Bodong Shang

Ph. D. Student, Wireless@VT - Virginia Tech

The Bradley Department of Electrical and Computer Engineering, Virginia Tech, USA

 

Email:

bdshang@vt.edu

ADDRESS:

Durham Hall, 1145 Perry Street, Blacksburg, VA, 24061, USA

 

Brief Biography

Bodong Shang received his B.Eng. degree in telecommunications engineering from Northwest University, Xi'an, China, in 2015, and his M.S. degree in communication and information system from Xidian University, Xi'an, China, in 2018, and was affiliated with the State Key Laboratory of Integrated Services Networks. He is currently pursuing Ph.D. degree in the Bradley department of electrical and computer engineering in Virginia Tech, Blacksburg, USA, and is affiliated with the Wireless@VT research group. He received the National Scholarship for graduate student in 2016 and 2017, respectively. His current research interests include several aspects of wireless communications and networking, such as 6G, unmanned aerial vehicle, reconfigurable intelligent surface, mobile edge computing, vehicle-to-everything, and space-air-ground integrated networks.

 

Current Research Interests

Wireless Communications and Networking:

6G, unmanned aerial vehicle (UAV), reconfigurable intelligent surface (RIS), mobile edge computing (MEC), vehicle-to-everything (V2X), space-air-ground integrated networks (SAGINs), etc.

Artificial Intelligence (AI) for Wireless Networking:

AI-assisted wireless network design, machine learning for wireless communications, etc.

Mathematics:

Optimization, deep learning, reinforcement learning, stochastic geometry, game theory, etc.

 

Education

Ph. D., At present

Virginia Tech (弗吉尼亚理工大学) , , USA

The Bradley Department of Electrical and Computer Engineering, Wireless@Virginia Tech

Major: Electrical and Electronic Engineering

Subject Ranking: World Rank #12, ShanghaiRanking's Global Ranking of Academic, Subjects 2020 - Electrical & Electronic Engineering

 

 

M.S. degree, 2018

Xidian University(西安电子科技大学), China, Project 211

School of Telecommunications Engineering

Major: Communication and Information System

Subject Ranking: World Rank #3, ShanghaiRanking's Global Ranking of Academic, Subjects 2020 - Telecommunication Engineering

 

 

B.Eng. degree, 2015

Northwest University (西北大学), , China, Project 211

School of Information Science and Technology

Major: Communication Engineering

 

 

Publications

Journal Papers:

[J16] L. Liu, J. Feng, Q. Pei, C. Chen, Y. Ming, B. Shang, and M. Dong, "Blockchain-enabled Secure Data Sharing Scheme in Mobile Edge Computing: An Asynchronous Advantage Actor-Critic Learning Approach", in IEEE Internet of Things Journal (IOTJ), 2020.

 

[J15] C. Wang, M. Liu, Q. Chen, B. Shang, H. Tang, "Automatic digital modulation recognition in the presence of alpha-stable noise", in Physical Communication (PHYCOM), 2020 Dec 1;43, 101221.

[J14] B. Shang, L. Liu, H. Chen, J. C. Zhang, S. Pudlewski, E. S. Bentley and J. D. Ashdown, “Spatial Spectrum Sensing in Uplink Two-Tier User-Centric Deployed HetNets”, in IEEE Transactions on Wireless Communications (TWC), vol. 19, no. 12, pp. 7957-7972, Dec. 2020.

[J13] B. Shang, L, Liu, R. M. Rao, V. Marojevic and J. H. Reed, "3D Spectrum Sharing for Hybrid D2D and UAV Networks", in IEEE Transactions on Communications (TCOM), vol. 68, no. 9, pp. 5375-5389, Sept. 2020.

[J12] B. Shang, L. Liu, "Mobile Edge Computing in the Sky: Energy Optimization for Air-Ground Integrated Networks", in IEEE Internet of Things Journal (IOTJ), vol. 7, no. 8, pp. 7443-7456, Aug. 2020.

[J11] B. Shang, V. Marojevic, Y. Yi, A. Abdalla, and L. Liu, "Spectrum Sharing for UAV Communications: Spatial Spectrum Sensing and Open Issues", in IEEE Vehicular Technology Magazine (VTM), vol. 15, no. 2, pp. 104-112, June 2020.

[J10] J. Ma, L. Liu, H. Song, R. Shafin, B. Shang, and P. Fan, "Scalable Video Transmission in Cache-aided Device-to-Device Networks", in IEEE Transactions on Wireless Communications (TWC), vol. 19, no. 6, pp. 4247-4261, June 2020.

