INFOCOM'2014 Workshops on GCCCN: 2014 IEEE INFOCOM Workshops: 2014 IEEE INFOCOM Workshop on Green Cognitive Communications and Computing Networks - Program
Monday, April 28
09:00 - 10:00
KS: Keynote Speech
As mobile data and video traffic is fast growing, the next-generation mobile communication (5G) networks are expected to further support 1000-fold more traffic than today's mobile networks. Meanwhile, the energy consumption of mobile networks has emerged as one of the major parts of the CO2 emission worldwide. As a result, the next-generation cellular networks have to be much more energy-efficient (green) than today in order to support the 1000-fold more traffic. For this purpose, the physical layer approaches only are not sufficient anymore and a system-level approach is the must. In this talk, we first claim that the existing cellular networks is spectrum-efficient but not energy-efficient because the static cellular architecture cannot adapt to the traffic dynamics by using real measurement data from commercial mobile networks. As cell size is getting even smaller, the cell traffic will get much more dynamic, both in temporal and spatial domains. In order to make the cellular architecture more adaptive to the traffic dynamics without worry about the coverage, we then propose a so-called hyper-cellular networks (HCN). The key idea behind is to separate the coverage for control signals from the coverage for data traffic, so that the data BSs (DBSs) can be turned off (into sleep mode) when traffic load is getting very low without concerning on the coverage of control signals. The network coverage will be guaranteed by the control BSs (CBSs) which in general cover a relatively wide area without sleeping. This can be considered as the further extension of the existing C-RAN concept and one of the key candidate technologies for 5G mobile communications systems. Some preliminary results have shown that this new paradigm has a great potential in the capacity enhancement and energy savings.
10:30 - 12:00
TS1: Technical Session 1
- TS1.1 Equivalent Bandwidth Adaptation with Energy Preservation under Delay Constraints
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pp. 694-699
- TS1.2 Distributed Dynamic Spectrum Access with Adaptive Power Allocation: Energy Efficiency and Cross-Layer Awareness
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pp. 700-705
- TS1.3 Robust Transmit Beamforming against Steering Vector Uncertainty in Cognitive Radio Networks
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pp. 706-711
- TS1.4 Dynamic Uplink-Downlink Optimization in TDD-based Small Cell Networks
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pp. 712-717
- TS1.5 Energy-Efficient Power Adaptation for Cognitive Radio Systems under Imperfect Channel Sensing
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pp. 718-723
13:30 - 15:30
TS2: Technical Session 2 (Invited Session)
- TS2.1 A Game Theory Framework for a Distributed and Energy Efficient Bandwidth Expansion Process
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pp. 724-729
- TS2.2 Coordinated Paradigm for D2D Communications
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pp. 730-735
- TS2.3 Unlimited Cooperative Sensing with Energy Detection for Cognitive Radio
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pp. 736-741
- TS2.4 Context-Aware Machine-to-Machine Communications
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pp. 742-747
- TS2.5 Modeling and Analysis of Handover Failure Probability in Small Cell Networks
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pp. 748-753
15:30 - 17:00
TS3: Technical Session 3
- TS3.1 Power Allocation for Interference Alignment Based Cognitive Radio Networks
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pp. 754-758
- TS3.2 Energy Efficient Resource Allocation for Collaborative Mobile Cloud with Hybrid Receiver
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pp. 759-764
- TS3.3 Power Consumption Optimization for Real-Time Applications
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pp. 765-770
- TS3.4 Spectrum Aware and Energy Efficient MAC Protocol for Cognitive Radio Sensor Network
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pp. 771-776
- TS3.5 Spectrum Sensing-Energy Tradeoff in Multi-hop Cluster Based Cooperative Cognitive Radio Networks
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pp. 777-782
