Citation

Lee, Ying Loong and Loo, Jonathan and Chuah, Teong Chee (2018) Dynamic Resource Management for LTE-Based Hybrid Access Femtocell Systems. IEEE Systems Journal, 12 (1). pp. 959-970. ISSN 1932-8184

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Abstract

Hybrid access femtocells for long term evolution (LTE)-based cellular networks provide a tradeoff between closed and open access femtocells whereby all subscribers are granted access albeit with priority given to closed access subscribers. Due to the need to accommodate both closed and open access subscribers, quality of service (QoS) provisioning for LTE-based hybrid access femtocells has become more challenging. This paper addresses this issue and proposes a new dynamic resource management scheme for such hybrid architectures. In particular, the proposed scheme first classifies and performs lexicographic admission control on the incoming traffic data flows using an optimal greedy algorithm. A suboptimal delay-bounded packet scheduling algorithm and a dual decomposition-based power allocation algorithm are developed to solve the non-convex maximization problem such that the weighted sum rate of each femtocell is maximized, subject to bounded packet delays and power constraints. Simulation results show that the proposed scheme can significantly outperform existing schemes in terms of QoS, throughput and fairness.

Item Type:	Article
Uncontrolled Keywords:	Long-Term Evolution (Telecommunications), Admission control, fairness, hybrid access femtocell, long term evolution (LTE), packet scheduling, power allocation, quality of service (QoS).
Subjects:	T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK5101-6720 Telecommunication. Including telegraphy, telephone, radio, radar, television
Divisions:	Faculty of Engineering (FOE)
Depositing User:	Ms Rosnani Abd Wahab
Date Deposited:	05 Nov 2020 20:01
Last Modified:	05 Nov 2020 20:01
URII:	http://shdl.mmu.edu.my/id/eprint/7256

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