PMID- 33233505
OWN - NLM
STAT- PubMed-not-MEDLINE
LR  - 20201201
IS  - 1424-8220 (Electronic)
IS  - 1424-8220 (Linking)
VI  - 20
IP  - 22
DP  - 2020 Nov 20
TI  - Energy Efficiency Maximization for Multi-Cell Multi-Carrier NOMA Networks.
LID - 10.3390/s20226642 [doi]
LID - 6642
AB  - As energy efficiency (EE) is a key performance indicator for the future wireless 
      network, it has become a significant research field in communication networks. In 
      this paper, we consider multi-cell multi-carrier non-orthogonal multiple access 
      (MCMC-NOMA) networks and investigate the EE maximization problem. As the EE 
      maximization is a mixed-integer nonlinear programming NP-hard problem, it is 
      difficult to solve directly by traditional optimization such as convex 
      optimization. To handle the EE maximization problem, we decouple it into two 
      subproblems. The first subproblem is user association, where we design a 
      matching-based framework to perform the user association and the subcarriers' 
      assignment. The second subproblem is the power allocation problem for each user 
      to maximize the EE of the systems. Since the EE maximization problem is still 
      non-convex with respect to the power domain, we propose a two stage quadratic 
      transform with both a single ratio quadratic and multidimensional quadratic 
      transform to convert it into an equivalent convex optimization problem. The power 
      allocation is obtained by iteratively solving the convex problem. Finally, the 
      numerical results demonstrate that the proposed method could achieve better EE 
      compared to existing approaches for non-orthogonal multiple access (NOMA) and 
      considerably outperforms the fractional transmit power control (FTPC) scheme for 
      orthogonal multiple access (OMA).
FAU - Adam, Abuzar B M
AU  - Adam ABM
AUID- ORCID: 0000-0002-9231-9734
AD  - School of Communication and Information Engineering, Chongqing University of 
      Posts and Telecommunications, Chongqing 400065, China.
FAU - Wan, Xiaoyu
AU  - Wan X
AD  - School of Communication and Information Engineering, Chongqing University of 
      Posts and Telecommunications, Chongqing 400065, China.
FAU - Wang, Zhengqiang
AU  - Wang Z
AUID- ORCID: 0000-0002-8114-3024
AD  - School of Communication and Information Engineering, Chongqing University of 
      Posts and Telecommunications, Chongqing 400065, China.
LA  - eng
GR  - No.61701064/National Science Foundation of P. R. China/
PT  - Journal Article
DEP - 20201120
PL  - Switzerland
TA  - Sensors (Basel)
JT  - Sensors (Basel, Switzerland)
JID - 101204366
SB  - IM
PMC - PMC7699556
OTO - NOTNLM
OT  - energy efficiency
OT  - fractional programming
OT  - non-orthogonal multiple access
OT  - quadratic transform
OT  - user association
COIS- The authors declare no conflict of interest.
EDAT- 2020/11/26 06:00
MHDA- 2020/11/26 06:01
PMCR- 2020/11/01
CRDT- 2020/11/25 01:03
PHST- 2020/10/10 00:00 [received]
PHST- 2020/11/04 00:00 [revised]
PHST- 2020/11/17 00:00 [accepted]
PHST- 2020/11/25 01:03 [entrez]
PHST- 2020/11/26 06:00 [pubmed]
PHST- 2020/11/26 06:01 [medline]
PHST- 2020/11/01 00:00 [pmc-release]
AID - s20226642 [pii]
AID - sensors-20-06642 [pii]
AID - 10.3390/s20226642 [doi]
PST - epublish
SO  - Sensors (Basel). 2020 Nov 20;20(22):6642. doi: 10.3390/s20226642.