付立群 福建省引进高层次创新人才、闽江学者特聘教授 、博士生导师

瑞典皇家理工学院,博士后研究员;香港中文大学工学,博士,信息工程专业

研究方向:无线通信 大规模网络优化 数据中心网络

电子邮件:liqun (AT) xmu.edu.cn

个人主页:http://funlab.xmu.edu.cn

个人简历:

学术兼职: 

IEEE Comsoc 绿色通信与计算技术委员会,绿色认知通信和计算网络专题组副主席(2012-2014);

INFOCOM 2016 GSCN Workshop 宣传联合主席(Publicity Co-Chair);

IEEE International Symposium on Modeling and Optimization in Mobile, Ad Hoc and Wireless Networks (WiOpt), 2018, 网页主席 (Web Chair);

INFOCOM 2014 GCCCN Workshop 技术委员会联合主席(TPC Co-Chair);

长期担任无线通信与网络领域国际重要期刊的审稿人,主要包括:IEEE-JSAC,IEEE-TWC,IEEE-TMC,IEEE-TIT,IEEE-TC,等;

长期担任无线通信与网络领域国际重要会议技术委员会成员(TPC member),主要包括INFOCOM, Globecom, ICC, WCNC, PIMRC等;

IEEE 及 IEEE Comsoc会员;

在研项目: 

厦门大学引进人才启动经费,2017.01-2019.12,主持

澳门特别行政区科学技术发展基金,096/2013/A3,大规模无线资助网络:性能分析及性能提高研究,2014.01-2017.12,20万/135.6万,参与

国家自然科学青年项目,61401380,基于物理层网络编码的分布式MAC协议设计及性能建模研究,2015.01-2017.12,5万/25万元,参与

代表性论文: 

Liqun Fu*, Hongseok Kim, Jianwei Huang, Soung Chang Liew, and Mung Chiang, “ Energy Conservation in Multi-cell Networks,” book chapter in Green Communications: Theoretical Fundamentals, Algorithms, and Applications, CRC Press, Sept. 2012. (ISBN-10: 1466501073, ISBN-13: 978-1466501072).

Demia Della Penda, Liqun Fu*, and Mikael Johansson, “Energy Efficient D2D Communications in Dynamic TDD Systems,” accepted by IEEE Transactions on Communications.

Shijun Lin and Liqun Fu*, “Throughput Capacity of IEEE 802.11 Many-to/from-one Bidirectional Networks with Physical-Layer Network Coding,” IEEE Transactions on Wireless Communications, vol. 15, no. 11, pp. 217-231, Jan. 2016.

Shijun Lin, Liqun Fu*, Jianmin Xie, and Xijun Wang, “Hybrid Network Coding for Unbalanced Slotted ALOHA Relay Networks,” IEEE Transactions on Wireless Communications, vol. 15, no. 11, pp. 298-313, Jan. 2016.

Liqun Fu*, Mikael Johansson, and Mats Bengtsson, “Energy Efficient Transmissions in Cognitive MIMO Systems with Multiple Data Streams,”  IEEE Transactions on Wireless Communications, vol. 14, no. 9, pp. 5171-5184, Sept. 2015.

Shijun Lin and Liqun Fu, “Unsaturated Throughput Analysis of Physical-Layer Network Coding Based on IEEE 802.11 Distributed Coordination Function,”  IEEE Transactions on Wireless Communications, vol. 12, no. 11, pp. 5544-5556, Nov. 2013.

Liqun Fu*, Ying Jun (Angela) Zhang, and Jianwei Huang, “Energy Efficient Transmissions in MIMO Cognitive Radio Networks,” IEEE Journal on Selected Areas in Communications (JSAC), vol.31, no. 11, pp. 2420-2431, Nov. 2013.

Liqun Fu*, Soung Chang Liew, and Jianwei Huang, “Effective Carrier Sensing in CSMA Networks under Cumulative Interference,” IEEE Transactions on Mobile Computing, vol. 12, no. 4, pp. 748-760, Apr. 2013.

Liqun Fu*, Hongseok Kim, Jianwei Huang, Soung Chang Liew, and Mung Chiang,“Energy Conservation and Interference Mitigation: From Decoupling Property to Win-Win Strategy,” IEEE Transactions on Wireless Communications, vol. 10, no. 11, pp. 3943-3955, Nov. 2011.

Liqun Fu*, Soung Chang Liew, and Jianwei Huang, “Fast Algorithms for Joint Power Control and Scheduling in Wireless Networks,” IEEE Transactions on Wireless Communications, vol. 9, no. 3, pp. 1186-1197, Mar. 2010.

11. W. Xie, Y. J. Zhang, M.L. Sichitiu, Liqun Fu, and Y. Yao, “Feasibility of Optimally Assigning Channels by Exhaustive Search in Commercial Multi-radio Wireless Mesh Networks,” Springer Telecommunication Systems (Special Issue on Wireless Ad hoc, Sensor and Mesh Networks) vol. 44, no. 1-2, pp. 171-178, Jun. 2010.

Liqun Fu, Soung Chang Liew, and Jianwei Huang,“Effective Carrier Sensing in CSMA Networks under Cumulative Interference,” IEEE 29th Annual Conference on Computer Communications (INFOCOM), San Diego, CA, US, March, 2010. (Acceptance rate: 17.5%)

Liqun Fu, Soung Chang Liew, and Jianwei Huang,“Power Controlled Scheduling with Consecutive Transmission Constraints: Complexity Analysis and Algorithm Design,”  IEEE 28th Annual Conference on Computer Communications (INFOCOM), Rio de Janeiro, Brazil, Apr. 2009. (Acceptance rate: 19.6%)

Jialiang Zhang, Soung Chang Liew, and Liqun Fu,“On Fast Optimal STDMA Scheduling over Fading Wireless Channels,”  IEEE 28th Annual Conference on Computer Communications (INFOCOM), Rio de Janeiro, Brazil, Apr. 2009. (Acceptance rate: 19.6%)