PMID- 28927019
OWN - NLM
STAT- PubMed-not-MEDLINE
DCOM- 20180226
LR  - 20181113
IS  - 1424-8220 (Electronic)
IS  - 1424-8220 (Linking)
VI  - 17
IP  - 9
DP  - 2017 Sep 18
TI  - Worst-Case Energy Efficiency Maximization in a 5G Massive MIMO-NOMA System.
LID - 10.3390/s17092139 [doi]
LID - 2139
AB  - In this paper, we examine the robust beamforming design to tackle the energy 
      efficiency (EE) maximization problem in a 5G massive multiple-input 
      multiple-output (MIMO)-non-orthogonal multiple access (NOMA) downlink system with 
      imperfect channel state information (CSI) at the base station. A novel joint user 
      pairing and dynamic power allocation (JUPDPA) algorithm is proposed to minimize 
      the inter user interference and also to enhance the fairness between the users. 
      This work assumes imperfect CSI by adding uncertainties to channel matrices with 
      worst-case model, i.e., ellipsoidal uncertainty model (EUM). A fractional 
      non-convex optimization problem is formulated to maximize the EE subject to the 
      transmit power constraints and the minimum rate requirement for the cell edge 
      user. The designed problem is difficult to solve due to its nonlinear fractional 
      objective function. We firstly employ the properties of fractional programming to 
      transform the non-convex problem into its equivalent parametric form. Then, an 
      efficient iterative algorithm is proposed established on the constrained 
      concave-convex procedure (CCCP) that solves and achieves convergence to a 
      stationary point of the above problem. Finally, Dinkelbach's algorithm is 
      employed to determine the maximum energy efficiency. Comprehensive numerical 
      results illustrate that the proposed scheme attains higher worst-case energy 
      efficiency as compared with the existing NOMA schemes and the conventional 
      orthogonal multiple access (OMA) scheme.
FAU - Chinnadurai, Sunil
AU  - Chinnadurai S
AUID- ORCID: 0000-0001-5100-1343
AD  - Department of Electronics and Information Engineering, Chonbuk National 
      University, Jeonju 54896, Korea. sunilkcsss@jbnu.ac.kr.
FAU - Selvaprabhu, Poongundran
AU  - Selvaprabhu P
AUID- ORCID: 0000-0002-5288-9820
AD  - Department of Electronics and Information Engineering, Chonbuk National 
      University, Jeonju 54896, Korea. poongundran@jbnu.ac.kr.
FAU - Jeong, Yongchae
AU  - Jeong Y
AD  - Department of Electronics and Information Engineering, Chonbuk National 
      University, Jeonju 54896, Korea. ycjeong@jbnu.ac.kr.
FAU - Jiang, Xueqin
AU  - Jiang X
AD  - School of Information Science and Technology, Donghua University, Shanghai 
      201620, China. xqjiang@dhu.edu.cn.
FAU - Lee, Moon Ho
AU  - Lee MH
AD  - Department of Electronics and Information Engineering, Chonbuk National 
      University, Jeonju 54896, Korea. moonho@jbnu.ac.kr.
LA  - eng
PT  - Journal Article
DEP - 20170918
PL  - Switzerland
TA  - Sensors (Basel)
JT  - Sensors (Basel, Switzerland)
JID - 101204366
PMC - PMC5621025
OTO - NOTNLM
OT  - 5G
OT  - NOMA
OT  - beamforming
OT  - energy efficiency
OT  - massive MIMO
OT  - power allocation
OT  - user pairing
OT  - worst-case
COIS- The authors declare no conflict of interest.
EDAT- 2017/09/21 06:00
MHDA- 2017/09/21 06:01
PMCR- 2017/09/01
CRDT- 2017/09/21 06:00
PHST- 2017/08/15 00:00 [received]
PHST- 2017/09/11 00:00 [revised]
PHST- 2017/09/14 00:00 [accepted]
PHST- 2017/09/21 06:00 [entrez]
PHST- 2017/09/21 06:00 [pubmed]
PHST- 2017/09/21 06:01 [medline]
PHST- 2017/09/01 00:00 [pmc-release]
AID - s17092139 [pii]
AID - sensors-17-02139 [pii]
AID - 10.3390/s17092139 [doi]
PST - epublish
SO  - Sensors (Basel). 2017 Sep 18;17(9):2139. doi: 10.3390/s17092139.