X. Chen, “Resource Scheduling in Virtualized Wireless Networks,” Encyclopedia of Wireless Networks, Xuemin (Sherman) Shen, Xiaodong Lin, and Kuan Zhang (Editors), Springer International Publishing AG, Aug. 2020.
X. Chen, Z. Zhao, and H. Zhang, “Reinforcement learning for distributed power control and channel access in cognitive wireless mesh networks,” Cognitive Communications: Distributed Artificial Intelligence(DAI), Regulatory Policy and Economics, Implementation: Chapter 7, David Grace and Honggang Zhang (Editors), Wiley Press, September 2012.
X. Chen, Z. Zhao, H. Zhang, and T. Chen, “Reciprocal learning for energy-efficient opportunistic spectrum access,” Green Communications: Theoretical Fundamentals, Algorithms and Applications: Chapter 5, Jinsong Wu, Sundeep Rangan, and Honggang Zhang (Editors), CRC Press, September 2012.
M. Höyhtyä, J.-C. Dunat, J. Ylitalo, X. Chen, and A. Mämmelä, "Use of databases for dynamic spectrum management in cognitive satellite systems," Co-operative and Cognitive Satellite Systems: Chapter 14, Symeon Chatzinotas, Bjorn Ottersten, and Riccardo De Gaudenzi (Editors), Elsevier Science & Technology, June 2015.
X. Chen, C. Wu, T. Chen, Z. Liu, H. Zhang, M. Bennis, H. Liu, and Y. Ji, "Information freshness-aware task offloading in air-ground integrated edge computing systems," IEEE J. Sel. Areas Commun., vol. 40, no. 1, pp. 243-258, Jan. 2022. (Listed No. 35 among the top 50 most frequently downloaded articles in IEEE J. Sel. Areas Commun., Jan. 2022.)
X. Chen, C. Wu, Z. Liu, N. Zhang, and Y. Ji, "Computation offloading in beyond 5G networks: A distributed learning framework and applications," IEEE Wireless Commun., vol. 28, no. 2, pp. 56-62, May 2021.
X. Chen, C. Wu, T. Chen, H. Zhang, Z. Liu, Y. Zhang, and M. Bennis, "Age of information-aware radio resource management in vehicular networks: A proactive deep reinforcement learning perspective," IEEE Trans. Wireless Commun., vol. 19, no. 4, pp. 2268-2281, Apr. 2020. (Listed No. 31 among the top 50 most frequently downloaded articles in IEEE Trans. Wireless Commun., Apr. 2020.)
X. Chen, Z. Zhao, C. Wu, M. Bennis, H. Liu, Y. Ji, and H. Zhang, "Multi-tenant cross-slice resource orchestration: A deep reinforcement learning approach," IEEE J. Sel. Areas Commun., vol. 37, no. 10, pp. 2377-2392, Oct. 2019. (Listed No. 31 among the top 50 most frequently downloaded articles in IEEE J. Sel. Areas Commun., Sep. 2019.)
X. Chen, C. Wu, M. Bennis, Z. Zhao, and Z. Han, "Learning to entangle radio resources in vehicular communications: An oblivious game-theoretic perspective," IEEE Trans. Veh. Technol., vol. 68, no. 5, pp. 4262-4274, May 2019.
X. Chen, H. Zhang, C. Wu, S. Mao, Y. Ji, and M. Bennis, "Optimized computation offloading performance in virtual edge computing systems via deep reinforcement learning," IEEE Internet Things J., vol. 6, no. 3, pp. 4005-4018, Jun. 2019. (Listed among the top 50 most frequently downloaded articles in IEEE Internet Things J. since being published.) (ESI Hot Paper and ESI Highly Cited Paper)
X. Chen, Z. Han, H. Zhang, G. Xue, Y. Xiao, and M. Bennis, "Wireless resource scheduling in virtualized radio access networks using stochastic learning," IEEE Trans. Mobile Comput., vol. 17, no. 4, pp. 961-974, Apr. 2018.
X. Chen, H. Zhang, M. Höyhtyä, M. Lasanen, and J. Palicot, "Reciprocally opportunistic spectrum access," ETT, vol. 26, no. 8, pp. 1073-1085, Aug. 2015.
