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

• Published in: IEEE transactions on communications Vol. 67; no. 2; pp. 1388 - 1399
• Main Authors: Lei Xu, Hong Xing, Nallanathan, Arumugam, Yuwang Yang, Tianyou Chai
• Format: Journal Article
• Language: English
• Published: New York IEEE 01.02.2019; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Algorithms; Computer simulation; cross-layer resource allocation; Delay; Delays; dual decomposition; Energy efficiency; Heterogeneous networks; Heuristic algorithms; Heuristic methods; Homing; Mathematical programming; Maximization; packet delay; packet dropping probability; Power consumption; Power demand; Power efficiency; Quality of service; Resource allocation; Resource management; Secrecy aspects; Security; Wireless networks
• ISSN: 0090-6778; 1558-0857
• DOI: 10.1109/TCOMM.2018.2878767

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.