TY - JOUR
T1 - QoE-Based Resource Allocation for Multi-Cell NOMA Networks
AU - Cui, Jingjing
AU - Liu, Yuanwei
AU - Ding, Zhiguo
AU - Fan, Pingzhi
AU - Nallanathan, Arumugam
N1 - Funding Information:
Manuscript received July 21, 2017; revised February 12, 2018, April 26, 2018, and June 17, 2018; accepted July 7, 2018. Date of publication July 20, 2018; date of current version September 10, 2018. The work of J. Cui was supported in part by the National Science Foundation of China under Grant 61731017, in part by the 111 Project under Grant 111-2-14, and in part by the U.K. EPSRC under Grant EP/N029720/2. The work of Z. Ding was supported in part by the U.K. EPSRC under Grant EP/N005597/1 and in part by H2020-MSCA-RISE-2015 under Grant 690750. The work of P. Fan was supported in part by the National Science Foundation of China under Grant 61731017 and in part by the 111 Project under Grant 111-2-14. The work of A. Nallanathan was supported by the U.K. EPSRC under Grant EP/N029720/2. This paper was presented in part at the IEEE Global Communication Conference Workshop, Singapore, December, 2017 [1]. The associate editor coordinating the review of this paper and approving it for publication was S. Wang. (Corresponding author: Yuanwei Liu.) J. Cui is with the Institute of Mobile Communications, Southwest Jiaotong University, Chengdu 610031, China, and also with the School of Electronic Engineering and Computer Science, Queen Mary University of London, London E1 4NS, U.K. (e-mail: [email protected]).
Publisher Copyright:
© 2002-2012 IEEE.
PY - 2018/9
Y1 - 2018/9
N2 - Quality of experience (QoE) is an important indicator in the fifth generation (5G) wireless communication systems. For characterizing user-base station (BS) association, subchannel assignment, and power allocation, we investigate the resource allocation problem in multi-cell multicarrier non-orthogonal multiple access (MC-NOMA) networks. An optimization problem is formulated with the objective of maximizing the sum mean opinion scores (MOSs) of users in the networks. To solve the challenging mixed integer programming problem, we first decompose it into two subproblems, which are characterized by combinational variables and continuous variables, respectively. For the combinational subproblem, a 3-D matching problem is proposed for modeling the relation among users, BSs, and subchannels. Then, a two-step approach is proposed to attain a suboptimal solution. For the continuous power allocation subproblem, the branch and bound approach is invoked to obtain the optimal solution. Furthermore, a low complexity suboptimal approach based on successive convex approximation techniques is developed for striking a good computational complexity-optimality tradeoff. Simulation results reveal that: 1) the proposed NOMA networks is capable of outperforming conventional orthogonal multiple access networks in terms of QoE and 2) the proposed algorithms for sum-MOS maximization can achieve significant fairness improvement against the sum-rate maximization scheme.
AB - Quality of experience (QoE) is an important indicator in the fifth generation (5G) wireless communication systems. For characterizing user-base station (BS) association, subchannel assignment, and power allocation, we investigate the resource allocation problem in multi-cell multicarrier non-orthogonal multiple access (MC-NOMA) networks. An optimization problem is formulated with the objective of maximizing the sum mean opinion scores (MOSs) of users in the networks. To solve the challenging mixed integer programming problem, we first decompose it into two subproblems, which are characterized by combinational variables and continuous variables, respectively. For the combinational subproblem, a 3-D matching problem is proposed for modeling the relation among users, BSs, and subchannels. Then, a two-step approach is proposed to attain a suboptimal solution. For the continuous power allocation subproblem, the branch and bound approach is invoked to obtain the optimal solution. Furthermore, a low complexity suboptimal approach based on successive convex approximation techniques is developed for striking a good computational complexity-optimality tradeoff. Simulation results reveal that: 1) the proposed NOMA networks is capable of outperforming conventional orthogonal multiple access networks in terms of QoE and 2) the proposed algorithms for sum-MOS maximization can achieve significant fairness improvement against the sum-rate maximization scheme.
KW - Multi-cell multicarrier non-orthogonal multiple access (MC-NOMA)
KW - quality of experience (QoE)
KW - resource allocation
KW - the branch and bound (BB) approach
KW - three-dimensional (3D) matching
UR - http://www.scopus.com/inward/record.url?scp=85050378129&partnerID=8YFLogxK
U2 - 10.1109/TWC.2018.2855130
DO - 10.1109/TWC.2018.2855130
M3 - Article
AN - SCOPUS:85050378129
SN - 1536-1276
VL - 17
SP - 6160
EP - 6176
JO - IEEE Transactions on Wireless Communications
JF - IEEE Transactions on Wireless Communications
IS - 9
M1 - 8415760
ER -