We consider in-band full-duplex (FD) vehicular access networks in which a FD vehicular access point (AP) with high mobility simultaneously supports half-duplex (HD) downlink and uplink users with low mobility. We assume no self-interference due to FD operation at the AP and no channel state information known at the transmit side (no channel state information at the transmitter side). We completely characterize the sum degrees of freedom (DoF) by proposing an optimal blind interference alignment scheme, which exploits the difference of channel's temporal correlations between the AP and users, and establishing the matching upper bound on the sum DoF. Performance evaluation shows that the proposed scheme improves the sum rate at the finite signal-to-noise ratio regime compared to the conventional HD system.
|Number of pages||5|
|Journal||IEEE Transactions on Vehicular Technology|
|Publication status||Published - 2018 Feb|
Bibliographical noteFunding Information:
Manuscript received March 3, 2017; revised July 26, 2017; accepted September 15, 2017. Date of publication October 2, 2017; date of current version February 12, 2018. The work of M. Yang and D. K. Kim was supported by Institute for Information & communications Technology Promotion grant funded by the Korea government(MSIT) (2015-0-00300, Multiple Access Technique with Ultra-Low Latency and High Efficiency for Tactile Internet Services in IoT Environments). The work of S.-W. Jeon was supported by the Basic Science Research Program through the National Research Foundation of Korea, Ministry of Education, Science and Technology, under Grant NRF-2017R1A2B4012719. The review of this paper was coordinated by Dr. D. Marabissi. (Corresponding author: Dong Ku Kim.) M. Yang and D. K. Kim are with the School of Electrical and Electronic Engineering, Yonsei University, Seoul 03722, South Korea (e-mail: navigations@ yonsei.ac.kr; firstname.lastname@example.org).
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All Science Journal Classification (ASJC) codes
- Automotive Engineering
- Aerospace Engineering
- Electrical and Electronic Engineering
- Applied Mathematics