TY - JOUR
T1 - Power Allocation Algorithms for Stable Successive Interference Cancellation in Millimeter Wave NOMA Systems
AU - Zhang, Yu
AU - Zhao, Xiongwen
AU - Geng, Suiyan
AU - Zhou, Zhenyu
AU - Qin, Peng
AU - Zhang, Lei
AU - Yang, Liuqing
N1 - Publisher Copyright:
© 1967-2012 IEEE.
PY - 2021/6
Y1 - 2021/6
N2 - In this paper, we investigate power allocation algorithms in a downlink millimeter wave non-orthogonal multiple access (mmWave-NOMA) system, which consists of one base station (BS) and a group of two-user clusters. Specifically, two optimization problems are formulated to maximize the achievable sum rate (ASR) and energy efficiency (EE), respectively, while satisfying the individual quality of service (QoS) constraints. To ensure the stability of successive interference cancellation (SIC-stability), we specially add the power order constraints, which are often neglected in existing works. By dividing each formulated problem into more tractable inter-cluster and intra-cluster sub-problems, and deriving the corresponding solutions, we propose the ASR maximization based power allocation (ASRMax-PA) and EE maximization based power allocation (EEMax-PA) algorithms. Numerical results show that the proposed ASRMax-PA (EEMax-PA) algorithm is much better than the state-of-the-art schemes in term of ASR (EE), while yields quite good EE (ASR) performance simultaneously. Moreover, both the two proposed algorithms can ensure SIC-stability, which is shown to have a significant impact on the NOMA system performance.
AB - In this paper, we investigate power allocation algorithms in a downlink millimeter wave non-orthogonal multiple access (mmWave-NOMA) system, which consists of one base station (BS) and a group of two-user clusters. Specifically, two optimization problems are formulated to maximize the achievable sum rate (ASR) and energy efficiency (EE), respectively, while satisfying the individual quality of service (QoS) constraints. To ensure the stability of successive interference cancellation (SIC-stability), we specially add the power order constraints, which are often neglected in existing works. By dividing each formulated problem into more tractable inter-cluster and intra-cluster sub-problems, and deriving the corresponding solutions, we propose the ASR maximization based power allocation (ASRMax-PA) and EE maximization based power allocation (EEMax-PA) algorithms. Numerical results show that the proposed ASRMax-PA (EEMax-PA) algorithm is much better than the state-of-the-art schemes in term of ASR (EE), while yields quite good EE (ASR) performance simultaneously. Moreover, both the two proposed algorithms can ensure SIC-stability, which is shown to have a significant impact on the NOMA system performance.
KW - Millimeter wave NOMA
KW - SIC-stability
KW - achievable sum rate
KW - energy efficiency
KW - power allocation
UR - http://www.scopus.com/inward/record.url?scp=85105874596&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85105874596&partnerID=8YFLogxK
U2 - 10.1109/TVT.2021.3077270
DO - 10.1109/TVT.2021.3077270
M3 - Article
AN - SCOPUS:85105874596
SN - 0018-9545
VL - 70
SP - 5833
EP - 5847
JO - IEEE Transactions on Vehicular Technology
JF - IEEE Transactions on Vehicular Technology
IS - 6
M1 - 9423658
ER -