X. Chen, J. Wu, Y. Cai, H. Zhang, and T. Chen, "Energy-efficiency oriented traffic offloading in wireless networks: A brief survey and a learning approach for heterogeneous cellular networks," IEEE J. Sel. Areas Commun., vol. 33, no. 4, pp. 627-640, Apr. 2015. (Listed No. 12 among the top 50 most frequently downloaded articles in IEEE J. Sel. Areas Commun., Apr. 2015.) (ESI Highly Cited Paper)
X. Chen, H. Zhang, A. B. MacKenzie, and M. Matinmikko, "Predicting spectrum occupancies using a non-stationary hidden Markov model," IEEE Wireless Commun. Lett., vol. 3, no. 4, pp. 333-336, Aug. 2014. (Listed among the top 50 most frequently downloaded articles in IEEE Wireless Commun. Lett., Sep. 2014.)
X. Chen, Z. Zhao, and H. Zhang, "Stochastic power adaptation with multi-agent reinforcement learning for cognitive wireless mesh networks," IEEE Trans. Mobile Comput., vol. 12, no. 11, pp. 2155-2166, Nov. 2013.
X. Chen, Z. Zhao, H. Zhang, and T. Chen, "Reinforcement learning enhanced iterative power allocation in stochastic cognitive wireless mesh networks," Wireless Pers. Commun., vol. 57, no. 1, pp. 89-104, Mar. 2011.
X. Chen, Z. Zhao, T. Jiang, D. Grace, and H. Zhang, "Intercluster connection in cognitive wireless mesh networks based on intelligent network coding," EURASIP J Adv Signal Process., vol. 2009, article no. 10, Mar. 2009.
S. Liu, G. Yu, X. Chen, and M. Bennis, "Joint user association and resource allocation for wireless hierarchical federated learning with IID and non-IID data," IEEE Trans. Wireless Commun., accepted, 2022.
K. Lu, Q. Zhou, R. Li, Z. Zhao, X. Chen, J. Wu, and H. Zhang, "Rethinking modern communication from semantic coding to semantic communication," IEEE Wireless Commun., accepted, 2022.
G. Li, J. Cai, X. Chen, and Z. Su, “Nonlinear online incentive mechanism design in edge computing systems with energy budget,” IEEE Trans. Mobile Comput., accepted, 2022.
X. Li, R. Fan, H. Hu, N. Zhang, X. Chen, and A. Meng, "Energy-efficient resource allocation for cooperative mobile rdge computing with relays," IEEE Internet Things J., accepted, 2021.
R. Yin, Y. Shen, H. Zhu, X. Chen, and C. Wu, "Time-critical tasks implementation in MEC based multi-robot cooperation systems," China Commun., accepted, 2021.
Z. Liu, Q. Li, X. Chen, C. Wu, S. Ishihara, J. Li, and Y. Ji, "Point cloud video streaming: Challenges and solutions," IEEE Network, accepted, 2021.
Y. Cao, Z. Zhou, C. Zhu, P. Duan, X. Chen, and J. Li, "A lightweight deep learning algorithm for WiFi-based identity recognition," IEEE Internet Things J., accepted, 2021.
L. Gao, C. Wu, T. Yoshinaga, X. Chen, and Y. Ji, “Multi-channel Blockchain Scheme for Internet of Vehicles,” IEEE Open Journal of the Computer Society, accepted, 2021.
L. Ale, N. Zhang, X. Fang, X. Chen, S. Wu, and L. Li, "Delay-aware and energy-efficient computation offloading in mobile edge computing using deep reinforcement learning," IEEE Trans. Cogn. Commun. Netw., accepted, 2021.
H. Zhou, X. Wang, M. Umehira, X. Chen, C. Wu, and Y. Ji, "Wireless access control in edge-aided disaster response: A deep reinforcement learning-based approach," IEEE Access, vol. 9, pp. 46600-46611, Mar. 2021.
Z. Du, C. Wu, T. Yoshinaga, X. Chen, X. Wang, K.-L. A. Yau, and Y. Ji, “A Routing Protocol for UAV-assisted Vehicular Delay Tolerant Networks,” IEEE Open Journal of the Computer Society, accepted, 2021.
Rui Yin, Zhiqun Zou, Celimuge Wu, Jiantao Yuan, and Xianfu Chen, "Distributed Spectrum and Power Allocation for D2D-U Networks: A Scheme based on NN and Federated Learning," Mobile Networks and Applications, accepted, 2021.
