## 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

Keynote Speaker: Prof. Zhisheng Niu
Room: Pier 7& 8
Chair: Lingjie Duan (Singapore University of Technology and Design (SUTD), Singapore)

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

Room: Pier 7& 8

TS1.1 Equivalent Bandwidth Adaptation with Energy Preservation under Delay Constraints
  Maurizio Mongelli (National Research Council of Italy, Italy); Franco R. Davoli (University of Genoa & National Inter-University Consortium for Telecommunications (CNIT), Italy); Roberto Bruschi (CNIT, Italy)
  pp. 694-699
TS1.2 Distributed Dynamic Spectrum Access with Adaptive Power Allocation: Energy Efficiency and Cross-Layer Awareness
  Mahdi Ben Ghorbel (Qatar University, Qatar); Bechir Hamdaoui (Oregon State University, USA); Rami Hamdi (Qatar University, Qatar); Mohsen Guizani (QU, USA); MohammadJavad NoroozOliaee (Oregon State University, USA)
  pp. 700-705
TS1.3 Robust Transmit Beamforming against Steering Vector Uncertainty in Cognitive Radio Networks
  Md Monzurul Alam (Tennessee State University, USA); Sudeep Bhattarai (Virginia Tech, USA); Liang Hong (Tennessee State University, USA); Sachin Shetty (Tennessee State University, USA)
  pp. 706-711
TS1.4 Dynamic Uplink-Downlink Optimization in TDD-based Small Cell Networks
  Mohammed Saad ElBamby (University of Oulu, Finland); Mehdi Bennis (Centre of Wireless Communications, University of Oulu, Finland); Walid Saad (University of Miami, USA); Matti Latva-aho (UoOulu, Finland)
  pp. 712-717
TS1.5 Energy-Efficient Power Adaptation for Cognitive Radio Systems under Imperfect Channel Sensing
  Gozde Ozcan (Syracuse University, USA); M. Cenk Gursoy (Syracuse University, USA)
  pp. 718-723

### 13:30 - 15:30

#### TS2: Technical Session 2 (Invited Session)

Room: Pier 7& 8

TS2.1 A Game Theory Framework for a Distributed and Energy Efficient Bandwidth Expansion Process
  Rodrigo A. Vaca Ramírez (University of Edinburgh, United Kingdom); John Thompson (University of Edinburgh, United Kingdom); Eitan Altman (INRIA, France); Victor Ramos (Universidad Autonoma Metropolitana & Networking and Telecommunications Research Team, Mexico)
  pp. 724-729
TS2.2 Coordinated Paradigm for D2D Communications
  Shahid Mumtaz (Instituto de Telecomunicações, Portugal); Kazi Mohammed Saidul Huq (Instituto de Telecomunicações & 4TELL, Portugal); Jonathan Rodriguez (Instituto de Telecomunicações, Portugal)
  pp. 730-735
TS2.3 Unlimited Cooperative Sensing with Energy Detection for Cognitive Radio
  Hongseok Kim (Sogang University, Korea); Sunghwan Bae (Sogang University, Korea)
  pp. 736-741
TS2.4 Context-Aware Machine-to-Machine Communications
  Javier Mendonca Costa (KTH, Sweden); Guowang Miao (KTH, Royal Institute of Technology & Department of Communications Systems, Sweden)
  pp. 742-747
TS2.5 Modeling and Analysis of Handover Failure Probability in Small Cell Networks
  Carlos H. M. de Lima (University of Oulu, Finland); Mehdi Bennis (Centre of Wireless Communications, University of Oulu, Finland); Matti Latva-aho (UoOulu, Finland)
  pp. 748-753

### 15:30 - 17:00

#### TS3: Technical Session 3

Room: Pier 7& 8

TS3.1 Power Allocation for Interference Alignment Based Cognitive Radio Networks
  Nan Zhao (Dalian University of Technology, Canada); F. Richard Yu (Carleton University, Canada); Hongjian Sun (Durham University, United Kingdom)
  pp. 754-758
TS3.2 Energy Efficient Resource Allocation for Collaborative Mobile Cloud with Hybrid Receiver
  Zheng Chang (University of Jyväskylä & Magister Solutions Ltd, Finland); Jie Gong (Tsinghua University, P.R. China); Tapani Ristaniemi (University of Jyväskylä, Finland)
  pp. 759-764
TS3.3 Power Consumption Optimization for Real-Time Applications
  Michel Bourdellès (THALES, France); Julien Marechal (TALES Communications&Security, France)
  pp. 765-770
TS3.4 Spectrum Aware and Energy Efficient MAC Protocol for Cognitive Radio Sensor Network
  Amna Jamal (National University of Singapore, Singapore); Chen-Khong Tham (National University of Singapore, Singapore); Wai-Choong Wong (National University of Singapore, Singapore)
  pp. 771-776
TS3.5 Spectrum Sensing-Energy Tradeoff in Multi-hop Cluster Based Cooperative Cognitive Radio Networks
  Ahmed S. B. Kozal (Liverpool John Moores University, United Kingdom); Madjid Merabti (Liverpool John Moores University, United Kingdom); Faycal Bouhafs (Liverpool John Moores University, United Kingdom)
  pp. 777-782