LE QUY DON
Technical University
VietnameseClear Cookie - decide language by browser settings

Cache-aided full-duplex: delivery time analysis and optimization

Vu, T.X. and Trinh, A.V. and Chatzinotas, S. and Tran, X.N. (2020) Cache-aided full-duplex: delivery time analysis and optimization. Wireless Networks, 26 (6). pp. 4403-4410. ISSN 10220038

Full text not available from this repository. (Upload)

Abstract

Edge caching has received much attention as a promising technique to overcome the stringent latency and data-hungry challenges in the future generation wireless networks. Meanwhile, full-duplex (FD) transmission can potentially double the spectral efficiency by allowing a node to receive and transmit at the same frequency band simultaneously. In this paper, we investigate the delivery time performance of a cache-aided FD system, in which an edge node, operates in FD mode, serves users via wireless channels and is equipped with a cache memory. Firstly, we derive a closed-form expression for the average delivery time by taking into account the uncertainties of both backhaul and access wireless channels. The derived analysis allows the examination of the impact of key parameters, e.g., cache size and transmit power. Secondly, a power optimization problem is formulated to minimize the average delivery time. To deal with the non-convexity of the formulated problem, we propose an iterative optimization algorithm based on the bisection method. Finally, numerical results are presented to demonstrate the effectiveness of the proposed algorithm. A significant delivery time reduction is achieved by the proposed optimization compared to the FD reference and half-duplex counterpart. © 2020, Springer Science+Business Media, LLC, part of Springer Nature.

Item Type: Article
Divisions: Faculties > Faculty of Radio-Electronic Engineering
Identification Number: 10.1007/s11276-020-02334-y
Uncontrolled Keywords: Cache memory; Finite difference method; Optimization; Bisection method; Closed-form expression; Formulated problems; Future generations; Iterative optimization algorithms; Numerical results; Power Optimization; Spectral efficiencies; Iterative methods
Additional Information: Language of original document: English. All Open Access, Green.
URI: http://eprints.lqdtu.edu.vn/id/eprint/8970

Actions (login required)

View Item
View Item