Clustering for Topological Interference Management

JIANG Xue; ZHENG Baoyu; WANG Lei; HOU Xiaoyun

doi:10.1049/cje.2021.00.277

Volume 31 Issue 5

Sep. 2022

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Article Navigation > Chinese Journal of Electronics > 2022 > 31(5): 844-850

JIANG Xue, ZHENG Baoyu, WANG Lei, et al., “Clustering for Topological Interference Management,” Chinese Journal of Electronics, vol. 31, no. 5, pp. 844-850, 2022, doi: 10.1049/cje.2021.00.277

Citation:

JIANG Xue, ZHENG Baoyu, WANG Lei, et al., “Clustering for Topological Interference Management,” Chinese Journal of Electronics, vol. 31, no. 5, pp. 844-850, 2022, doi: 10.1049/cje.2021.00.277

JIANG Xue, ZHENG Baoyu, WANG Lei, et al., “Clustering for Topological Interference Management,” Chinese Journal of Electronics, vol. 31, no. 5, pp. 844-850, 2022, doi: 10.1049/cje.2021.00.277

Citation:

JIANG Xue, ZHENG Baoyu, WANG Lei, et al., “Clustering for Topological Interference Management,” Chinese Journal of Electronics, vol. 31, no. 5, pp. 844-850, 2022, doi: 10.1049/cje.2021.00.277

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Clustering for Topological Interference Management

doi: 10.1049/cje.2021.00.277

1.
Nanjing University of Posts and Telecommunications, Nanjing 210003, China

Funds: This work was supported by the National Natural Science Foundation of China (62001248, 62071255, 61971241, 61771257, 62001246), the Major Projects of the Natural Science Foundation of the Jiangsu Higher Education Institutions (20KJA510009), the Open Research Fund of Key Lab of Broadband Wireless Communication and Sensor Network Technology (Nanjing University of Posts and Telecommunications), Ministry of Education (JZNY201914), the Open Research Fund of National and Local Joint Engineering Laboratory of RF Integration and Micro-Assembly Technology, Nanjing University of Posts and Telecommunications (KFJJ20170305).

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Author Bio:
received the M.S. degree and Ph.D. degree from Nanjing University of Posts and Telecommunications (NUPT), China, in 2007 and 2019, respectively. She is currently a Lecturer at the Institute of Internet of Things, Nanjing University of Posts and Telecommunications, China. Her research interests include signal processing in wireless communications and interference alignment. (Email: jiangx@njupt.edu.cn)

received the B.S. and M.S. degrees from the Department of Circuit and Signal System, NUPT, in 1969 and 1981, respectively. Since then, he has been engaged in teaching and researching of signal and information processing. He is a Full Professor and Doctoral Advisor at NUPT. His research interests span the broad area of the intelligent signal processing, wireless network and signal processing for modern communication, and the quantum signal processing. (Email: zby@njupt.edu.cn)

(corresponding author) received the M.S. degree and the Ph.D. degree in telecommunications and information engineering from Nanjing University of Posts and Telecommunications, Nanjing, China, in 2007 and 2010, respectively. From 2012 to 2013, he was a Postdoctoral Research Fellow at the Department of Electrical Engineering, Columbia University, USA. He is currently a Professor at the College of Telecommunications and Information Engineering, Nanjing University of Posts and Telecommunications, Nanjing, China. His research interests include millimeter wave wireless communications, resource allocation in wireless networks, signal processing for communications, spectrum sensing for cognitive radio, and random matrix theory. (Email: wanglei@njupt.edu.cn)

received the B.S. degree and the M.S. degree from Nanjing University of Posts and Telecommunications in 1999 and 2002, and the Ph.D. degree from Shanghai Jiaotong University in 2005. She joined Nanjing University of Posts and Telecommunications, China, in 2005, where she has been an Associate Professor since 2009. She was a Visiting Scholar at University of California, Davis, CA from 2012 to 2013. Her current research interests include signal processing techniques in high mobility MIMO communications. (Email: houxy@njupt.edu.cn)
Received Date: 2021-08-06
Accepted Date: 2022-02-19

