TY - JOUR
T1 - Cross-Layer power allocation in nonorthogonal multiple access systems for statistical QoS provisioning
AU - Liu, Gang
AU - Ma, Zheng
AU - Chen, Xianhao
AU - Ding, Zhiguo
AU - Richard Yu, F.
AU - Fan, Pingzhi
N1 - Funding Information:
Manuscript received December 14, 2016; revised May 23, 2017; accepted June 30, 2017. Date of publication July 11, 2017; date of current version December 14, 2017. This work was supported in part by the NSFC under Grant 61601377 and Grant 61571373, in part by the Fundamental Research Funds for the Central Universities (2682016CX043), in part by the Key International Cooperation Project of Sichuan Province (2017HH0002), and in part by the NSFC China–Swedish under Project 6161101297. The review of this paper was coordinated by Prof. Xianbin Wang. (Corresponding author: Gang Liu.) G. Liu is with the Key Laboratory of Information Coding and Transmission, Southwest Jiaotong University, Chengdu 610031, China, and is also with the State Key Laboratory of Integrated Services Networks, Xidian University, Xi’an 710071, China (e-mail: [email protected]).
Funding Information:
This work was supported in part by the NSFC under Grant 61601377 and Grant 61571373, in part by the Fundamental Research Funds for the Central Universities (2682016CX043), in part by the Key International Cooperation Project of Sichuan Province (2017HH0002), and in part by the NSFC China?Swedish under Project 6161101297. The review of this paper was coordinated by Prof. Xianbin Wang.
Publisher Copyright:
© 2017 IEEE.
PY - 2017/12
Y1 - 2017/12
N2 - Power allocation is a critical issue in the physical layer of power-domain nonorthogonal multiple access (NOMA) systems. However, existing power allocation schemes have not considered the delay quality of service (QoS) requirement in the datalink layer of users, and hence may not ensure the desired delay QoS requested by the services in the upper layers. Different from existing works, we apply the statistical QoS theory into NOMA systems and formulate the physical-datalink cross-layer power allocation problem as a stochastic optimization problem under different delay QoS constraints. Also, we show that the formulated problem is quasi-concave and propose a bisection-based cross-layer power allocation algorithm. Simulation results show that the proposed algorithm is able to converge to the optimal solution obtained by exhaustive search. Also, the proposed scheme outperforms existing fixed NOMA and time-division multiple access based schemes in terms of max–min effective capacity.
AB - Power allocation is a critical issue in the physical layer of power-domain nonorthogonal multiple access (NOMA) systems. However, existing power allocation schemes have not considered the delay quality of service (QoS) requirement in the datalink layer of users, and hence may not ensure the desired delay QoS requested by the services in the upper layers. Different from existing works, we apply the statistical QoS theory into NOMA systems and formulate the physical-datalink cross-layer power allocation problem as a stochastic optimization problem under different delay QoS constraints. Also, we show that the formulated problem is quasi-concave and propose a bisection-based cross-layer power allocation algorithm. Simulation results show that the proposed algorithm is able to converge to the optimal solution obtained by exhaustive search. Also, the proposed scheme outperforms existing fixed NOMA and time-division multiple access based schemes in terms of max–min effective capacity.
KW - 5G
KW - Delay QoS requirement
KW - Effective capacity
KW - NOMA
KW - Power allocation
UR - http://www.scopus.com/inward/record.url?scp=85023610360&partnerID=8YFLogxK
U2 - 10.1109/TVT.2017.2725641
DO - 10.1109/TVT.2017.2725641
M3 - Article
AN - SCOPUS:85023610360
SN - 0018-9545
VL - 66
SP - 11388
EP - 11393
JO - IEEE Transactions on Vehicular Technology
JF - IEEE Transactions on Vehicular Technology
IS - 12
M1 - 7973098
ER -