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Interference-Aware Resource Optimization for Device-to-Device Communications in 5G Networks

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Interference-Aware Resource Optimization for Device-to-Device Communications in 5G Networks. / Hao, Yuanyuan; Ni, Qiang; Hou, Shujuan et al.
In: IEEE Access, Vol. 6, 31.12.2018, p. 78437-78452.

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

Harvard

Hao, Y, Ni, Q, Hou, S & Min, G 2018, 'Interference-Aware Resource Optimization for Device-to-Device Communications in 5G Networks', IEEE Access, vol. 6, pp. 78437-78452. https://doi.org/10.1109/ACCESS.2018.2885035

APA

Hao, Y., Ni, Q., Hou, S., & Min, G. (2018). Interference-Aware Resource Optimization for Device-to-Device Communications in 5G Networks. IEEE Access, 6, 78437-78452. https://doi.org/10.1109/ACCESS.2018.2885035

Vancouver

Hao Y, Ni Q, Hou S, Min G. Interference-Aware Resource Optimization for Device-to-Device Communications in 5G Networks. IEEE Access. 2018 Dec 31;6:78437-78452. Epub 2018 Dec 4. doi: 10.1109/ACCESS.2018.2885035

Author

Hao, Yuanyuan ; Ni, Qiang ; Hou, Shujuan et al. / Interference-Aware Resource Optimization for Device-to-Device Communications in 5G Networks. In: IEEE Access. 2018 ; Vol. 6. pp. 78437-78452.

Bibtex

@article{41ccf038cff04b0d91667f5ecdfe2c32,
title = "Interference-Aware Resource Optimization for Device-to-Device Communications in 5G Networks",
abstract = "In this paper, we investigate the resource optimization problem for device-to-device (D2D) communications in the fifth-generation cellular networks, where multiple D2D links and cellular links share the same spectrum. A general framework is proposed to jointly optimize the energy efficiency (EE), spectralefficiency (SE), and queuing delay. Specifically, we formulate the problem as a stochastic optimization model aiming at maximizing the EE and SE concurrently under the network stability constraint, where subchannel allocation and power control are jointly optimized. Afterwards, with the help of Lyapunov techniques and weighted sum method, it is then transformed into a single-objective optimization problem, which is a mixedinteger and non-convex problem. Therefore, to solve this challenging subchannel allocation and powercontrol problem with low computational complexity, we separate it into two levels of problems, and a twostage iterative algorithm is proposed, which only requires polynomial computational complexity. Through theoretical analysis and numerical results, the effectiveness, convergence, and optimality of the proposed algorithm are validated.",
author = "Yuanyuan Hao and Qiang Ni and Shujuan Hou and Geyong Min",
year = "2018",
month = dec,
day = "31",
doi = "10.1109/ACCESS.2018.2885035",
language = "English",
volume = "6",
pages = "78437--78452",
journal = "IEEE Access",
issn = "2169-3536",
publisher = "Institute of Electrical and Electronics Engineers Inc.",

}

RIS

TY - JOUR

T1 - Interference-Aware Resource Optimization for Device-to-Device Communications in 5G Networks

AU - Hao, Yuanyuan

AU - Ni, Qiang

AU - Hou, Shujuan

AU - Min, Geyong

PY - 2018/12/31

Y1 - 2018/12/31

N2 - In this paper, we investigate the resource optimization problem for device-to-device (D2D) communications in the fifth-generation cellular networks, where multiple D2D links and cellular links share the same spectrum. A general framework is proposed to jointly optimize the energy efficiency (EE), spectralefficiency (SE), and queuing delay. Specifically, we formulate the problem as a stochastic optimization model aiming at maximizing the EE and SE concurrently under the network stability constraint, where subchannel allocation and power control are jointly optimized. Afterwards, with the help of Lyapunov techniques and weighted sum method, it is then transformed into a single-objective optimization problem, which is a mixedinteger and non-convex problem. Therefore, to solve this challenging subchannel allocation and powercontrol problem with low computational complexity, we separate it into two levels of problems, and a twostage iterative algorithm is proposed, which only requires polynomial computational complexity. Through theoretical analysis and numerical results, the effectiveness, convergence, and optimality of the proposed algorithm are validated.

AB - In this paper, we investigate the resource optimization problem for device-to-device (D2D) communications in the fifth-generation cellular networks, where multiple D2D links and cellular links share the same spectrum. A general framework is proposed to jointly optimize the energy efficiency (EE), spectralefficiency (SE), and queuing delay. Specifically, we formulate the problem as a stochastic optimization model aiming at maximizing the EE and SE concurrently under the network stability constraint, where subchannel allocation and power control are jointly optimized. Afterwards, with the help of Lyapunov techniques and weighted sum method, it is then transformed into a single-objective optimization problem, which is a mixedinteger and non-convex problem. Therefore, to solve this challenging subchannel allocation and powercontrol problem with low computational complexity, we separate it into two levels of problems, and a twostage iterative algorithm is proposed, which only requires polynomial computational complexity. Through theoretical analysis and numerical results, the effectiveness, convergence, and optimality of the proposed algorithm are validated.

U2 - 10.1109/ACCESS.2018.2885035

DO - 10.1109/ACCESS.2018.2885035

M3 - Journal article

VL - 6

SP - 78437

EP - 78452

JO - IEEE Access

JF - IEEE Access

SN - 2169-3536

ER -