TY - GEN
T1 - Locally Cooperative Interference Mitigation for Small Cell Networks with Non-Orthogonal Multiple Access
T2 - 2018 IEEE International Conference on Communications, ICC 2018
AU - Wang, Xianling
AU - Zhang, Haijun
AU - Tian, Yue
AU - Ding, Zhiguo
AU - Leung, Victor C.M.
N1 - Funding Information:
ACKNOWLEDGMENT This work is supported by the National Natural Science Foundation of China (61471025, 61771044, 61370191, 61701422), the Natural Science Foundation of Fujian Province, China (2016J01323, 2017J01785), the Young Elite Scientist Sponsorship Program by CAST (2016QNRC001), the Research Foundation of Ministry of Education of China & China Mobile (MCM20170108), Beijing Natural Science Foundation (L172025), and the Fundamental Research Funds for the Central Universities (FRF-GF-17-A6, RC1631). The corresponding author is Haijun Zhang.
Publisher Copyright:
© 2018 IEEE.
PY - 2018/7/27
Y1 - 2018/7/27
N2 - In this paper, we investigate distributed subchannel allocation problem in small cell network (SCN) with non-orthogonal multiple access (NOMA) enhancement. Different from existing studies, we exploit NOMA for the purpose of mitigating aggregate inter-cell and intra-cell interference. The problem is analyzed through a locally cooperative game model, in which information is exchanged only among neighboring small cell base stations (SBSs) instead of all SBSs in the SCN. The existence of Nash equilibrium (NE) is confirmed by proving the formulated game as an exact potential game, which allows the application of best response algorithm to solve the problem locally or globally. It is shown that the aggregate interference can be more efficiently suppressed in the NOMA system, compared with traditional orthogonal multiple access (OMA) system. Furthermore, as the network grows denser, higher percentage of SBSs have the incentive to multiplex users via the NOMA technique, revealing the superiority of NOMA over OMA in future ultra dense network.
AB - In this paper, we investigate distributed subchannel allocation problem in small cell network (SCN) with non-orthogonal multiple access (NOMA) enhancement. Different from existing studies, we exploit NOMA for the purpose of mitigating aggregate inter-cell and intra-cell interference. The problem is analyzed through a locally cooperative game model, in which information is exchanged only among neighboring small cell base stations (SBSs) instead of all SBSs in the SCN. The existence of Nash equilibrium (NE) is confirmed by proving the formulated game as an exact potential game, which allows the application of best response algorithm to solve the problem locally or globally. It is shown that the aggregate interference can be more efficiently suppressed in the NOMA system, compared with traditional orthogonal multiple access (OMA) system. Furthermore, as the network grows denser, higher percentage of SBSs have the incentive to multiplex users via the NOMA technique, revealing the superiority of NOMA over OMA in future ultra dense network.
UR - https://www.scopus.com/pages/publications/85051413384
U2 - 10.1109/ICC.2018.8422825
DO - 10.1109/ICC.2018.8422825
M3 - Conference contribution
AN - SCOPUS:85051413384
SN - 9781538631805
T3 - IEEE International Conference on Communications
BT - 2018 IEEE International Conference on Communications, ICC 2018 - Proceedings
PB - Institute of Electrical and Electronics Engineers Inc.
Y2 - 20 May 2018 through 24 May 2018
ER -