Dynamic Resource Management for LTE-Based Hybrid Access Femtocell Systems

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 s...

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Veröffentlicht in:IEEE systems journal Jg. 12; H. 1; S. 959 - 970
Hauptverfasser: Lee, Ying Loong, Loo, Jonathan, Chuah, Teong Chee
Format: Journal Article
Sprache:Englisch
Veröffentlicht: New York IEEE 01.03.2018
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:
Admission control
Algorithms
Cellular communication
Computer simulation
fairness
Femtocell networks
Greedy algorithms
hybrid access femtocell
Hybrid systems
long term evolution (LTE)
Mobile communication systems
Open access
Optimization
packet scheduling
power allocation
Provisioning
quality of service (QoS)
Real-time systems
Resource management
Scheduling algorithms
Telecommunications industry
Throughput
Traffic control
Traffic delay
Traffic information
Wireless communications
ISSN:1932-8184, 1937-9234
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Zusammenfassung: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.
Bibliographie:ObjectType-Article-1
SourceType-Scholarly Journals-1
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content type line 14
ISSN:1932-8184
1937-9234
DOI:10.1109/JSYST.2016.2569825