Chung-Ming Huang
Current Organizations / Institutes
The organizations/institutes from the scholar's latest article
Previous Organizations / Institutes
The organizations / institutes from the scholar's other articles in the past ten years
Research Subjects
Chung-Ming Huang has a total of 122 co-authors. Here are the top co-authors by number of shared publications:
Shouzhi Xu
College of Computer and Information Technology, China Three Gorges University, Yichang, China
9 shared publicationsMeng-Shu Chiang
Far East University
8 shared publicationsDuy-Tuan Dao
National Cheng Kung University
7 shared publicationsChao-Hsien Lee
Department of Electronic Engineering, National Taipei University of Technology, Taipei, Taiwan
6 shared publicationsChia-Ching Yang
Department of Computer Science and Information Engineering, Laboratory of Multimedia Mobile Networking, National Cheng Kung University, Tainan, Taiwan, R.O.C
6 shared publicationsShih-Yang Lin
School of Transportation and Vehicle Engineering, Shandong University of Technology, Zibo, Shandong, China
6 shared publications
Latest Publications
- 23 October 2026
- Published by Springer Nature in Multimedia Systems
- Vol. 32 (10) , 663
Resource allocation for multimedia’s multicast and broadcast services (MBS) over the vehicular environment based on the novel k-means-di subgrouping mechanism
- 23 October 2026
- Published by Springer Nature in Multimedia Systems
- Vol. 32 (10) , 663
Resource allocation for multimedia’s multicast and broadcast services (MBS) over the vehicular environment based on the novel k-means-di subgrouping mechanism
- 3 February 2026
- Published by Springer Nature in Multimedia Systems
- Vol. 32 (2) , 78
A sub-grouping-based resource allocation method for layered video’s multicast broadcast service (MBS) over the 5G cellular network
- 3 February 2026
- Published by Springer Nature in Multimedia Systems
- Vol. 32 (2) , 78
A sub-grouping-based resource allocation method for layered video’s multicast broadcast service (MBS) over the 5G cellular network
- 29 October 2024
- Published by Springer Nature in Telecommunication Systems
- Vol. 87 (4) , 1111-1128
The C-V2V-assisted early small cell data offloading (E-SCDO) method using the multi-access edge computing (MEC) mechanism
- 29 October 2024
- Published by Springer Nature in Telecommunication Systems
- Vol. 87 (4) , 1111-1128
The C-V2V-assisted early small cell data offloading (E-SCDO) method using the multi-access edge computing (MEC) mechanism
- 11 April 2024
- Published by Springer Nature
- p. 274-285
Adaptive SVC-DASH Video Streaming Using the Segment-Set-Based Backward Quality’s Increment Control
- 11 April 2024
- Published by Springer Nature
- p. 274-285
Adaptive SVC-DASH Video Streaming Using the Segment-Set-Based Backward Quality’s Increment Control
- 9 February 2024
- Published by Elsevier in Computer Networks
- Vol. 242
Registered-backoff-time (RBT) based channel access with grouping control for the trigger RAW mode of IEEE 802.11ah IoT Network
- 9 February 2024
- Published by Elsevier in Computer Networks
- Vol. 242
Registered-backoff-time (RBT) based channel access with grouping control for the trigger RAW mode of IEEE 802.11ah IoT Network
- Open Access
- 28 November 2023
- Published by Institute of Electrical and Electronics Engineers (IEEE) in IEEE Access
- Vol. 11, 139345-139365
A Hypergraph Matching-Based Subchannel Allocation for Multi-Platoon’s Communications
In a platoon communication scenario, the Platoon Leader (PL) vehicle interacts with the gNodeB (gNB) to obtain some assigned radio resources and then the obtained radio resources are allocated to the PL vehicle and its Platoon Member (PM) vehicles. The high transmission delay in the platoon network affects the quality of vehicles’ connectivity. Therefore, the issues of improving radio resource’s spectral efficiency and stability of the vehicle platooning with limited radio resources need to be tackled. This work proposes the 2-STage Resource Allocation (2-STRA) method for multi-platoon communication to reduce the transmission latency of platoon vehicles, i.e., it can improve the data transmission rates of platoon vehicles for the conditions of various speeds and various numbers of subchannels. In the 1 st stage, a greedy algorithm that jointly considers subchannel allocation and power control for PL vehicles’ resource allocation is devised. In the 2 nd stage, the resource allocation for PM vehicles, which is based on the subchannels that are not allocated to PL vehicles, is resolved. A tripartite hypergraph, in which a tripartite hyperedge links (i) a cluster of PM vehicles that use the same subchannel, (ii) an individual cellular user and (iii) a subchannel, is adopted to devise the PM vehicles’ resource allocation algorithm. The simulation results show that the proposed 2-STRA method can have better performance in terms of spectral efficiency and the sum of data transmission rate comparing with the other methods.
