TY - GEN
T1 - Constructive Multi-User Interference for Symbol-Level Link Adaptation
T2 - 2017 IEEE Global Telecommunications Conference, GC 2017
AU - Choi, Yong I.
AU - Lee, Jae W.
AU - Kang, Chung G.
AU - Rim, Minjoong
N1 - Funding Information:
This work was supported by Institute for Information & communications Technology Promotion (IITP) grant funded by the Korea government (MSIT) (No. 2014-0-00282, Development of 5G Mobile Communication Technologies for Hyper-connected smart services)
Publisher Copyright:
© 2017 IEEE.
PY - 2018/1/24
Y1 - 2018/1/24
N2 - Unlike the general concept of eliminating or avoiding inter-user interference in the multi-user downlink multiple-input single-output (MISO) system, the data-aided precoding scheme attempts to exploit the constructive interference at symbol level among the multiple users. A positive interference can be constructed to enhance the received signal gain by predicting the phase and magnitude of inter-user interference. Thus, we propose constructive interference optimization that maximizes the signal-to-interference and noise ratio (SINR) of users by predicting the constructive interference. Towards this end, we formulate a minimum mean square error (MMSE) problem, which is relaxed over the constructive interference region with the minimum required cumulative constrictive interference gain (CCIG) under a total power constraint. We then derive the optimal transmit signal vector as a function of Lagrange multipliers obtained by Karush-Kuhn-Tucker (KKT) conditions. Our numerical results demonstrate that the proposed data-aided precoding scheme provides more CCIG than other state-of-the-art schemes, which turns out to be useful under a mm-wave band channel with few multi-paths or non-homogeneous environment.
AB - Unlike the general concept of eliminating or avoiding inter-user interference in the multi-user downlink multiple-input single-output (MISO) system, the data-aided precoding scheme attempts to exploit the constructive interference at symbol level among the multiple users. A positive interference can be constructed to enhance the received signal gain by predicting the phase and magnitude of inter-user interference. Thus, we propose constructive interference optimization that maximizes the signal-to-interference and noise ratio (SINR) of users by predicting the constructive interference. Towards this end, we formulate a minimum mean square error (MMSE) problem, which is relaxed over the constructive interference region with the minimum required cumulative constrictive interference gain (CCIG) under a total power constraint. We then derive the optimal transmit signal vector as a function of Lagrange multipliers obtained by Karush-Kuhn-Tucker (KKT) conditions. Our numerical results demonstrate that the proposed data-aided precoding scheme provides more CCIG than other state-of-the-art schemes, which turns out to be useful under a mm-wave band channel with few multi-paths or non-homogeneous environment.
UR - http://www.scopus.com/inward/record.url?scp=85050473027&partnerID=8YFLogxK
U2 - 10.1109/GLOCOMW.2017.8269178
DO - 10.1109/GLOCOMW.2017.8269178
M3 - Conference contribution
AN - SCOPUS:85050473027
T3 - 2017 IEEE Globecom Workshops, GC Wkshps 2017 - Proceedings
SP - 1
EP - 6
BT - 2017 IEEE Globecom Workshops, GC Wkshps 2017 - Proceedings
PB - Institute of Electrical and Electronics Engineers Inc.
Y2 - 4 December 2017 through 8 December 2017
ER -