P. Zhou, X. Chen, Z. Liu, T. Braud, P. Hui, J. Kangasharju, "DRLE: Decentralized reinforcement learning at the edge for traffic light control in the IoV," IEEE Trans. Intell. Transp. Syst., accepted, 2020.
R. Yin, Z. Zou, C. Wu, J. Yuan, X. Chen, and G. Yu, "Learning-based WiFi traffic load estimation in NR-U systems," IEICE Trans. Fundamentals, accepted, 2020.
R. Yin, Z. Wu, S. Liu, C. Wu, J. Yuan, and X. Chen, "Decentralized radio resource adaptation in D2D-U networks," IEEE Internet Things J., accepted, 2020.
Z. Liu, J. Li, X. Chen, C. Wu, S. Ishihara, and Y. Ji, "Fuzzy logic-based adaptive point cloud video streaming," IEEE Open Journal of the Computer Society, Accepted, 2020.
P. Zhou, T. Braud, A. Zavodovski, Z. Liu, X. Chen, P. Hui, and J. Kangasharju, "Edge-facilitated augmented vision in vehicle-to-everything networks," IEEE Trans. Veh. Technol., accepted, 2020.
Y. Hua, R. Li, Z. Zhao, X. Chen, and H. Zhang, "GAN-powered deep distributional reinforcement learning for resource management in network slicing," IEEE J. Sel. Areas Commun., vol. 38, no. 2, pp. 334-349, Feb. 2020.
S. Guleng, C. Wu, Z. Liu, and X. Chen, "Edge-based V2X communications with big data intelligence," IEEE Access, in press, 2020.
Z. Du, C. Wu, X. Chen, X. Wang, T. Yoshinaga, and Y. Ji, "A VDTN scheme with enhanced buffer management," Wireless Netw., published, Jan. 2020.
H. Vuojala, M. Mustonen, X. Chen, K. Kujanpää, P. Ruuska, M. Höyhtyä, M. Matinmikko-Blue, J. Kalliovaara, P. Talmola, and A.-G. Nyström, "Spectrum access options for vertical network service providers in 5G," Telecommun. Policy, in press, Dec. 2019.
M. S. Elbamby, C. Perfecto, C.-F. Liu, J. Park, S. Samarakoon, X. Chen, and M. Bennis, "Wireless edge computing with latency and reliability guarantees," Proc. IEEE, vol. 107, no. 8, pp. 1717-1737, Aug. 2019.
X. Wang, Z. Liu, Y. Gao, X. Zheng, X. Chen, and C. Wu, "A near-optimal data structure for approximate range emptiness problem in Information-Centric Internet of Thing," IEEE Access, accepted for publication, 2019.
S. Guleng, C. Wu, X. Chen, X. Wang, T. Yoshinaga, and Y. Ji, "Decentralized trust evaluation in vehicular internet of things," IEEE Access, accepted for publication, 2019.
Y. Hua, Z. Zhao, R. Li, X. Chen, Z. Liu, and H. Zhang, "Deep learning with long short-term memory for time series prediction," IEEE Commun. Mag., vol. 57, no. 6, pp. 114-119, Jun. 2019. (ESI Highly Cited Paper)
C. Wu, X. Chen, T. Yoshinaga, and Y. Zhang, "Integrating licensed and unlicensed spectrum in internet-of-vehicles with mobile edge computing," IEEE Network, accepted for publication, 2019.
R. Li, Z. Zhao, Q. Sun, C.-L. I, C. Yang, X. Chen, M. Zhao, and H. Zhang, "Deep reinforcement learning for resource management in network slicing," IEEE Access, vol. 6, pp. 74429-74441, Nov. 2018.
C. An, C. Wu, T. Yoshinaga, X. Chen, and Y. Ji, "A context-aware edge-based VANET communication scheme for ITS," Sensors, vol. 18, no. 7, Jun. 2018.
C. Wu, T. Yoshinaga, X. Chen, L. Zhang, and Y. Ji, "Cluster-based content distribution integrating LTE and IEEE 802.11p with fuzzy logic and Q-learning," IEEE Comput. Intell. Mag., vol. 13, no. 1, pp. 41-50, Feb. 2018.
Q. Hu, C. Wu, X. Zhao, X. Chen, Y. Ji, and T. Yoshinaga, "Vehicular multi-access edge computing with licensed sub-6 GHz, IEEE 802.11p and mmWave," IEEE Access, vol. 6, pp. 1995-2004, 2018.