- 28 November 2023
- Published by Institute of Electrical and Electronics Engineers (IEEE) in IEEE Access
- Vol. 11, 139345-139365
Open AccessA Hypergraph Matching-Based Subchannel Allocation for Multi-Platoon’s Communications
In a platoon communication scenario, the Platoon Leader (PL) vehicle interacts with the gNodeB (gNB) to obtain some assigned radio resources and then the obtained radio resources are allocated to the PL vehicle and its Platoon Member (PM) vehicles. The high transmission delay in the platoon network affects the quality of vehicles’ connectivity. Therefore, the issues of improving radio resource’s spectral efficiency and stability of the vehicle platooning with limited radio resources need to be tackled. This work proposes the 2-STage Resource Allocation (2-STRA) method for multi-platoon communication to reduce the transmission latency of platoon vehicles, i.e., it can improve the data transmission rates of platoon vehicles for the conditions of various speeds and various numbers of subchannels. In the 1 st stage, a greedy algorithm that jointly considers subchannel allocation and power control for PL vehicles’ resource allocation is devised. In the 2 nd stage, the resource allocation for PM vehicles, which is based on the subchannels that are not allocated to PL vehicles, is resolved. A tripartite hypergraph, in which a tripartite hyperedge links (i) a cluster of PM vehicles that use the same subchannel, (ii) an individual cellular user and (iii) a subchannel, is adopted to devise the PM vehicles’ resource allocation algorithm. The simulation results show that the proposed 2-STRA method can have better performance in terms of spectral efficiency and the sum of data transmission rate comparing with the other methods.
- Open Access
- 30 October 2023
- Published by Association for Computing Machinery (ACM)
- p. 99-106
The Lifetime-based Wireless Routing Scheduling Method for Small Cell Data Offloading
The traditional, small cell data offloading for a vehicle can be enabled when the vehicle is inside the corresponding small cell's signal range. Through utilizing the sidelink communication technique of the cellular vehicle-to-vehicle (C-V2V) and the Multi-access Edge Computing (MEC) architecture, this paper proposes a new small cell data offloading's scenario that can enable small cell data offloading when vehicles are still outside the signal range of the small cell. The proposed method is called Small Cell Offloading Before Entering into the small cell's Signal Range (SCO-BESR). Using the proposed SCO-BESR method, a vehicle X that connects with the macro cell and is not inside the signal range of small cell Z can connect with a vehicle Y inside the signal range of small cell Z using a C-V2V sidelink to have the small cell data offloading through the SCO-BESR path "X-Y-Z cell" until X enters into the signal range of small cell Z. Let each vehicle periodically report its context to the MEC server. Then, the MEC server can periodically perform the matching process between those vehicles that are inside and outside small cell's signal range to establish multiple SCO-BESR paths for multiple vehicles outside the signal range to have the SCO-BESR using the proposed greedy algorithm. The performance evaluation results shown that the proposed SCO-BESR method is better than the traditional small cell data offloading method that can only be enabled when a vehicle is inside the signal range of the corresponding small cell.
- 30 October 2023
- Published by Association for Computing Machinery (ACM)
- p. 99-106
Open AccessThe Lifetime-based Wireless Routing Scheduling Method for Small Cell Data Offloading
The traditional, small cell data offloading for a vehicle can be enabled when the vehicle is inside the corresponding small cell's signal range. Through utilizing the sidelink communication technique of the cellular vehicle-to-vehicle (C-V2V) and the Multi-access Edge Computing (MEC) architecture, this paper proposes a new small cell data offloading's scenario that can enable small cell data offloading when vehicles are still outside the signal range of the small cell. The proposed method is called Small Cell Offloading Before Entering into the small cell's Signal Range (SCO-BESR). Using the proposed SCO-BESR method, a vehicle X that connects with the macro cell and is not inside the signal range of small cell Z can connect with a vehicle Y inside the signal range of small cell Z using a C-V2V sidelink to have the small cell data offloading through the SCO-BESR path "X-Y-Z cell" until X enters into the signal range of small cell Z. Let each vehicle periodically report its context to the MEC server. Then, the MEC server can periodically perform the matching process between those vehicles that are inside and outside small cell's signal range to establish multiple SCO-BESR paths for multiple vehicles outside the signal range to have the SCO-BESR using the proposed greedy algorithm. The performance evaluation results shown that the proposed SCO-BESR method is better than the traditional small cell data offloading method that can only be enabled when a vehicle is inside the signal range of the corresponding small cell.
- 21 September 2023
- Published by Elsevier in Computer Communications
- Vol. 212, 1-20
Fuzzy-rule-decided small cell offloading for rate-adaptive SVC-DASH video streaming over the vehicle environment
- 21 September 2023
- Published by Elsevier in Computer Communications
- Vol. 212, 1-20
Fuzzy-rule-decided small cell offloading for rate-adaptive SVC-DASH video streaming over the vehicle environment