Self-organized resource allocation for LTE pico cells: A reinforcement learning approach

IEEE Vehicular Technology Conference

Volumn , Issue , 2012, Pages

  Feki, Afef ^a   Capdevielle, Veronique ^a   Sorsy, Elom ^b  

^a NOKIA RESEARCH CENTER   (United States)

^b ECOLE DES MINES DE NANTES   (France)

Author keywords

Inter Cell Interference (ICI); LTE; Pico Cell (PC); Reinforcement Learning theory; Resource allocation

Indexed keywords

CONVERGENCE TIME; DECISION FUNCTIONS; INTERCELL INTERFERENCE; ITS EFFICIENCIES; LTE; MULTI ARMED BANDIT; PICO-CELL; REINFORCEMENT LEARNING APPROACH; RESOURCE SHARING; TRAFFIC AWARE;

ALGORITHMS; FREQUENCY BANDS; REINFORCEMENT LEARNING; RESOURCE ALLOCATION;

WIRELESS TELECOMMUNICATION SYSTEMS;

EID: 84864982901     PISSN: 15502252     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/VETECS.2012.6240019     Document Type: Conference Paper

References (6)

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4. A. Feki, V. Capdevielle and E. Temer, Enhanced Resource Sharing Strategies for LTE Pico cells with Heterogeneous Traffic Loads, IEEE. VTC Spring, 2011.
5. Wimax Forum, WiMAX System Evaluation Methodology, v2.0 ed., Dec. 2007.
6. C. Mehlfuhrer, et all., The Vienna LTE Simulators - Enabling Reproducibility in Wireless Communications Research, available at http ://publik.tuwien.ac.at/files/PubDat-199104.pdf.