QoE-driven resource allocation for D2D underlaying NOMA cellular networks

Liangyu Chen; Bo Hu; Shanzhi Chen; Guixian Xu

doi:10.1109/WCNC49053.2021.9417558

QoE-driven resource allocation for D2D underlaying NOMA cellular networks

Liangyu Chen
, Bo Hu
, Shanzhi Chen
, Guixian Xu

Electrical Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Scientific › peer-review

4 Citations (Scopus)

30 Downloads (Pure)

Abstract

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.

Original language	English
Title of host publication	2021 IEEE Wireless Communications and Networking Conference, WCNC 2021
Publisher	IEEE
Number of pages	6
ISBN (Electronic)	9781728195056
DOIs	https://doi.org/10.1109/WCNC49053.2021.9417558
Publication status	Published - 2021
Publication type	A4 Article in conference proceedings
Event	IEEE Wireless Communications and Networking Conference - , China Duration: 29 Mar 2021 → 1 Apr 2021

Publication series

Name	IEEE Wireless Communications and Networking Conference, WCNC
Volume	2021-March
ISSN (Print)	1525-3511

Conference

Conference	IEEE Wireless Communications and Networking Conference
Country/Territory	China
Period	29/03/21 → 1/04/21

Funding

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.

Keywords

D2D
NOMA
Power allocation
QoE
Subchannel assignment

Publication forum classification

Publication forum level 1

ASJC Scopus subject areas

General Engineering

Access to Document

10.1109/WCNC49053.2021.9417558

QoE_wcnc
©2021 IEEE
Accepted author manuscript, 373 KBLicence: Unspecified

https://urn.fi/URN:NBN:fi:tuni-202302082181Licence: Unspecified

Cite this

@inproceedings{a8ad9a8bc6ce47e280626361a7e8002d,

title = "QoE-driven resource allocation for D2D underlaying NOMA cellular networks",

abstract = "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.",

keywords = "D2D, NOMA, Power allocation, QoE, Subchannel assignment",

author = "Liangyu Chen and Bo Hu and Shanzhi Chen and Guixian Xu",

note = "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: {\textcopyright}2021 IEEE. jufoid=57592; IEEE Wireless Communications and Networking Conference ; Conference date: 29-03-2021 Through 01-04-2021",

year = "2021",

doi = "10.1109/WCNC49053.2021.9417558",

language = "English",

series = "IEEE Wireless Communications and Networking Conference, WCNC",

publisher = "IEEE",

booktitle = "2021 IEEE Wireless Communications and Networking Conference, WCNC 2021",

address = "United States",

}

Chen, L, Hu, B, Chen, S & Xu, G 2021, QoE-driven resource allocation for D2D underlaying NOMA cellular networks. in 2021 IEEE Wireless Communications and Networking Conference, WCNC 2021. IEEE Wireless Communications and Networking Conference, WCNC, vol. 2021-March, IEEE, IEEE Wireless Communications and Networking Conference, China, 29/03/21. https://doi.org/10.1109/WCNC49053.2021.9417558

QoE-driven resource allocation for D2D underlaying NOMA cellular networks. / Chen, Liangyu; Hu, Bo; Chen, Shanzhi et al.
2021 IEEE Wireless Communications and Networking Conference, WCNC 2021. IEEE, 2021. (IEEE Wireless Communications and Networking Conference, WCNC; Vol. 2021-March).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Scientific › peer-review

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 -

QoE-driven resource allocation for D2D underlaying NOMA cellular networks

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