TY - JOUR
T1 - Downlink Power Allocation for CoMP-NOMA in Multi-Cell Networks
AU - Ali, Md Shipon
AU - Hossain, Ekram
AU - Al-Dweik, Arafat
AU - Kim, Dong In
N1 - Funding Information:
Manuscript received December 10, 2017; revised March 9, 2018; accepted April 22, 2018. Date of publication April 30, 2018; date of current version September 14, 2018. The work was supported in part by the Natural Sciences and Engineering Research Council of Canada (NSERC) and in part by the National Research Foundation of Korea (NRF) Grant funded by the Korean Government under Grants 2014R1A5A1011478 and 2017R1A2B2003953. The work of A. Al-Dweik was supported by ICT Fund Grant# 11/15/TRAICT-Fund/KU. The associate editor coordinating the review of this paper and approving it for publication was W. Chen. (Corresponding author: Ekram Hossain.) M. S. Ali and E. Hossain are with the Department of Electrical and Computer Engineering, University of Manitoba, Winnipeg, MB R3T 5V6, Canada (e-mail: [email protected]; [email protected]).
Publisher Copyright:
© 1972-2012 IEEE.
PY - 2018/9
Y1 - 2018/9
N2 - This paper considers the problem of dynamic power allocation in the downlink of multi-cell networks, where each cell utilizes non-orthogonal multiple access (NOMA)-based resource allocation. Also, coordinated multi-point (CoMP) transmission is utilized among multiple cells to serve users experiencing severe inter-cell interference (ICI). Under this CoMP- NOMA framework, CoMP transmission is applied to a user experiencing less distinctive channel gain with multiple base stations (BSs)/cells (i.e., severe ICI-prone user) and non-CoMP transmission (i.e., transmission without any coordination among multiple BSs) is applied to a user experiencing dominating channel gain with only one BS/cell, while NOMA is utilized at each BS to schedule CoMP and non-CoMP users over the same transmission resources, i.e., time, spectrum and space. After discussing various CoMP- NOMA models for downlink power allocation in multi-cell networks, we focus on a joint transmission CoMP- NOMA (JT-CoMP-NOMA) model. For the JT-CoMP-NOMA model, an optimal joint power allocation problem is formulated and the solution is derived for each CoMP- set consisting of multiple cooperating BSs (i.e., CoMP BSs). To avoid the huge computational complexity of the joint power optimization approach, we propose a distributed power optimization approach at each cooperating BS whose optimal solution is independent of the solution of other coordinating BSs. The distributed solution for the joint power optimization problem is validated and numerical performance evaluation is carried out for the proposed CoMP- NOMA models including JT-CoMP-NOMA and coordinated scheduling CoMP- NOMA (CS-CoMP-NOMA). The obtained results reveal significant gains in spectral and energy efficiency in comparison with conventional CoMP- orthogonal multiple access (CoMP-OMA) systems.
AB - This paper considers the problem of dynamic power allocation in the downlink of multi-cell networks, where each cell utilizes non-orthogonal multiple access (NOMA)-based resource allocation. Also, coordinated multi-point (CoMP) transmission is utilized among multiple cells to serve users experiencing severe inter-cell interference (ICI). Under this CoMP- NOMA framework, CoMP transmission is applied to a user experiencing less distinctive channel gain with multiple base stations (BSs)/cells (i.e., severe ICI-prone user) and non-CoMP transmission (i.e., transmission without any coordination among multiple BSs) is applied to a user experiencing dominating channel gain with only one BS/cell, while NOMA is utilized at each BS to schedule CoMP and non-CoMP users over the same transmission resources, i.e., time, spectrum and space. After discussing various CoMP- NOMA models for downlink power allocation in multi-cell networks, we focus on a joint transmission CoMP- NOMA (JT-CoMP-NOMA) model. For the JT-CoMP-NOMA model, an optimal joint power allocation problem is formulated and the solution is derived for each CoMP- set consisting of multiple cooperating BSs (i.e., CoMP BSs). To avoid the huge computational complexity of the joint power optimization approach, we propose a distributed power optimization approach at each cooperating BS whose optimal solution is independent of the solution of other coordinating BSs. The distributed solution for the joint power optimization problem is validated and numerical performance evaluation is carried out for the proposed CoMP- NOMA models including JT-CoMP-NOMA and coordinated scheduling CoMP- NOMA (CS-CoMP-NOMA). The obtained results reveal significant gains in spectral and energy efficiency in comparison with conventional CoMP- orthogonal multiple access (CoMP-OMA) systems.
KW - coordinated multi-point (CoMP) transmission
KW - dynamic power allocation
KW - energy efficiency
KW - heterogeneous networks (HetNets)
KW - multi-cell downlink transmission
KW - Non-orthogonal multiple access (NOMA)
KW - spectral efficiency
UR - https://www.scopus.com/pages/publications/85046338604
U2 - 10.1109/TCOMM.2018.2831206
DO - 10.1109/TCOMM.2018.2831206
M3 - Article
AN - SCOPUS:85046338604
SN - 0090-6778
VL - 66
SP - 3982
EP - 3998
JO - IEEE Transactions on Communications
JF - IEEE Transactions on Communications
IS - 9
M1 - 8352643
ER -