L. Zhang, C. Wu, T. Yoshinaga, X. Chen, T. Murase, and Y. Ji, "Multi-hop data delivery virtualization for green decentralized IoT," Wireless Commun. Mobile Comput., vol. 2017, 2017.
M. Höyhtyä, A. Mämmelä, X. Chen, A. Hulkkonen, J. Janhunen, J.-C. Dunat, and J. Gardey, "Database-assisted spectrum sharing in satellite communications: A survey," IEEE Access, vol. 5, pp. 25322-25341, 2017.
X. Chen, X. Chen, and T. Liu, "A unified performance optimization for secrecy wireless information and power transfer over interference channels," IEEE Access, vol. 5, pp. 12726-12736, 2017.
R. Yu, G. Xue, M. Bennis, X. Chen, and Z. Han, "HSDRAN: Hierarchical software-defined radio access network for distributed optimization," IEEE Trans. Veh. Technol., vol. 67, no. 9, pp. 8623-8636, 2017.
Y. Zhou, Z. Zhao, Q. Ying, R. Li, X. Zhou, X. Chen, and H. Zhang, "Large-scale spatial distribution identification of base stations in cellular networks," IEEE Access, vol. 3, pp. 2987-2999, Jan. 2016.
C. Wu, X. Chen, Y. Ji, F. Liu, S. Ohzahata, T. Yoshinaga, and T. Kato, "Packet size-aware broadcasting in VANETs with fuzzy logic and RL-based parameter adaptation," IEEE Access, no. 3, pp. 2481-2491, Dec. 2015.
T. Chen, M. Matinmikko, X. Chen, X. Zhou, and P. Ahokangas, "Software defined mobile networks: Concept, survey and research directions," IEEE Commun. Mag., vol. 53, no. 11, pp. 126-133, Nov. 2015. (Listed no. 3 among the top 50 most frequently downloaded articles in IEEE Commun. Mag., Dec. 2015, and listed no. 53 among the top 100 documents downloaded in IEEE Xplore, Dec. 2015.)
C. Wu, X. Chen, Y. Ji, S. Ohzahata, and T. Kato, "Efficient broadcasting in VANETs using dynamic backbone and network coding," IEEE Trans. Wireless Commun., vol. 14, no. 11, pp. 6057-6071, Nov. 2015.
J. Zheng, Y. Cai, X. Chen, R. Li, and H. Zhang, "Optimal base station sleeping in green cellular networks: A distributed cooperative framework based on game theory," IEEE Trans. Wireless Commun., vol. 14, no. 8, pp. 4391-4406, Apr. 2015.
T. Chen, H. Zhang, X. Chen, O. Tirkkonen, "SoftMobile: Control evolution for future heterogeneous mobile networks," IEEE Wireless Commun. Mag., vol. 21, no. 6, pp. 70-78, Dec. 2014.
R. Li, Z. Zhao, X. Chen, J. Palicot, H. Zhang, "TACT: A transfer actor-critic learning framework for energy saving in cellular radio access networks," IEEE Trans. Wireless Commun., vol. 13, no. 4, pp. 2000-2011, Apr. 2014.
X. Chen, X. Wang, and X. Chen, "Energy-efficient optimization for wireless information and power transfer in large-scale MIMO systems employing energy beamforming," IEEE Wireless Commun. Lett., vol. 2, no. 6, pp. 667-670, Dec. 2013. (Listed among the top 25 most frequently downloaded articles in IEEE Wireless Commun. Lett., Feb. 2014.) (ESI Highly Cited Paper)
X. Chen, C. Wu, T. Chen, Z. Liu, M. Bennis, and Y. Ji, “Age of information-aware resource management in UAV-assisted mobile-edge computing systems,” Proc. IEEE GLOBECOM, accepted, 2020.
X. Chen and C. Wu, “An oblivious game-theoretic perspective of RRM in vehicular communications,” Proc. IEEE/CIC ICCC, accepted, 2020.
X. Chen, T. Chen, Z. Zhao, H. Zhang, M. Bennis, and Yusheng Ji, "Resource awareness in unmanned aerial vehicle-assisted mobile-edge computing systems," in Proc. IEEE VTC-Spring, Antwerp, Belgium, May 2020.
X. Chen, Z. Zhao, C. Wu, T. Chen, H. Zhang, and M. Bennis, "Secrecy preserving in stochastic resource orchestration for multi-tenancy network slicing," in Proc. IEEE GLOBECOM, Waikoloa, HI, Dec. 2019.