[J9] J. Li, M. Liu, N. Tang, and B. Shang, "Non Data-Aided SNR Estimation for UAV OFDM Systems", in Algorithms, 13, no. 1: 22., Jan 2020.

[J8] B. Shang, L. Liu, "Machine Learning Meets Point Process: Spatial Spectrum Sensing in User-Centric Networks," in IEEE Wireless Communications Letters (WCL), vol. 9, no. 1, pp. 34-37, Jan 2020.

[J7] B. Shang, L. Liu, J. Ma and P. Fan, "Unmanned Aerial Vehicle Meets Vehicle-to-Everything in Secure Communications", in IEEE Communications Magazine (COMMAG), vol. 57, no. 10, pp. 98-103, Oct 2019.

[J6] J. Ma, L. Liu, B. Shang, and P. Fan, “Cache-aided Cooperative Device-to-Device Networks: A Stochastic Geometry View,” in IEEE Transactions on Communications (TCOM), vol. 67, no. 11, pp. 7444-7455, Nov 2019.

[J5] M. Liu, J. Zhang, Y. Lin, Z. Wu, B. Shang and F. Gong, "Carrier Frequency Estimation of Time-Frequency Overlapped MASK Signals for Underlay Cognitive Radio Network," in IEEE Access (ACCESS), vol. 7, pp. 58277-58285, 2019.

[J4] J. Feng, Q. Pei, F. R. Yu, X. Chu and B. Shang, "Computation Offloading and Resource Allocation for Wireless Powered Mobile Edge Computing with Latency Constraint", in IEEE Wireless Communications Letters (WCL), vol. 8, no. 5, pp. 1320-1323, Oct 2019.

[J3] B. Shang, L. Zhao, K. C. Chen and X. Chu, "Wireless-Powered Device-to-Device Assisted Offloading in Cellular Networks", in IEEE Transactions on Green Communications and Networking (TGCN), vol. 2, no. 4, pp. 1012-1026, Dec 2018.

[J2] B. Shang, L. Zhao, K. C. Chen and X. Chu, "An Economic Aspect of Device-to-Device Assisted Offloading in Cellular Networks," in IEEE Transactions on Wireless Communications (TWC), vol. 17, no. 4, pp. 2289-2304, April 2018.

[J1] B. Shang, L. Zhao and K. C. Chen, "Operator's Economy of Device-to-Device Offloading in Underlaying Cellular Networks", in IEEE Communications Letters (CL), vol. 21, no. 4, pp. 865-868, April 2017.

 

Conference Papers:

[C10] H. Song, L. Liu, B. Shang, S. Pudlewski, and E. S. Bentley, "Enhanced Flooding-Based Routing Protocol for Swarm UAV Networks: Random Network Coding Meets Clustering", accepted to appear in IEEE INFOCOM 2021 - IEEE Conference on Computer Communications (INFOCOM), Virtual Conference, 2021.

[C9] B. Shang, S. Liu, S. Lu, Y. Yi, W. Shi, and L. Liu, "A Cross-Layer Optimization Framework for Distributed Computing in IoT Networks", accepted to appear in The 1st Workshop on Edge Computing and Communications (EdgeComm) of 2020 ACM/IEEE Symposium on Edge Computing (SEC), Virtual, November 11-13, 2020, pp. 1-5.

[C8] A. Abdalla, B. Shang, V. Marojevic, and L. Liu, "Performance Evaluation of Aerial Relaying Systemsfor Improving Secrecy in Cellular Networks", accepted to appear in 2020 IEEE Vehicular Technology Conference (VTC) Fall, Victoria, British Columbia, Canada, pp. 1-5.

[C7] A. Abdalla, B. Shang, V. Marojevic, and L. Liu, "Securing Mobile IoT with Unmanned Aerial Systems", 2020 IEEE 6th World Forum on Internet of Things (WF-IoT), New Orleans, LA, USA, 2020, pp. 1-6.

[C6] B. Shang, L. Liu, H. Chen, J. C. Zhang, S. Pudlewski, E. S. Bentley and J. D. Ashdown, “Spatial Spectrum Sensing-Based D2D Communications in User-Centric Deployed HetNets”, 2019 IEEE Global Communications Conference (GLOBECOM), Waikoloa, HI, USA, 2019, pp. 1-6.

[C5] G. Liu, L. Zhao, B. Shang, X. Chu and K. Chen, "Optimal Pricing Strategy for Telecom Operator in Cellular Networks with Random Topologies", 2018 IEEE International Conference on Communications (ICC), Kansas City, MO, 2018, pp. 1-6.

