Interference Coordination Algorithm of Co-frequency and Co-time Full Duplex Device-to-Device underlaying Cellular Network

ZHOU Yuetian; SHAO Shihai; QI Fei; SHI Chengzhe

doi:10.11999/JEIT240120

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ZHOU Yuetian, SHAO Shihai, QI Fei, SHI Chengzhe. Interference Coordination Algorithm of Co-frequency and Co-time Full Duplex Device-to-Device underlaying Cellular Network[J]. Journal of Electronics & Information Technology. doi: 10.11999/JEIT240120

Citation:

ZHOU Yuetian, SHAO Shihai, QI Fei, SHI Chengzhe. Interference Coordination Algorithm of Co-frequency and Co-time Full Duplex Device-to-Device underlaying Cellular Network[J]. Journal of Electronics & Information Technology. doi: 10.11999/JEIT240120

Citation:

ZHOU Yuetian, SHAO Shihai, QI Fei, SHI Chengzhe. Interference Coordination Algorithm of Co-frequency and Co-time Full Duplex Device-to-Device underlaying Cellular Network[J]. Journal of Electronics & Information Technology. doi: 10.11999/JEIT240120

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Interference Coordination Algorithm of Co-frequency and Co-time Full Duplex Device-to-Device underlaying Cellular Network

doi: 10.11999/JEIT240120

ZHOU Yuetian^{1, 2},
SHAO Shihai^{1
,
,},
QI Fei²,
SHI Chengzhe¹

1.
National Key Laboratory of Science and Technology on Communications, University of Electronic Science and Technology of China, Chengdu 611731, China
2.
Institute of Mobile and Terminal Technology, China Telecom Research Institute, Beijing 102200, China

Received Date: 2024-02-29
Rev Recd Date: 2024-07-15

Available Online: 2024-07-23

Abstract

Abstract

The Residual Self-Interference (RSI) caused by Co-frequency and Co-time Full Duplex Device-to-Device (CCFD-D2D) and the interference introduced by spectrum sharing between D2D User (DU) and Cellular User (CU) lead to a degradation in the quality of experience for CUs. Therefore, the CCFD-D2D underlaying cellular system is considered and two algorithms are proposed, that is Maximizing Sum-rate of CU (MaxSumCU) and Maximizing Minimum-rate of CU (MaxMinCU) algorithm, to enhance the experience for CUs while spectral efficiency of the system is improved. For the MaxSumCU algorithm, an optimization problem is investigated to maximize the sum rate of CUs in the system, and formulate it as a Mixed Integer NonLinear Programming problem (MINLP) which is NP-hard in mathematics. MaxSumCU is designed to decompose it into two sub-problems as power control and spectral resource allocation. The power control is solved by geometric programming, and the resource allocation is achieved by employing Kuhn-Munkres algorithm to determine the spectrum sharing pairs of CUs and DUs. To provide a more uniform rate performance across all CUs, the MaxMinCU algorithm is designed to maximize the minimum rate among the CUs. The novel spectrum resource allocation algorithm based on bisection searching and Kuhn-Munkres minimum-weight algorithm is proposed to solve this optimization problem. Numerical results show that, compared with Maximizing Sum-rate of Cell (MaxSumCell) design, our proposed algorithm effectively optimize the CU’s experience while improve the spectral efficiency of system in CCFD-D2D underlaying cellular networks.

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References(16)

References

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