Video Packet Scheduling With Stochastic QoS for Cognitive Heterogeneous Networks

Xu, Lei; Nallanathan, Arumugam; Yang, Yuwang

doi:10.1109/tvt.2017.2657800

Cited by 10 publications

(2 citation statements)

References 34 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…1) Packet Dropping Probability: At the beginning of each time slot, a packet will be dropped if the packet exceeds the maximum packet delay. The average packet dropping probability, u m , for MT m is defined as (7) [36].…”

Section: Packet Dropping Probability and Average Packet Delaymentioning

confidence: 99%

“…In the fifth generation (5G) communication system, there exist some promising candidate technologies, e.g., heterogeneous wireless network, non-orthogonal multiple access (NOMA), and massive multiple input and multiple output (MIMO) [2]- [5]. With the advance of multi-homing technologies, each MT is able to connect to available wireless networks via different radio interfaces, and the data stream for each MT is split into multiple sub-streams, which are transmitted simultaneously over different types of wireless networks [6], [7].…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Security-Aware Cross-Layer Resource Allocation for Heterogeneous Wireless Networks

Xing

Nallanathan

et al. 2019

IEEE Trans. Commun.

Self Cite

View full text Add to dashboard Cite

In this paper, a security-aware energy-efficient resource allocation is modeled as a fractional programming problem for heterogeneous multi-homing networks. The security-aware resource allocation is formulated as a secrecy energy efficiency maximization problem subject to the average packet delay, the average packet dropping probability, and the total available power consumption. In order to guarantee the packet-level quality of service (QoS), first, the average packet delay and the average packet dropping probability requirement for each mobile terminal at the link layer are transformed into a minimum secrecy rate constraint at the physical layer. Then, the non-convex secrecy energy efficiency maximization problem is approximated by a convex problem through epigraph representation. A security-aware energy-efficient resource allocation algorithm is then proposed leveraging dual-decomposition method and bi-section search method. Finally, a heuristic security-aware resource allocation algorithm is proposed to serve as a benchmark. Simulation results demonstrate that the proposed security-aware energy-efficient resource allocation algorithm not only improves the secrecy energy efficiency and throughput, but also guarantees the packet-level QoS.

show abstract

Section: Packet Dropping Probability and Average Packet Delaymentioning

confidence: 99%