[C4] X. Rao, L. Zhao, B. Shang and K. Chen, "Performance Analysis of Wireless-Powered Cellular Networks with Randomly Deployed Power Beacons", 2018 IEEE International Conference on Communications (ICC), Kansas City, MO, 2018, pp. 1-6.

[C3] B. Shang, L. Zhao, K. Chen and X. Chu, "Energy Efficient D2D-Assisted Offloading with Wireless Power Transfer", GLOBECOM 2017 - 2017 IEEE Global Communications Conference (GLOBECOM), Singapore, 2017, pp. 1-6.

[C2] B. Shang, L. Zhao and K. Chen, "Enabling device-to-device communications in LTE-unlicensed spectrum", 2017 IEEE International Conference on Communications (ICC), Paris, 2017, pp. 1-6.

[C1] B. Shang, L. Zhao, K. Chen and G. Zhao, "Energy-Efficient Device-to-Device Communication in Cellular Networks", 2016 IEEE 83rd Vehicular Technology Conference (VTC) Spring, Nanjing, 2016, pp. 1-5.

 

Research Summary

1. Optimization, Learning, and Algorithm Design for Wireless Communications:

a) Unmanned Aerial Vehicle:

In future wireless networks, as unmanned aerial vehicles (UAVs) become more available, mobile users will not be restricted to terrestrial mobile stations. There are many applications for UAVs in wireless networks, such as UAV swarm networks in disasters, UAV-assisted vehicle-toeverything (V2X) communications, UAV-enabled smart city development, traffic offloading in hotspots, and surveillance and Internet of Things (IoT) networks. The wireless network architecture will become a 3D structure, incorporating terrestrial and aerial network nodes, which are more dynamic than the fixed terrestrial communications network that we have today. In [1], the spectrum sharing for UAV communications was investigated. In [2], the physical layer security with unmanned aerial systems was studied. In [3], the resource allocation algorithm for UAV enabled mobile edge computing (MEC) was designed. In [4], the spectrum sharing between UAV and device-to-device (D2D) hybrid networks was analyzed.

 

 

References:

1. B. Shang, V. Marojevic, Y. Yi, A. Abdalla, and L. Liu, "Spectrum Sharing for UAV Communications: Spatial Spectrum Sensing and Open Issues", in IEEE Vehicular Technology Magazine (VTM), vol. 15, no. 2, pp. 104-112, June 2020.

2. B. Shang, L. Liu, J. Ma and P. Fan, "Unmanned Aerial Vehicle Meets Vehicle-to-Everything in Secure Communications", in IEEE Communications Magazine (CM), vol. 57, no. 10, pp. 98-103, Oct 2019.

3. B. Shang, L. Liu, "Mobile Edge Computing in the Sky: Energy Optimization for Air-Ground Integrated Networks", in IEEE Internet of Things Journal (JIOT), vol. 7, no. 8, pp. 7443-7456, Aug. 2020.

4. B. Shang, L, Liu, R. M. Rao, V. Marojevic and J. H. Reed, "3D Spectrum Sharing for Hybrid D2D and UAV Networks", in IEEE Transactions on Communications (TCOM), vol. 68, no. 9, pp. 5375-5389, Sept. 2020.

5. B. Shang, L. Liu, H. Song, B. Xu, S. Pudlewski, and E. S. Bentley, “Optimizing the First Hop in Random Linear Network Coding: Analysis and Deep Learning-Based Approach”, submitted to IEEE for possible publication.

 

 

 

b) Edge Computing:

Mobile edge computing (MEC) allows mobile user equipments (UEs) to offload computation tasks onto network edges such as cellular base stations, rather than computing locally, to reduce the computation latency and energy consumption of mobile devices. Different from traditional cloud computing, offloading computation tasks onto MEC servers in proximity can reduce the transmission delay. However, the computation capacity of a MEC server is generally limited. [1] developed an energy-efficient joint communication and computing resource allocation scheme, as well as UAV placement, for air-ground integrated MEC networks. Specifically, the total energy consumption at UEs in air-ground integrated MEC networks was minimized, by jointly optimizing users' association, uplink power control, channel allocation, computation capacity allocation, and UAV three dimensional (3D) placement, under the constraints of binary offloading, UEs' latency, computation capacity, UAV energy consumption and available bandwidth. In addition, in [2], we studied an algorithm for energy-efficient resource allocation in vehicular edge computing system, where multiple roadside units assisted users to offload computation tasks to edge servers.

References:

1. B. Shang, and L. Liu, "Mobile Edge Computing in the Sky: Energy Optimization for Air-Ground Integrated Networks", in IEEE Internet of Things Journal (JIOT), vol. 7, no. 8, pp. 7443-7456, Aug. 2020.