X. Chen, C. Wu, T. Chen, N. Wu, H. Zhang, and Y. Ji, "Age of information-aware multi-tenant resource orchestration in network slicing," in Proc. CBDCom, Fukuoka, Japan, Aug. 2019. (Best Paper Award)
X. Chen, C. Wu, H. Zhang, Y. Zhang, M. Bennis, and H. Vuojala, "Decentralized deep reinforcement learning for delay-power tradeoff in vehicular communications," in Proc. IEEE ICC, Shanghai, China, May 2019.
X. Chen, "Learning to schedule resources in software-defined radio access networks,'' in IEEE GLOBECOM WKSHPS, Abu Dhabi, UAE, Dec. 2018.
X. Chen, H. Zhang, C. Wu, S. Mao, Y. Ji, and M. Bennis, "Performance optimization in mobile-edge computing via deep reinforcement learning," in Proc. IEEE VTC-Fall, Chicago, IL, Aug. 2018.
X. Chen, P. Liu, H. Liu, C. Wu, and Y. Ji, "Multipath transmission scheduling in millimeter wave cloud radio access networks," in Proc. IEEE ICC, Kansas City, MO, May 2018.
X. Chen, C. Wu, and M. Bennis, "An oblivious game-theoretic approach for wireless scheduling in V2V communications,'' in Proc. IEEE GLOBECOM, Singapore, Dec. 2017.
X. Chen, H. Zhang, and Z. Han, "Delay-tolerant resource scheduling in large-scale virtualized radio access networks," in Proc. IEEE ICC, Paris, France, May 2017.
X. Chen, Z. Han, Z. Chang, G. Xue, H. Zhang, and M. Bennis, "Adapting downlink power in fronthaul constrained hierarchical software-defined RANs," in Proc. IEEE WCNC, San Francisco, California, Mar. 2017.
X. Chen, Z. Han, H. Zhang, M. Bennis, and T. Chen, "Foresighted resource scheduling in software-defined radio access networks," in Proc. IEEE GlobalSIP, Orlando, Florida, Dec. 2015.
X. Chen, C. Wu, Y. Zhou, and H. Zhang, "A learning approach for traffic offloading in stochastic heterogeneous cellular networks," in Proc. IEEE ICC, London, UK, Jun. 2015.
X. Chen, T. Chen, C. Wu, and M. Lasanen, "Greenly offloading traffic in stochastic heterogeneous cellular networks," in Proc. IEEE CCS, Rhine River, Germany, Sep. 2014.
X. Chen, H. Zhang, T. Chen, and J. Palicot, "Combined learning for resource allocation in autonomous heterogeneous cellular networks," in Proc. IEEE PIMRC, London, UK, Sep. 2013.
X. Chen, H. Zhang, and M. Lasanen, "Combined learning for energy efficiency in heterogeneous cellular networks," in IEEE PIMRC WKSHPS, London, UK, Sep. 2013.
X. Chen, T. Chen, W. Cheng, and H. Zhang, "Reciprocity inspired learning for opportunistic spectrum access in cognitive radio networks," in Proc. CROWNCOM, Washington DC, USA, Jul. 2013. (Invited Paper)
X. Chen, H. Zhang, T. Chen, and M. Lasanen, "Improving energy efficiency in green femtocell networks: A hierarchical reinforcement learning framework," in Proc. IEEE ICC, Budapest, Hungary, Jun. 2013.
X. Chen, Z. Zhao, D. Grace, and H. Zhang, "Reciprocal learning for cognitive medium access," in Proc. IEEE WCNC, Shanghai, China, Apr. 2013.
X. Chen, Z. Zhao, H. Zhang, and T. Chen, "Conjectural variations in multi-agent reinforcement learning for energy-efficient cognitive wireless mesh networks," in Proc. IEEE WCNC, Paris, France, Apr. 2012.
X. Chen, Z. Zhao, and H. Zhang, "Power entangling and matching in cognitive wireless mesh networks by applying conjecture based multi-agent QQ-learning approach," in IEEE GLOBECOM MCECN WKSHPS, Miami, USA, Dec. 2010.
X. Chen, Z. Zhao, H. Zhang, and T. Chen, "Applying multi-agent Q-learning scheme in cognitive wireless mesh networks for green communications," in IEEE PIMRC W-Green WKSHPS, Turkey, Sep. 2010.
