Research

 

NICE Lab leverages networking for connecting the essential ingredients of ICT Convergence, i.e., information, communications, energy and economics. Two main axes of research in NICE Lab are mathematical theories as well as their real implementations. NICE Lab pursues interdisciplinary research encompassing wireless and wireline networking and communications, optimization and machine learning, resource management, economic behavior of individuals.

Specifically, (current) research thrusts are as follows.

✓Energy ICT and Smart Grid  = ICT + Energy/Power focused on both power optimization and power economics. IT infrastructure enabling Smart Grid Communications is also of great interest.

Green Networking = Energy-efficient networking focused on SMART NET (Systematic MAnagement of Resources in Telecommunication Network), e.g., (Green) 4G/5G Wireless Communication and Networks, Green Data Center, wireline network.

Network Economics = ICT + Economics. Network resource allocation and management inevitably involve the economic behavior of individuals in maximizing one’s own profit/utility.

Bioinformatics = ICT + Bio where enormous amount of data need to be processed using machine learning.

  I.   Smart Grid Comm and  Energy ICT.  II.  SMART Network   III. Net Economics


I. Energy ICT and Smart Grid Systems

Smart Grid, the convergence of power grid and Information Technology, aims to significantly improve grid reliability, energy efficiency and economic effectiveness to reduce carbon footprint and save the earth. To achieve these objectives, having an accurate snap shot of the entire grid is essential, which can be achieved by bidirectional communication, sensing and monitoring. Integrating renewable energy resources such as solar, wind as well as energy storage and electric vehicles make it more challenging to maintain grid stability because of increased variability of both supply and demand. This further emphasizes the importance of reliable, scalable and secure communications for Smart Grid. In addition to Smart Grid Communications, another interesting area is the market models and economics of Smart Grid. Unlike traditional energy markets where only a limited number of generators and buyers participate in the market, a number of distributed energy resources, the emergence of prosumers such as microgrids that both generate and consume power, and virtual power generators (including residential customers) based on demand response, create many new opportunities and problems to investigate. Specifically, NICE Lab actively conducts Smart Grid research focusing on the following topics.

● Renewable Generation (PV) and Demand Forecasting using AI/Machine Learning

● Optimal Control of Energy Storage System (ESS) and Electric Vehicle (EV) 

● Battery Modeling for Estimating SOC, SOH and RUL

● Virtual Power Plant

● Optimal Power Flow and Energy Transaction for Future Grid

● Power System Economics and Market Model

● Communication Network and Protocol for Smart Grid

● Cloud-based Demand Response, EV and Microgrid Optimization

● End-to-End Platform for Smart Grid Communications

Related Publications (Selected):

● Deep Neural Network based Demand Side Short-Term Load Forecasting   S. Ryu, J. Noh and H. Kim,  Energies, Dec. 2016, pp.1-20  

● Data-driven Battery Degradation Model Leveraging Average Degradation Function Fitting   K. Kim, Y. Choi and H. Kim, Electronics Letters, 2017.

● Optimal Scheduling of Energy Storage System for Self-Sustainable Base Station Operation Considering Battery Wear-out Cost,

  Y. Choi and H. Kim, Energies, Jun. 2016, pp.1-19.

● Data-Driven Baseline Estimation of Residential Buildings for Demand Response,

   S. Park, S. Ryu, Y. Choi, J. Km and H. Kim, Energies 2015, pp.10239-10259.

SeDAX: A Secure, Scalable, Resilient Platform for Smart Grid Communications

   Y.-J. Kim, J. Lee, G. Atkinson, H. Kim, and M. Thottan, IEEE Journal on Selected Areas in Communications, Vol 30, No. 6, Jul. 2012, pp. 1119-1136..

A Market Model for Microgrid Power Transaction via Aggregators

   H. Kim and M. Thottan, Bell Labs Technical Journal, Dec. 2011.

Cloud-based Demand Response for Smart Grid: Architecture and Distributed Algorithms 

   H. Kim, Y-J. Kim, K. Yang, and M. Thottan, IEEE Smart Grid Comm, 2011, pp. 1-6.

SSTP: a Scalable and Secure Transport Protocol for Smart Grid Data Collection 

   Y.-J. Kim, V. Kolesnikov, H. Kim, and M. Thottan, IEEE Smart Grid Comm, 2011, pp. 1-6.


