eprintid: 3250 rev_number: 7 eprint_status: archive userid: 328 dir: disk0/00/00/32/50 datestamp: 2018-12-13 07:49:45 lastmod: 2018-12-19 05:08:47 status_changed: 2018-12-13 07:49:45 type: article metadata_visibility: show creators_name: Vu, Xuan Thang creators_name: Trinh, Anh Vu creators_name: Chatzinotas, Symeon creators_name: Ottersten, Björn creators_id: thang.vu85@gmail.com creators_id: vuta@vnu.edu.vn creators_id: Chatzinotas@gmail.com creators_id: Ottersten@gmail.com title: Cache-aided Full Duplex: Delivery Time Analysis and Optimization ispublished: submitted subjects: Communications subjects: ECE divisions: fac_fet 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 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 nonconvexity of the formulated problem, we propose an iterative optimization algorithm by using the bisection method. Finally, numerical results are presented to demonstrate the effectiveness of the proposed algorithm. date: 2018 date_type: submitted publisher: IEEE full_text_status: none publication: IEEE Wireless Communication Letters refereed: FALSE issn: ‎2162-2337 citation: Vu, Xuan Thang and Trinh, Anh Vu and Chatzinotas, Symeon and Ottersten, Björn (2018) Cache-aided Full Duplex: Delivery Time Analysis and Optimization. IEEE Wireless Communication Letters . ISSN ‎2162-2337 (Submitted)