Available Online: 2022-03-09

Publish Date: 2022-09-05

Abstract

Abstract

To reduce the overhead and complexity of channel state information acquisition in interference alignment, the topological interference management (TIM) was proposed to manage interference, which only relied on the network topology information. The previous research on topological interference management via the low-rank matrix completion approach is known to be NP-hard. This paper considers the clustering method for the topological interference management problem, namely, the low-rank matrix completion for TIM is applied within each cluster. Based on the clustering result, we solve the low-rank matrix completion problem via nuclear norm minimization and Frobenius norm minimization function. Simulation results demonstrate that the proposed clustering method combined with TIM leads to significant gain on the achievable degrees of freedom.
- Interference alignment,
- Topological interference management,
- Clustering,
- Low-rank matrix completion

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References(15)

References

[1]	V. R. Cadambe and S. A. Jafar, “Interference alignment and degrees of freedom of the K-user interference channel,” IEEE Transactions on Information Theory, vol.54, no.8, pp.3425–3441, 2008. doi: 10.1109/TIT.2008.926344
[2]	Xue Jiang, Baoyu Zheng, Wei-Ping Zhu, et al., “Optimal transceiver design for energy harvesting two-way relay networks,” IET Communications, vol.14, no.19, pp.3388–3393, 2020. doi: 10.1049/iet-com.2019.1039
[3]	Mohammad Akbari and Abolfazl Falahati, “On feasibility conditions for linear interference alignment over cognitive interference channel: A DoF analysis with diversity tradeoff,” IETE Journal of Research, vol.62, no.3, pp.278–287, 2016. doi: 10.1080/03772063.2015.1110060
[4]	A. Falahati and M. Akbari, “Interference alignment in space, time and frequency: Achievable DoF analysis,” Electronics Letters, vol.52, no.3, pp.204–206, 2016. doi: 10.1049/el.2015.3541
[5]	S. A. Jafar, “Topological interference management through index coding,” IEEE Transactions on Information Theory, vol.60, no.1, pp.529–568, 2014. doi: 10.1109/TIT.2013.2285151
[6]	Y. Shi, J. Zhang, and K. B. Letaief, “Low-rank matrix completion for topological interference management by Riemannian pursuit,” IEEE Transactions on Wireless Communications, vol.15, no.7, pp.4703–4717, 2016.
[7]	Y. Shi, B. Mishra, and W. Chen, “Topological interference management with user admission control via Riemannian optimization,” IEEE Transactions on Wireless Communications, vol.16, no.11, pp.7362–7375, 2017. doi: 10.1109/TWC.2017.2747539
[8]	Kai Yang, Yuanming Shi, and Zhi Ding, “Generalized low-rank optimization for topological cooperation in ultra-dense networks,” IEEE Transactions on Wireless Communications, vol.18, no.5, pp.2539–2551, 2019. doi: 10.1109/TWC.2019.2904570
[9]	Salam Doumiati, Mohamad Assaad, and Hassan Ali Artail, “A framework of topological interference management and clustering for D2D networks,” IEEE Transactions on Communications, vol.67, no.11, pp.7856–7871, 2019. doi: 10.1109/TCOMM.2019.2931319
[10]	Xinping Yi and Hua Sun, “Opportunistic topological interference management,” IEEE Transactions on Communications, vol.68, no.1, pp.521–535, 2020. doi: 10.1109/TCOMM.2019.2948638
[11]	Sebin Gracy, Federica Garin, and Alain Y. Kibangou, “Input and state observability of network systems with time-varying topology,” IEEE Transactions on Control of Network Systems, vol.6, no.2, pp.897–905, 2019. doi: 10.1109/TCNS.2018.2880304
[12]	Sujie Chen and Roger S. Cheng, “Clustering for interference alignment in multiuser interference network,” IEEE Transactions on Vehicular Technology, vol.63, no.6, pp.2613–2624, 2014. doi: 10.1109/TVT.2013.2292897
[13]	K Ghorbani and A Falahati, “Interference alignment and scheduling in clustered partially connected small cell networks,” International Journal of Communication Systems, vol.33, no.16, pp.1–13, 2020.
[14]	H Zhang, K Yang, S Zhang, and X Wang, “Efficient subchannel allocation based on partial clustered interference alignment and clusters merging in dense small cell networks,” IEEE Transactions on Vehicular Technology, vol.69, no.12, pp.16191–16196, 2020. doi: 10.1109/TVT.2020.3032669
[15]	D. Papailiopoulos and A. Dimakis, “Interference alignment as a rank constrained rank minimization,” IEEE Trans. on Signal Processing, vol.60, no.8, pp.4278–4288, 2012. doi: 10.1109/TSP.2012.2197393