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

Subject: Electrical and Electronic Engineering

Subject Ranking: World Rank #24, 2021 Global Ranking of Academic Subjects - Electrical & Electronic Engineering

 

 

M.S. degree, 2018

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

School of Telecommunications Engineering

Subject: Communication and Information System

Subject Ranking: World Rank #1, 2021 Global Ranking of Academic Subjects - Telecommunication Engineering

 

 

B.Eng. degree, 2015

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

School of Information Science and Technology

Subject: Communication Engineering

 

 

Publications

Journal Papers:

[J22] B. Shang, R. Shafin, and L. Liu, "UAV Swarm Enabled Aerial Reconfigurable Intelligent Surface (SARIS)", accepted to appear in IEEE Wireless Communications (WCM), 2021.

 

[J21] B. Shang, Y. Yi, and L. Liu, "Computing over Space-Air-Ground Integrated Networks: Challenges and Opportunities", accepted to appear in IEEE Network (NETWORK), 2021.

 

[J20] B. Shang, L. Liu, and Z. Tian, "Deep Learning-Assisted Energy-Efficient Task Offloading in Vehicular Edge Computing Systems", accepted to appear in IEEE Transactions on Vehicular Technology (TVT), 2021.

 

[J19] B. Shang, L. Liu, H. Song, B. Xu, S. Pudlewski, and E. Bentley, "Trade-offs in Reliability, Latency, and Energy for Random Network Coding-Enabled Networks", accepted to appear in IEEE Communications Letters (CL), 2021.

 

[J18] M. Liu, N. Qu, B. Shang, Y. Chen, and F. Gong, "Energy and Spectrum Efficient Blind Equalization with Unknown Constellation for Air-to-Ground Multipath UAV Communications", accepted to appear in IEEE Transactions on Green Communications and Networking (TGCN), 2021.

 

[J17] J. Ma, B. Shang, L. Liu, C. Zhang, and P. Fan, "Cooperative Caching in HetNets with Mutual Information Accumulation", accepted to appear in IEEE Networking Letters (NL), 2021.

 

[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), vol. 8, no. 4, pp. 2342-2353, 15 Feb.15, 2021.

 

[J15] C. Wang, M. Liu, Q. Chen, B. Shang, and 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, and 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, and 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:

[C11] M. Liu, L. Jin, and B. Shang, "LSTM-Based Jamming Detection for Satellite Communication with Alpha-Stable Noise", in 2021 IEEE Wireless Communications and Networking Conference Workshops (WCNCW), 2021, pp. 1-5.

[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", in Workshop on Edge Computing and Communications (EdgeComm) of 2020 IEEE/ACM Symposium on Edge Computing (SEC), San Jose, CA, USA, 2020, pp. 440-444.

[C8] A. Abdalla, B. Shang, V. Marojevic, and L. Liu, "Performance Evaluation of Aerial Relaying Systemsfor Improving Secrecy in Cellular Networks", 2020 IEEE 92nd Vehicular Technology Conference (VTC2020-Fall), Victoria, BC, Canada, 2020, 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. C. 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. C. 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. C. 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. C. 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. C. 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:

As unmanned aerial vehicles (UAVs) become more available in wireless networks, 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-to-everything (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. In [1], we investigated the spectrum sharing for UAV communications. In [2], we studied the physical layer security with unmanned aerial systems. In [3], we designed a resource allocation algorithm for UAV-enabled mobile edge computing (MEC). In [4], we analyzed and optimized the spectrum sharing between UAV and device-to-device (D2D) hybrid networks.

 

 

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 (COMMAG), vol. 57, no. 10, pp. 98-103, Oct 2019.

3. 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.

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. Bentley, “Trade-offs in Reliability, Latency, and Energy for Random Network Coding-Enabled Networks”, accepted to appear in IEEE Communications Letters (CL), 2021.

6. B. Shang, R. Shafin, and L. Liu, "UAV Swarm Enabled Aerial Reconfigurable Intelligent Surface (SARIS)", accepted to appear in IEEE Wireless Communications (WCM), 2021.

 

 

 

b) Edge Computing:

Mobile edge computing (MEC) allows mobile user equipment (UE) to offload computation tasks onto network edges such as cellular base stations, rather than computing locally, to reduce the computation latency and mobile device's energy consumption. Unlike popular 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. In [1], we developed an energy-efficient joint communication and computation 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 UAVs' 3D placement, under the constraints of binary offloading, UEs' latency, computation capacity, UAV energy consumption, and available bandwidth. In [2], we studied an algorithm for energy-efficient resource allocation in the vehicular edge computing system, where multiple roadside units assisted users in offloading 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, "Deep Learning-Assisted Energy-Efficient Task Offloading in Vehicular Edge Computing Systems", accepted to appear in IEEE Transactions on Vehicular Technology (TVT), 2021.

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", in Workshop on Edge Computing and Communications (EdgeComm) of 2020 IEEE/ACM Symposium on Edge Computing (SEC), San Jose, CA, USA, 2020, pp. 440-444.

4. B. Shang, Y. Yi, and L. Liu, "Computing over Space-Air-Ground Integrated Networks: Challenges and Opportunities",accepted to appear in IEEE Network (NETWORK), 2021.

 

 

 

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. By reusing the licensed spectrum, proximate mobile devices can communicate directly without needing the data transmissions to go through network infrastructures, improving 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. The interference generated from secondary users (SUs) to cellular networks can be managed to guarantee the Quality-of-Service (QoS) of cellular communications. In [1] and [2], the SSS-based SUs in uplink two-tier user-centric deployed HetNets were investigated. In [3], we developed a machine learning-based approach to characterize the aggregated received power distributions at a SU during SSS.

UAVs attract 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], we investigated the spectrum sharing for UAV communications. The optimal SSS radius for UAVs was obtained to maximize the ASE of UAV networks while guaranteeing the ASE 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”, in IEEE Transactions on Wireless Communications (TWC), vol. 19, no. 12, pp. 7957-7972, Dec. 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, and 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 explosive increase of mobile devices, cellular networks face 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. Device-to-device (D2D) communications have been proposed to improve network capacity and alleviate the traffic burden on cellular networks by exploiting mobile devices' physical proximity. In the meantime, content sharing among multiple devices, e.g., video streaming, has been regarded as one of the most promising traffic offloading methods and a 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], we investigated the economic aspect of D2D-assisted offloading. In [3] and [4], we studied the wireless power transfer-enabled D2D-assisted offloading in cellular networks. Moreover, LTE-Unlicensed (LTE-U) is considered a groundbreaking technology to address the increasing scarcity of available spectrum by extending cellular communications to unlicensed bands. In [5], we analyzed the performance of the LTE-U-enabled direct link communications. In [6], we evaluated the energy efficiency of the integrated D2D and cellular networks.

 

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

Activities

  1. TPC members for EAI AICON 2021.
  2. TPC members for IEEE WCNC 2021, 2022.
  3. Session chair in the mobile and wireless networks symposium of the IEEE 2017 Global Communications Conference (GLOBECOM).
  4. 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

Spectrum Sharing 5G & IoT

 

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.