2. B. Shang, L. Liu, and Z. Tian, "Learning-Assisted Energy-Efficient Computation Offloading for Vehicular Edge Computing Systems", submitted to IEEE for possible publication.

3. B. Shang, S. Liu, S. Lu, Y. Yi, W. Shi, and L. Liu, "A Cross-Layer Optimization Framework for Distributed Computing in IoT Networks", accepted to appear in The 1st Workshop on Edge Computing and Communications (EdgeComm) of 2020 ACM/IEEE Symposium on Edge Computing (SEC), Virtual, November 11-13, 2020, pp. 1-5.

 

 

 

2. Performance Analysis and Wireless Networking Design:

a) Spectrum Sensing:

With the dramatically increasing number of mobile devices in wireless networks, wireless spectrum resources are becoming gradually scarce nowadays. By reusing the licensed spectrum, proximate mobile devices can communicate directly without needing the data transmissions go through network infrastructures which improves the overall system performance due to the reliable short communicating distances. However, this may create severe interference to cellular networks. Spatial spectrum sensing (SSS) motivates mobile devices to sense the spatial spectrum opportunities and reuse the scarce spectrum aggressively in cognitive radio networks, where the interference to cellular networks can be managed to guarantee the Quality-of-Service (QoS) of cellular communications. In [1] and [2], the SSS-based secondary users (SUs) in uplink two-tier user-centric deployed HetNets was investigated. In [3], a machine learning-based approach was developed to characterize the distributions of the aggregated received power at a SU during SSS.

UAVs are attracting increasing attention for applications such as video streaming, surveillance, and delivery using reliable line-of-sight (LOS) links. Nevertheless, due to the large radio-frequency (RF) transmission footprint from a UAV transmitted to ground nodes, UAV communications may significantly deteriorate the performance of cochannel ground communication links. With the lack of a dedicated spectrum, researchers need to design efficient spectrum-sharing policies for UAV communications to enhance spectral efficiency (SE) and control interference-to-ground communications. In [4] and [5], the spectrum sharing for UAV communications were investigated, where the optimal SSS radius for UAVs was obtained to maximize the SE of UAV networks while guaranteeing the SE of ground primary networks.

References:

1. B. Shang, L. Liu, H. Chen, J. C. Zhang, S. Pudlewski, E. S. Bentley and J. D. Ashdown, “Spatial Spectrum Sensing in Uplink Two-Tier User-Centric Deployed HetNets”, accepted to appear in IEEE Transactions on Wireless Communications (TWC), 2020.

2. B. Shang, L. Liu, H. Chen, J. C. Zhang, S. Pudlewski, E. S. Bentley and J. D. Ashdown, “Spatial Spectrum Sensing-Based D2D Communications in User-Centric Deployed HetNets”, 2019 IEEE Global Communications Conference (GLOBECOM), Waikoloa, HI, USA, 2019, pp. 1-6.

3.B. Shang, L. Liu, "Machine Learning Meets Point Process: Spatial Spectrum Sensing in User-Centric Networks", in IEEE Wireless Communications Letters (WCL), vol. 9, no. 1, pp. 34-37, Jan 2020.

4. B. Shang, L, Liu, R. M. Rao, V. Marojevic and J. H. Reed, "3D Spectrum Sharing for Hybrid D2D and UAV Networks", in IEEE Transactions on Communications (TCOM), vol. 68, no. 9, pp. 5375-5389, Sept. 2020.

5. B. Shang, V. Marojevic, Y. Yi, A. Abdalla, and L. Liu, "Spectrum Sharing for UAV Communications: Spatial Spectrum Sensing and Open Issues", in IEEE Vehicular Technology Magazine (VTM), vol. 15, no. 2, pp. 104-112, June 2020.

 

b) Traffic Offloading in HetNets:

With the upsurge of mobile data traffic and the explosively increase of mobile devices, cellular networks are facing technical challenges in supporting enormous data flows, high data rate, and large system capacity. In high user density areas, the base stations (BSs) are suffering heavy load burdens. To address the above issues, device-to-device (D2D) communications have been proposed to improve the network capacity and to alleviate the traffic burden on cellular networks by exploiting the physical proximity of mobile devices. In the meantime, content sharing among multiple devices, e.g., video streaming, has been regarded as one of the most promising methods for traffic offloading and as the tremendous data consuming application in wireless communications. However, as mobile devices are powered by limited battery energy, in general there is no obligation for mobile devices to participate in cellular traffic offloading or D2D content sharing. In [1] and [2], an economic aspect of D2D-assisted offloading was investigated. In [3] and [4], the wireless power transfer-enabled D2D-assisted offloading in cellular networks was studied. In addition, LTE-Unlicensed (LTE-U) is considered as a groundbreaking technology to address the increasing scarcity of available spectrum by extending cellular communications to unlicensed band. In [5], the LTE-U enabled communications were analyzed. In [6], the energy efficiency of the integrated D2D and cellular networks was evaluated.

