A hybrid TIM-NOMA scheme for the Broadcast Channel

Future mobile communication networks will require enhanced network efficiency and reduced system overhead. Research on Blind Interference Alignment and Topological Interference Management (TIM) has shown that optimal Degrees of Freedom can be achieved, in the absence of Channel State Information at the transmitters. Moreover, the recently emerged NonOrthogonal Multiple Access (NOMA) scheme suggests a different multiple access approach, compared to the orthogonal methods employed in 4G, resulting in high capacity gains. Our contribution is a hybrid TIM-NOMA scheme in K-user cells, where users are divided into T groups. By superimposing users in the power domain, we introduce a two-stage decoding process, managing “inter-group” interference based on the TIM principles, and “intra-group” interference based on Successful Interference Cancellation, as proposed by NOMA. We show that the hybrid scheme can improve the sum rate by at least 100% compared to Time Division Multiple Access, for high SNR values.

[1]  Robert J. Piechocki,et al.  A hybrid TIM-NOMA scheme for the SISO Broadcast Channel , 2015, 2015 IEEE International Conference on Communication Workshop (ICCW).

[2]  Pingzhi Fan,et al.  On the Performance of Non-Orthogonal Multiple Access in 5G Systems with Randomly Deployed Users , 2014, IEEE Signal Processing Letters.

[3]  Syed Ali Jafar,et al.  Topological Interference Management Through Index Coding , 2013, IEEE Transactions on Information Theory.

[4]  Syed Ali Jafar,et al.  Blind Interference Alignment , 2012, IEEE Journal of Selected Topics in Signal Processing.

[5]  Syed A. Jafar,et al.  Aiming Perfectly in the Dark-Blind Interference Alignment Through Staggered Antenna Switching , 2011, IEEE Trans. Signal Process..

[6]  Syed Ali Jafar.  Elements of Cellular Blind Interference Alignment - Aligned Frequency Reuse, Wireless Index Coding and Interference Diversity , 2012, ArXiv.

[7]  H. Vincent Poor,et al.  NOMA: An Information Theoretic Perspective , 2015, ArXiv.

[8]  Huiling Jiang,et al.  Considerations on downlink non-orthogonal multiple access (NOMA) combined with closed-loop SU-MIMO , 2014, 2014 8th International Conference on Signal Processing and Communication Systems (ICSPCS).

[9]  Anass Benjebbour,et al.  Concept and practical considerations of non-orthogonal multiple access (NOMA) for future radio access , 2013, 2013 International Symposium on Intelligent Signal Processing and Communication Systems.

[10]  H. Vincent Poor,et al.  Cooperative Non-Orthogonal Multiple Access in 5G Systems , 2015, IEEE Communications Letters.

[11]  Pingzhi Fan,et al.  Impact of User Pairing on 5G Non-Orthogonal Multiple Access , 2014, ArXiv.

[12]  Syed Ali Jafar,et al.  Interference Alignment and Degrees of Freedom of the $K$-User Interference Channel , 2008, IEEE Transactions on Information Theory.

[13]  Robert W. Heath,et al.  Advanced interference management technique: potentials and limitations , 2014, IEEE Wireless Communications.

[14]  Muhammad Imran,et al.  Non-Orthogonal Multiple Access (NOMA) for cellular future radio access , 2017 .

[15]  Hua Sun,et al.  Topological interference management with multiple antennas , 2014, 2014 IEEE International Symposium on Information Theory.