Heterogeneous Statistical QoS Provisioning Over Airborne Mobile Wireless Networks
Abstract
Airborne mobile wireless networks (AMWNs), which use spacecrafts and aircrafts such as satellites, airships, airplanes, unmanned aerial vehicles, and other high/medium/low-altitude platforms (HAPs/MAPs/LAPs) can efficiently support high dynamic network topologies and weakly connected communication links. Due to the dramatic dynamics of the AMWNs, it is very difficult to provide the deterministic delay-bounded quality of service (QoS) provisioning for time-sensitive real-time traffics (such as video and audio) over the AMWNs. Alternatively, the statistical delay-bounded QoS provisioning provides an efficient way for guaranteeing delay-bounded QoS requirements for real-time traffics over the AMWNs. On the other hand, because of the diversity of real-time traffics, it is highly demanded to consider the heterogeneity of delay-bounded QoS requirements for distinct real-time services under different HAPs/MAPs/LAPs in the AMWNs. In this paper, we establish the heterogeneous statistical QoS provisioning framework to support the diverse real-time services over the AMWNs. In particular, we formulate the optimization problem to maximize the aggregate effective capacity subject to heterogeneous statistical delay-bounded QoS requirements for both downlink and uplink transmissions-based AMWNs groups (AMWNGs) in the AMWNs. We solve the aggregate effective capacity maximization problems and derive the optimal heterogeneous statistical QoS-driven power allocation schemes for the AMWNs. The numerical analyses we obtained verify that our developed optimal heterogeneous statistical QoS-driven power allocation schemes can significantly increase the aggregate effective capacity for the AMWNs than the other existing schemes.
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Satellite communications enable communication services on board with acceptable service quality, but are too costly, especially in aircraft cabins.
“Satellite communications enable communication services on board with acceptable service quality, but are too costly, especially in aircraft cabins [39].”
From What should 6G be? (2020) · cites this paper as [39]
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- Authors
- Zhang, X., Cheng, W., & Zhang, H.
- Affiliations
- Texas A&M University (US)
- Xidian University (CN)
- Venue
- IEEE Journal on Selected Areas in Communications
- Published
- 2018-09
- Volume
- 36
- Issue
- 9
- Pages
- 2139-2152
- ISSN
- 0733-8716 (ISSN-L)
- 1558-0008
- OpenAlex
- W2886506682
- Cited by
- 59
- References
- 29
- Citations by year
- 2026: 1 · 2025: 5 · 2024: 5 · 2023: 6 · 2022: 10 · 2021: 11 · 2020: 11 · 2019: 6 · 2018: 4
- FWCI
- 6.51
- Type
- journal article
- Language
- en
- Open access
- closed
- Licence
- Locations
- IEEE Journal on Selected Areas in Communications (publishedVersion)
- Funders
- National Science Foundation (ECCS-1408601, CNS-1205726)
- U.S. Air Force (FA9453-15-C-0423 The work of W, H)
- National Natural Science Foundation of China (61771368)
- 111 Project of China (B08038)
- Young Elite Scientists Sponsorship Program by CAST (2016QNRC001)
- Topics
- Physical Sciences › Engineering › Aerospace Engineering › Satellite Communication Systems
- Physical Sciences › Engineering › Electrical and Electronic Engineering › Advanced Wireless Network Optimization
- Physical Sciences › Engineering › Aerospace Engineering › UAV Applications and Optimization
- Keywords
- statistical quality of service, power allocation, real-time traffic, unmanned aerial vehicles, airships, low-altitude platforms, uplink and downlink transmission, time-sensitive services
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