X. Chen, Z. Zhao, and H. Zhang, "Green transmit power assignment for cognitive radio networks by applying multi-agent Q-learning approach," in Proc. EuWIT, Paris, France, Sep. 2010.
X. Chen, Z. Zhao, T. Jiang, D. Grace, and H. Zhang, "Inter-cluster connection in cognitive wireless mesh networks based on intelligent network coding," in Proc. IEEE PIMRC, Tokyo, Japan, Sep. 2009.
X. Chen, Z. Zhao, and H. Zhang, "Distributed iterative power allocation in cognitive wireless mesh networks," in Proc. WCSP, Nanjing, China, Nov. 2009.
S. Liu, G. Yu, X. Chen, and M. Bennis, “Joint user association and resource allocation for wireless hierarchical federated learning with non-IID data,” in Proc. IEEE ICC, Seoul, South Korea, May 2022.
D. Wang, H. Qin, Z. Li, P. Qi, N. Zhang, X. Chen, and K. Yu, “Minimizing AoI under convertness constraints in Internet of things neworks,” in Proc. IEEE ICFTIC, Nov. 2021.
Z. Wang, X. Chen, R. Li, H. Hu, and T. Zhou, “Enhancing detection of SSVEPs through spatial filtering: An inter-trial distance minimization perspective,” in Proc. ICT-DM, Hangzhou, China, Dec. 2021.
Y. Shen, R. Yin, H. Zhu, X. Chen, and C. Wu, “Resource management in MEC based multi-robot cooperation systems,” in Proc. ICT-DM, Hangzhou, China, Dec. 2021.
L. Niu, Y. Cao, C. Wu, R. Yin, and X. Chen, "Performance optimization in heterogeneous WiFi and cellular mobile edge computing systems," in Proc. IEEE GLOBECOM, Madrid, Spain, Dec. 2021.
X. Lu, R. Yin, C. Chen, X. Chen, and C. Wu, "Distributed resource management for licensed and unlicensed integrated mobile edge computing," in Proc. IEEE GLOBECOM, Madrid, Spain, Dec. 2021.
H. Lin, B. Zhang, Y. Cao, Z. Liu, and X. Chen, "A deep reinforcement learning approach for point cloud video transmissions," in Proc. IEEE VTC-Fall, Virtual Conference, Sep. 2021.
Z. Wu, J. Yuan, R. Yin, X. Chen, and C. Wu, "Distributed resource allocation for maximizing energy efficiency in D2D-U enabled NR network," in Proc. IEEE VTC-Fall, Virtual Conference, Sep. 2021.
S. Dinh, H. Liu, X. Chen, and F. Ouyang, "Multi-Beam Power Allocation in Dynamic Massive MIMO Cloud Radio Access Networks," in Proc. IEEE ICC, Montreal, Canada, Jun. 2021.
H. Zhou, X. Wang, M. Umehira, X. Chen, C. Wu, and Y. Ji, “Deep reinforcement learning based access control for disaster response networks,” Proc. IEEE GLOBECOM, accepted, 2020.
Z. Zou, R. Yin, C. Wu, J. Yuan, and X. Chen, “Distributed spectrum and power allocation for D2D-U Networks,” EAI MONAMI, accepted, 2020.
Y. Cao, Z. Zhou, P. Duan, C. Wand, and X. Chen, “A lghtweight deep learning algorithm for identity recognition,” EAI MONAMI, accepted, 2020.
Z. Wang, H. Hu, X. Chen, T. Zhou, and T. Xu, "A novel SSVEP-based brain-computer interface using joint frequency and space modulation," in IEEE INFOCOM WKSHPS, accepted, Toronto, Canada, Jul. 2020.
P. Sun, J. Lan, Z. Guo, D. Zhang, X. Chen, Y. Hu, and Z. Liu, "DeepMigration: Flow migration for NFV with graph-based deep reinforcement learning," in Proc. IEEE ICC, Dublin, Ireland, Jun. 2020.
Y. Hua, R. Li, Z. Zhao, H. Zhang, and X. Chen, "GAN-based deep distributional reinforcement learning for resource management in network slicing," in Proc. IEEE GLOBECOM, Waikoloa, HI, Dec. 2019.
Y. Hua, Z. Zhao, R. Li, X. Chen, Z. Liu, and H. Zhang, "Traffic prediction based on random connectivity in deep learning with long short-term memory," in Proc. IEEE VTC-Fall, Chicago, IL, Aug. 2018.
