.; Reza, A.W. An Improved Radio Resource Management with Carrier Aggregation in LTE Advanced. Appl. Sci. 2017, 7, 394.

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