Home > Research > Publications & Outputs > Resource Allocation for Weighted Sum-Rate Maxim...

Research

Associated organisational units

Links

Text available via DOI:

View graph of relations

Resource Allocation for Weighted Sum-Rate Maximization in Multi-User Full-Duplex Deviceto-Device Communications: Approaches for Perfect and Statistical CSIs

Research output: Contribution to Journal/Magazine › Journal article › peer-review

Published

Standard

Resource Allocation for Weighted Sum-Rate Maximization in Multi-User Full-Duplex Deviceto-Device Communications: Approaches for Perfect and Statistical CSIs . / Li, Song; Ni, Qiang; Sun, Yanjing et al.
In: IEEE Access, Vol. 5, 2017, p. 27229-27241.

Research output: Contribution to Journal/Magazine › Journal article › peer-review

Harvard

Li, S, Ni, Q, Sun, Y & Min, G 2017, 'Resource Allocation for Weighted Sum-Rate Maximization in Multi-User Full-Duplex Deviceto-Device Communications: Approaches for Perfect and Statistical CSIs ', IEEE Access, vol. 5, pp. 27229-27241. https://doi.org/10.1109/ACCESS.2017.2751084

APA

Li, S., Ni, Q., Sun, Y., & Min, G. (2017). Resource Allocation for Weighted Sum-Rate Maximization in Multi-User Full-Duplex Deviceto-Device Communications: Approaches for Perfect and Statistical CSIs . IEEE Access, 5, 27229-27241. https://doi.org/10.1109/ACCESS.2017.2751084

Vancouver

Li S, Ni Q, Sun Y, Min G. Resource Allocation for Weighted Sum-Rate Maximization in Multi-User Full-Duplex Deviceto-Device Communications: Approaches for Perfect and Statistical CSIs . IEEE Access. 2017;5:27229-27241. Epub 2017 Sept 11. doi: 10.1109/ACCESS.2017.2751084

Author

Li, Song ; Ni, Qiang ; Sun, Yanjing et al. / Resource Allocation for Weighted Sum-Rate Maximization in Multi-User Full-Duplex Deviceto-Device Communications : Approaches for Perfect and Statistical CSIs . In: IEEE Access. 2017 ; Vol. 5. pp. 27229-27241.

Bibtex

@article{33e1e9fd4636448cbd42f9a03a5c7858,
title = "Resource Allocation for Weighted Sum-Rate Maximization in Multi-User Full-Duplex Deviceto-Device Communications: Approaches for Perfect and Statistical CSIs ",
abstract = "In this paper, we investigate the resource allocation problem for multi-user full-duplex device-to-device (D2D) underlay communication, considering both perfect channel state information (CSI) and statistical CSI scenarios. In perfect CSI scenario, the weighted sum-rate maximization problem under cellular users{\textquoteright} minimum rate constraints is formulated as a mixed integer programming problem. To solve the challenging problem, we decouple it into two subproblems: power allocation and channel assignment. Then we proposed a power allocation algorithm based on Difference of two Convex functions (DC) programming and a channel assignment algorithm based on Kuhn-Munkres algorithm respectively. In statistical CSI scenario, we formulate the resource allocation problem as an outage probability constrained weighted ergodic sum-rate maximization problem. To solve the problem, the closed-form expressions of outage probability and weighted ergodic sum-rate are derived firstly. Then we decouple resource allocation problem into power allocation and channel assignment. An optimization solution that consists of a 2- dimensional global searching and Kuhn-Munkres algorithm is then developed. Simulation results demonstrate that the proposed algorithms can improve the weighted sum-rate of full-duplex D2D communications significantly both in perfect CSI and statistical CSI scenarios and confirm the accuracy of our derived closed-form expressions.",
author = "Song Li and Qiang Ni and Yanjing Sun and Geyong Min",
year = "2017",
doi = "10.1109/ACCESS.2017.2751084",
language = "English",
volume = "5",
pages = "27229--27241",
journal = "IEEE Access",
issn = "2169-3536",
publisher = "Institute of Electrical and Electronics Engineers Inc.",

}

RIS

TY - JOUR

T1 - Resource Allocation for Weighted Sum-Rate Maximization in Multi-User Full-Duplex Deviceto-Device Communications

T2 - Approaches for Perfect and Statistical CSIs

AU - Li, Song

AU - Ni, Qiang

AU - Sun, Yanjing

AU - Min, Geyong

PY - 2017

Y1 - 2017

N2 - In this paper, we investigate the resource allocation problem for multi-user full-duplex device-to-device (D2D) underlay communication, considering both perfect channel state information (CSI) and statistical CSI scenarios. In perfect CSI scenario, the weighted sum-rate maximization problem under cellular users’ minimum rate constraints is formulated as a mixed integer programming problem. To solve the challenging problem, we decouple it into two subproblems: power allocation and channel assignment. Then we proposed a power allocation algorithm based on Difference of two Convex functions (DC) programming and a channel assignment algorithm based on Kuhn-Munkres algorithm respectively. In statistical CSI scenario, we formulate the resource allocation problem as an outage probability constrained weighted ergodic sum-rate maximization problem. To solve the problem, the closed-form expressions of outage probability and weighted ergodic sum-rate are derived firstly. Then we decouple resource allocation problem into power allocation and channel assignment. An optimization solution that consists of a 2- dimensional global searching and Kuhn-Munkres algorithm is then developed. Simulation results demonstrate that the proposed algorithms can improve the weighted sum-rate of full-duplex D2D communications significantly both in perfect CSI and statistical CSI scenarios and confirm the accuracy of our derived closed-form expressions.

AB - In this paper, we investigate the resource allocation problem for multi-user full-duplex device-to-device (D2D) underlay communication, considering both perfect channel state information (CSI) and statistical CSI scenarios. In perfect CSI scenario, the weighted sum-rate maximization problem under cellular users’ minimum rate constraints is formulated as a mixed integer programming problem. To solve the challenging problem, we decouple it into two subproblems: power allocation and channel assignment. Then we proposed a power allocation algorithm based on Difference of two Convex functions (DC) programming and a channel assignment algorithm based on Kuhn-Munkres algorithm respectively. In statistical CSI scenario, we formulate the resource allocation problem as an outage probability constrained weighted ergodic sum-rate maximization problem. To solve the problem, the closed-form expressions of outage probability and weighted ergodic sum-rate are derived firstly. Then we decouple resource allocation problem into power allocation and channel assignment. An optimization solution that consists of a 2- dimensional global searching and Kuhn-Munkres algorithm is then developed. Simulation results demonstrate that the proposed algorithms can improve the weighted sum-rate of full-duplex D2D communications significantly both in perfect CSI and statistical CSI scenarios and confirm the accuracy of our derived closed-form expressions.

U2 - 10.1109/ACCESS.2017.2751084

DO - 10.1109/ACCESS.2017.2751084

M3 - Journal article

VL - 5

SP - 27229

EP - 27241

JO - IEEE Access

JF - IEEE Access

SN - 2169-3536

ER -