II. SMART Network

(Scheduling and MAnagement of Resources in Telecommunication Network)

Wireless resources are scarce, shared and time-varying, which makes resource management a key and challenging element of the upcoming wireless systems such as 4G LTE and also 5G system. Furthermore, unlike the traditional research focusing on QoS and bandwidth, new direction towards Green IT aims to significantly reduce the energy consumption of IT industry and imposes new challenges in designing wireless/wireline networks as well as server farms in the data center. SMART Network envisions fundamental research about resource management and optimization of wireless/wireline networks, small cell and interference management, energy conservation of communication networks and data center. Specifically, NICE Lab actively conducts research focusing on the following topics.

✓ Resource Management and Optimization of Wireless/Wireline Communication Networks

Analysis and Design of Communication Networks

Queueing Theory

Heterogeneous Network

Self Organizing Network (SON)

Related Publications (Selected):

● Green Small Cell Operation Using Belief Propagation in Ultra-Dense Network   G. Lee and H. Kim, Energies, Dec. 2016, pp. 1-19.

● On Optimal Cell Flashing for Reducing Delay and Saving Energy in Wireless Networks   J. Jeong and H. Kim, Energies, Sep. 2016, pp.1-14. 

●  Robust Cooperative Sensing with ON/OFF Signaling over Imperfect Reporting Channels

  S. Bae and H. Kim, IEEE Transactions on Industrial Informatics, Vol. 12, No. 6, pp.2196-2205, Dec. 2016.

●  Self-Organizing Spectrum Breathing and User Association for Load Balanced Wireless Networks,

  H. Y. Kim, H. Kim, Y. Cho, and S.-H. Lee, to appear in IEEE Transactions on Wireless Communications.

●  A QoE-aware Proportional Fair Resource Allocation for Multi-cell OFDMA Networks,

   Y. Cho, H. Kim,  S.-H. Lee, H. S. Lee, IEEE Communications Letters, Vol.19, No.1, pp.82-85, Jan. 2015.

●  QoE-aware Scheduling for Sigmoid Optimization in Wireless Networks,

   G. Lee, H. Kim, Y. Cho, and S.-H. Lee, IEEE Communications Letters, Vol.18, No.11, pp.1995-1998, Nov. 2014.

●  Unlimited Cooperative Sensing with Energy Detection for Cognitive Radio,    S. Bae and H. Kim, Journal of Communications and Networking, Vol. 16, No. 2, pp.172-182, April 2014.

Distributed Alpha-Optimal User Association and Cell Load Balancing in Wireless Networks

   H. Kim, G. de Veciana, X. Yang, and M. Venkatachalam, IEEE/ACM Transactions on Networking, Vol. 20,    No. 1, Februrary 2012, pp. 177-190. 

Alpha-Optimal User Association and Cell Load Balancing in Wireless Networks 

   H. Kim, G. de Veciana, X. Yang, and M. Venkatachalam, IEEE INFOCOM, 2010, pp.1-5.

Losing Opportunism: Evaluating Service Integration in an Opportunistic Wireless System 

   H. Kim and G. de Veciana, IEEE INFOCOM 2007, pp.1-9.

Iterative Resource Pooling for Bandwidth Allocation in TDM-PON: Algorithm, Convergence and Experimental Evaluation

   H. Kim, S. Ha, M. Chiang, D.-K. Kang, and J. H. Kim, to appear in Springer, Photonic Network    Communications.

Sliding Cycle Time-based MAC Protocol for Service Level Agreeable Ethernet Passive Optical Network 

   H. Kim, H. Park, D. K. Kang, C. Kim, and G. I. Yoo, IEEE Int’l. Conf. on Communications (ICC), 2005, pp.1-5.

✓ Green Wireless:

Energy-Efficient Base Station Operation

Energy Conservation and Interference Mitigation 4G/Beyond 5G Wireless Cellular Network

Related Publications (Selected):

● BRUTE: Energy-efficient User Association in Cellular Networks from Population Game Perspective,

   S. Moon, H. Kim, and Y. Yi, IEEE Transactions on Wireless Communications Vo. 15, No. 1, pp. 663-675, January, 2016.

● Energy Conservation and Interference Mitigation From Decoupling Property to Win-Win Strategy

   L. Fu, H. Kim, J. Huang, S. C. Liew, and M. Chiang, IEEE Transactions on Wireless Communications, Vol. 10,    No. 11, November 2011, pp. 3943-3955.

Dual Access Points Association in Relay Networks to Conserve Mobile Terminals’ Energy

   H. Kim, X. Yang, and M. Venkatachalam, to appear in IET Communications,

   Special Issue on Green Technologies for Wireless Communications and Mobile Computing, 2011, pp.1-8.

Base Station Operation and User Association Mechanisms for Energy-Delay Tradeoffs in Green Cellular Networks 

  K. Son, H. Kim, Y. Yi, and B. Krishnamachari, IEEE Journal on Selected Areas in Communications, Sep. 2011.    pp-1525-1536.