 

References:

1. B. Shang, L. Zhao, K. C. Chen and X. Chu, "An Economic Aspect of Device-to-Device Assisted Offloading in Cellular Networks," in IEEE Transactions on Wireless Communications (TWC), vol. 17, no. 4, pp. 2289-2304, April 2018.

2. B. Shang, L. Zhao and K. C. Chen, "Operator's Economy of Device-to-Device Offloading in Underlaying Cellular Networks", in IEEE Communications Letters (CL), vol. 21, no. 4, pp. 865-868, April 2017.

3. B. Shang, L. Zhao, K. C. Chen and X. Chu, "Wireless-Powered Device-to-Device Assisted Offloading in Cellular Networks", in IEEE Transactions on Green Communications and Networking (TGCN), vol. 2, no. 4, pp. 1012-1026, Dec 2018.

4. B. Shang, L. Zhao, K. Chen and X. Chu, "Energy Efficient D2D-Assisted Offloading with Wireless Power Transfer," in 2017 IEEE Global Communications Conference (GLOBECOM), Singapore, 2017, pp. 1-6.

5. B. Shang, L. Zhao and K. Chen, "Enabling device-to-device communications in LTE-unlicensed spectrum", 2017 IEEE International Conference on Communications (ICC), Paris, 2017, pp. 1-6.

6. B. Shang, L. Zhao, K. Chen and G. Zhao, "Energy-Efficient Device-to-Device Communication in Cellular Networks," 2016 IEEE 83rd Vehicular Technology Conference (VTC) Spring, Nanjing, 2016, pp. 1-5.

 

Services

Teaching & Research

  1. Teaching assistant, Virginia Tech, ECE 5565 - Network Architecture and Protocols, Fall 2019.
  2. Research assistant, Virginia Tech, 2019 Spring - present.
  3. Research assistant, Xidian University, 2016 - 2018.

Activities

  1. TPC members for IEEE WCNC 2021.
  2. Session chair in the mobile and wireless networks symposium of the IEEE 2017 Global Communications Conference (GLOBECOM).
  3. Exemplary reviewer, Physical Communication, Elsevier.

Reviewer

I have served as a reviewer for the following publication venues.

Peer-reviewed Journals

  1. Journal of Communications and Information Networks
  2. IEEE Journal on Selected Areas in Communications
  3. IEEE Transactions on Wireless Communications
  4. IEEE Transactions on Communications
  5. IEEE Internet of Things Journal
  6. IEEE Transactions on Vehicular Technology
  7. IEEE Transactions on Cognitive Communications and Networking
  8. IEEE Wireless Communications Letters
  9. IEEE Communications Letters
  10. IEEE Access
  11. Physical Communication
  12. China Communications
  13. Computer Communications

Peer-reviewed Conferences

  1. IEEE INFOCOM
  2. IEEE GLOBECOM
  3. IEEE ICC
  4. IEEE VTC
  5. IEEE WCNC
  6. IEEE PIMRC

 

Graduate Courses

Wireless Communications and Networking:

Broadband Wireless Communication

Cellular Communications Systems

Communication Network Theory

Communication System Principles

Wireless Communication Theory

Machine Learning for Communications Systems

MIMO System and OFDM Transmission Techniques

 

Mathematics:

Optimization Technique

Convex Optimization

Stochastic Signals and Systems

Game Theory

Introduction to Stochastic Processes

Mathematical Foundation of Reinforcement Learning Algorithms

Matrix Theory

Numerical Analysis

 

Major Awards

First Prize of Outstanding Graduation Thesis, Xidian University, 2018.

Outstanding Graduate Student, Xidian University, 2018.

Dean's List of Outstanding Student, Xidian University, 2018.

National scholarship for Postgraduate Student, Ministry of Education, 2017.

Dean's List of Outstanding Student, Xidian University, 2017.

National scholarship for Postgraduate Student, Ministry of Education, 2016.

Dean's List of Outstanding Student, Xidian University, 2016.

Outstanding Undergraduate Diploma Thesis, Northwest University, 2015.

National Second Prize for Undergraduate Electronics Design Contest, 2013.

First Prize in Shaanxi Province for Undergraduate Electronics Design Contest, 2013.