We consider a mixed numerology spectrum sharing (SS) system where the users have different subcarrier spacing (SCS). Unlike in single numerology SS systems, mixed numerology SS systems suffer from inter-numerology interference (INI). We first derive the interference pattern and find that the variance of interference energy increases due to the difference in SCS. This increase in variance negatively affects decoding performance, since the interference energy is unbalanced between subcarriers. However, previous works on this issue did not take this interference pattern into account for interference management. In order to suppress the increase in variance of the interference energy, we propose a transceiver structure for large SCS users by using simple cyclic shift and frequency shift operations. The proposed transceiver disperses the effect of INI, reducing the variance in the interference energy. From the derived distribution characteristics of the interference energy in closed-form expressions, we show that the proposed transceiver achieves better decoding performance.
Bibliographical noteFunding Information:
Manuscript received July 20, 2018; revised November 28, 2018, March 6, 2019, and March 13, 2019; accepted March 13, 2019. Date of publication April 1, 2019; date of current version May 8, 2019. This work was supported in part by the National Research Foundation of Korea (NRF) grant funded by the Korean Government (MSIT) under Grant 2018R1A2A1A05021029, in part by the Institute for Information and communications Technology Promotion (IITP) grant funded by the Korean Government (MSIP) (Development on the core technologies of transmission, modulation and coding with low-power and low-complexity for massive connectivity in the IoT environment) under Grant 2016-0-00181, and in part by the Samsung Research in Samsung Electronics Co., Ltd. The associate editor coordinating the review of this paper and approving it for publication was W. Zhang. (Corresponding author: Daesik Hong.) J. Choi, B. Kim, and D. Hong are with the School of Electrical and Electronic Engineering, Yonsei University, Seoul 120-749, South Korea (e-mail: email@example.com; firstname.lastname@example.org; email@example.com).
© 2019 IEEE.
All Science Journal Classification (ASJC) codes
- Computer Science Applications
- Electrical and Electronic Engineering
- Applied Mathematics