H. Liu, C. Tran, J. Lasota, S. Dinh, X. Chen, and F. Ouyang, "Massive MIMO power allocation in millimeter wave networks," in Proc. WASA, Tianjin, China, Jun. 2018.
H. Zhang, X. Chen, and Z. Han, "A zero-determinant approach for power control of multiple wireless operators in LTE unlicensed," in Proc. IEEE GLOBECOM, Washington DC, USA, Dec. 2016.
D. Zhang, Z. Chang, F. R. Yu, X. Chen, and T. Hämäläinen, "A double auction mechanism for virtual resource allocation in SDN-based cellular network," in Proc. IEEE PIMRC, Valencia, Spain, Sep. 2016.
R. Yu, S. Qin, M. Bennis, X. Chen, G. Feng, Z. Han, and G. Xue, "Enhancing software-defined RAN with collaborative caching and scalable video coding," in Proc. IEEE ICC, Kuala Lumpur, Malaysia, May 2016.
Z. Chang, Y. Gu, Z. Han, X. Chen, and T. Ristaniemi, "Context-aware data caching for 5G heterogeneous small cells networks," in Proc. IEEE ICC, Kuala Lumpur, Malaysia, May 2016.
T. Chen, X. Chen, and R. Riggio, "A network graph approach for network energy saving in small cell networks," in Proc. IEEE VTC-Spring, Nanjing, China, May 2016.
M. Li, Z. Zhao, Y. Zhou, X. Chen, and H. Zhang, "Linear dependence between base stations deployment and traffic spatial distribution in cellular networks," in Proc. ICT, Thessaloniki, Greece, May 2016.
Y. Wu, X. Chen, and X. Chen, "Secure beamforming for cognitive radio networks with artificial noise," in Proc. WCSP, Nanjing, China, Oct. 2015.
C. Wu, X. Chen, Y. Ji, S. Ohzahata, and T. Kato, "A packet size-aware multi-hop broadcast protocol for VANETs based on adaptive redundancy," in Proc. ICCCN, Las Vegas, Nevada, USA, Aug. 2015.
C. Wu, X. Chen, Y. Ji, S. Ohzahata, and T. Kato, "An intelligent broadcast protocol for VANETs based on transfer learning," in Proc. IEEE VTC-Spring, Glasgow, Scotland, May 2015.
L. Liu, X. Chen, M. Bennis, G. Xue, and Z. Han, "A distributed ADMM approach for mobile data offloading in software defined network," in Proc. IEEE WCNC, New Orleans, LA, USA, Mar. 2015.
R. Li, Z. Zhao, X. Chen, Y. Louët, and H. Zhang, "Intelligent base station management in greener traffic-aware cellular networks," in Proc. URSI GASS, Beijing, China, Aug. 2014.
M. Höyhtyä, M. Matinmikko, X. Chen, J. Hallio, J. Auranen, R. Ekman, J. Röning, J. Engelberg, J. Kalliovaara, T. Taher, A. Riaz, and D. Roberson, "Measurements and analysis of spectrum occupancy in the 2.3-2.4 GHz band in Finland and Chicago," in Proc. CROWNCOM, Oulu, Finland, Jun. 2014.
J. Zheng, Y. Cai, X. Chen, R. Li, H. Zhang, "A game-theoretic approach for optimal base station sleeping in green cellular networks," in Proc. WCSP, Hefei, China, Oct. 2014.
R. Li, Z. Zhao, X. Chen, and H. Zhang, "Energy saving through a learning framework in greener cellular radio access networks," in Proc. IEEE Globecom, Anaheim, California, USA, Dec. 2012.
L. Wang, X. Chen, Z. Zhao, and H. Zhang, "Exploration vs. exploitation for distributed channel access in cognitive radio networks: A multiuser case study," in Proc. IEEE ISCIT, Hangzhou, China, Oct. 2011.
L. Wang, X. Chen, Z. Zhao, and H. Zhang, "Collaborative spectrum sharing based on information pooling for cognitive radio networks with channel heterogeneity," in Proc. IEEE ISCIT, Hangzhou, China, Oct. 2011.
T. Chen, H. Zhang, Z. Zhao, and X. Chen, "Towards green wireless access networks," in Proc. ChinaCom, Beijing, Aug. 2010. (Invited Paper)