TY - GEN
T1 - Cluster Formation and Joint Power-Bandwidth Allocation for Imperfect NOMA in DL-HetNets
AU - Celik, Abdulkadir
AU - Al-Qahtani, Fawaz
AU - Radaydeh, Redha
AU - Alouini, Mohamed-Slim
N1 - KAUST Repository Item: Exported on 2021-02-09
PY - 2018/1/15
Y1 - 2018/1/15
N2 - Non-orthogonal multiple access (NOMA) has recently drawn attentions on its ability to fairly serve multiple users on the same radio resource with a desirable performance. However, achievable NOMA gain is primarily limited by channel gain disparity and successive interference cancellation (SIC) receiver characteristics. Accordingly, we introduce an imperfect SIC receiver model considering the power disparity and sensitivity constraints, delay tolerance, and residual interference due to detection and estimation errors. Then, a generic cluster formation (CF) and Power-Bandwidth Allocation (PBA) is formulated as a mixed-integer non-linear programming (MINLP) problem for downlink (DL) heterogeneous networks (HetNets). After dividing the MINLP problem into mixed-integer and non-linear subprobems, we first transform CF into a multi-partite matching, which is solved sequentially using bi-partite matching techniques. For sumrate maximization, max-min fairness, and energy & spectrum efficiency objectives, we secondly put highly non-convex joint PBA into a convex form using geometric programming (GP). Extensive simulations unleash the potential of NOMA to handle large number of users, traffic offloading, and user fairness.
AB - Non-orthogonal multiple access (NOMA) has recently drawn attentions on its ability to fairly serve multiple users on the same radio resource with a desirable performance. However, achievable NOMA gain is primarily limited by channel gain disparity and successive interference cancellation (SIC) receiver characteristics. Accordingly, we introduce an imperfect SIC receiver model considering the power disparity and sensitivity constraints, delay tolerance, and residual interference due to detection and estimation errors. Then, a generic cluster formation (CF) and Power-Bandwidth Allocation (PBA) is formulated as a mixed-integer non-linear programming (MINLP) problem for downlink (DL) heterogeneous networks (HetNets). After dividing the MINLP problem into mixed-integer and non-linear subprobems, we first transform CF into a multi-partite matching, which is solved sequentially using bi-partite matching techniques. For sumrate maximization, max-min fairness, and energy & spectrum efficiency objectives, we secondly put highly non-convex joint PBA into a convex form using geometric programming (GP). Extensive simulations unleash the potential of NOMA to handle large number of users, traffic offloading, and user fairness.
UR - http://hdl.handle.net/10754/623243
UR - http://ieeexplore.ieee.org/document/8254637/
UR - http://www.scopus.com/inward/record.url?scp=85046362954&partnerID=8YFLogxK
U2 - 10.1109/GLOCOM.2017.8254637
DO - 10.1109/GLOCOM.2017.8254637
M3 - Conference contribution
SN - 9781509050192
SP - 1
EP - 6
BT - GLOBECOM 2017 - 2017 IEEE Global Communications Conference
PB - IEEE
ER -