TY - GEN
T1 - QoE-driven resource allocation for D2D underlaying NOMA cellular networks
AU - Chen, Liangyu
AU - Hu, Bo
AU - Chen, Shanzhi
AU - Xu, Guixian
N1 - Funding Information:
This paper investigated the QoE-driven power and SC allocation problem in D2D underlaying NOMA cellular networks. A joint optimization problem was formulated, aiming to maximize sum MOSs of all users while ensuring minimum QoE demand of each CU and DU. Since the formulated optimization problem was mixed-integer and non-convex, the original optimization problem was first converted into a more tractable form. Then, by means of AO framework and CCCP technique, a two-stage iteration alogrithm was proposed. Simulation results demonstrated that introducing QoE threshold mechanism into proposed QoE-driven optimization scheme can further improve user satisfaction. Additionally, the results revealed that compared to QoS-driven NOMA solution, the proposed scheme achieves significant QoE performance enhancement, which characterizes the effectiveness of proposed scheme in optimizing the QoE of CUs and D2D pairs in D2D underlaying NOMA cellular networks. ACKNOWLEDGMENT This work was supported by the National Natural Science Foundation of China (NSFC) under Grant 61931005 and the National Key R&D Program of China under Grant 2020YFB1807900.
Publisher Copyright:
©2021 IEEE.
jufoid=57592
PY - 2021
Y1 - 2021
N2 - Device-to-device (D2D) communication can significantly improve network coverage and spectral efficiency. Meanwhile, non-orthogonal multiple access (NOMA) has recently been integrated with D2D communication to further improve connection density and satisfy explosive data rate requirements of end users. Considering quality of experience (QoE) has become an important indicator from the user perspective, in this paper, we study the QoE-driven resource allocation problem in a device-to-device (D2D) underlaying NOMA cellular network coexisting with D2D pairs and NOMA-based cellular users (CUs). Our target is to maximize the sum mean opinion scores (MOSs) of all users while guaranteeing the minimum QoE requirement of each CU and D2D pair, by jointly optimizing subchannel assignment and power allocation at CUs and D2D pairs. Since this problem is mixed-integer and non-convex, we first transform it into an equivalent yet more tractable form. Then, a two-stage iterative algorithm based on the alternating optimization framework and constrained concave-convex procedure technique is proposed to optimize subchannel assignment and power allocation alternately. Simulation results show that the proposed scheme outperforms the orthogonal multiple access solution and three NOMA based benchmark schemes in terms of QoE performance.
AB - Device-to-device (D2D) communication can significantly improve network coverage and spectral efficiency. Meanwhile, non-orthogonal multiple access (NOMA) has recently been integrated with D2D communication to further improve connection density and satisfy explosive data rate requirements of end users. Considering quality of experience (QoE) has become an important indicator from the user perspective, in this paper, we study the QoE-driven resource allocation problem in a device-to-device (D2D) underlaying NOMA cellular network coexisting with D2D pairs and NOMA-based cellular users (CUs). Our target is to maximize the sum mean opinion scores (MOSs) of all users while guaranteeing the minimum QoE requirement of each CU and D2D pair, by jointly optimizing subchannel assignment and power allocation at CUs and D2D pairs. Since this problem is mixed-integer and non-convex, we first transform it into an equivalent yet more tractable form. Then, a two-stage iterative algorithm based on the alternating optimization framework and constrained concave-convex procedure technique is proposed to optimize subchannel assignment and power allocation alternately. Simulation results show that the proposed scheme outperforms the orthogonal multiple access solution and three NOMA based benchmark schemes in terms of QoE performance.
KW - D2D
KW - NOMA
KW - Power allocation
KW - QoE
KW - Subchannel assignment
U2 - 10.1109/WCNC49053.2021.9417558
DO - 10.1109/WCNC49053.2021.9417558
M3 - Conference contribution
AN - SCOPUS:85119324963
T3 - IEEE Wireless Communications and Networking Conference, WCNC
BT - 2021 IEEE Wireless Communications and Networking Conference, WCNC 2021
PB - IEEE
T2 - IEEE Wireless Communications and Networking Conference
Y2 - 29 March 2021 through 1 April 2021
ER -