Leveraging Dynamic Spare Capacity in Wireless Systems to Conserve Mobile Terminals Energy 

   H. Kim and G. de Veciana, IEEE/ACM Transactions on Networking, Vol. 18, No. 3, June 2010, pp. 802-815.

A Cross-Layer Approach to Energy-efficiency for Adaptive MIMO Systems Exploiting Spare Capacity 

   H. Kim, C.-B. Chae, G. de Veciana and R. W. Heath Jr., IEEE Transactions on Wireless Communications,    Vol. 8, No. 8, August 2009, pp. 4264-4275. (Best Paper nominated)

Energy Conservation and Interference Mitigation From Decoupling Property to Win-Win Strategy

   L. Fu, H. Kim, J. Huang, S. C. Liew, and M. Chiang, IEEE Conference on Decision and Control (CDC)    2010, pp.1-6 (Invited paper).

Energy-efficient Adaptive MIMO Systems Leveraging Dynamic Spare Capacity

   H. Kim, C.-B. Chae, G. de Veciana, and R. W. Heath, Jr. CISS 2008, pp.1-6.

✓ Green IT:

Green Data Center Management

Related Publications (Selected):

Better Energy-Delay Tradeoff via Server Resource Pooling

   I. Kamitsos, S. Ha, J. Bawa, D. Butnariu, L. Andrew, H. Kim, and M. Chiang, International Journal of Systems Science: Operations and Logistics, to appear, 2016

Functional-Level Energy Characterization of μC/OS-II and Cache Locking for Energy Saving

   K. Kang, K.-J. Park, and H. Kim, to appear in Bell Labs Technical Journal.

Better Energy-Delay Tradeoff via Server Resource Pooling

   I. Kamitsos, L. Andrew, H. Kim, S. Ha, and M. Chiang, to appear in International Conf. on Computing,    Networking and Communications (ICNC) 2012, pp. 1-6. (Invited paper)

Optimal Sleep Patterns for Serving Delay Tolerant Jobs

   I. Kamitsos, L. Andrew, H. Kim, and M. Chiang, ACM eEnergy 2010, pp.1-10.


III. Network Economics

Analysis and design of communication networks traditionally focused on network performance such as maximizing throughput/capacity, minimizing delay/packet loss/hop counts, etc. However, underlying mechanisms governing networks are closely related with the economic individuals who utilize the network to achieve their objectives, for example, maximize his/her desired utility by using the networks. Thus, understanding the economic behaviors of individuals is essential to better understand/manage/design the networks. For example, pricing mechanism can be used for resource management in the 4G/5G wireless access where air resource is scare and thus price-based access control is required. Pricing policy can shape user behaviors and directly affect the revenue of service providers. In addition, in the case of power network, energy transaction among microgrids, prosumers, and/or utilities requires economic and strategic behaviors of players in a market. To understand the interactions between customers and service providers, microeconomics, game theory, optimization, statistics are useful tools. Time-dependent pricing, two-side pricing, and pricing based access control for cognitive radio are the exemplary research area of NICE Lab in collaboration with Princeton University EDGE Lab. One of the hot issues in network economics is net-neutrality that is about the service differentiation; whether the network/service provider should transparently deliver the traffic no matter what it is.

 

● Two-Side Pricing

● Time-dependent Pricing Price-based Access Protocol for Cognitive Radio Network

Related Publications:

Pricing-based Decentralized Spectrum Access Control in Cognitive Radio Networks

   L. Yang, H. Kim, J. Zhang, M. Chiang, and C. W. Tan, to appear in IEEE/ACM Transactions on Networking, 2011.

Pricing-based Spectrum Access Control in Cognitive Radio Networks with Random Access 

   L. Yang, H. Kim, J. Zhang, M. Chiang, and C. W. Tan, IEEE INFOCOM 2011, pp. 1-9.

Revenue Sharing among ISPs in Two-Sided Markets 

   Y. Wu, H. Kim, P. Hande, M. Chiang and D. H. K. Tsang, IEEE INFOCOM, 2011, pp.1-5.

QoS-Revenue Tradeoff with Time-constrained ISP Pricing 

   Y. WU, P. Hande, H. Kim, M. Chiang, and D. H.-K. TSAN, IEEE IWQoS 2010, pp.1-9.

Pricing Broadband: Survey and Open Problems 

   M. Chiang, P. Hande, H. Kim, S. Ha, and R. Calderbank, IEEE ICUFN 2010, pp.1-6 (Invited paper).