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Overview on Interference Management Technology for Ultra-Dense Network

DOI: 10.4236/oalib.1104675, PP. 1-14

Subject Areas: Mobile and Portable Communications Systems

Keywords: Ultra-Dense Network, Interference Management, Interference Alignment, Clustering, Resource Allocation

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Abstract

The explosive growth of the mobile traffic demand has triggered the investigation of 5th generation mobile networks (5G) for the future development of wireless communications. The ultra-dense network (UDN) has the ability to effectively improve system throughput and spectrum utilization by deploying a large number of low-power, low-cost, low-power home base stations or micro base stations. The dense distribution of micro base stations poses new challenges in terms of energy loss and interference management. Firstly, the overview of 5G is briefly introduced in this paper. Then, interference management method for UDN is summarized. So far, interference management methods for UDN mainly include interference alignment, clustering, and resource allocation. The principles of the three methods are described in detail. Finally, we conclude that clustering and resource allocation are more suitable for UDN.

Cite this paper

Zhang, D. and Tian, X. (2018). Overview on Interference Management Technology for Ultra-Dense Network. Open Access Library Journal, 5, e4675. doi: http://dx.doi.org/10.4236/oalib.1104675.

References

[1]  Ngo, H.Q., Larsson, E.G. and Marzetta, T.L. (2011) Energy and Spectral Efficiency of Very Large Multiuser MIMO Systems. IEEE Transactions on Communications, 61, 1436-1449.
[2]  Bhushan, N., Li, J., Malladi, D., et al. (2014) Network Densification: The Dominant Theme for Wireless Evolution into 5G. Communications Magazine IEEE, 52, 82-89.
https://doi.org/10.1109/MCOM.2014.6736747
[3]  Marzetta, T.L. (2010) Noncooperative Cellular Wireless with Unlimited Numbers of Base Station Antennas. IEEE Transactions on Wireless Communications, 9, 3590-3600.
https://doi.org/10.1109/TWC.2010.092810.091092
[4]  Yang, J., Chen, L., Liu, Q., et al. (2015) Review on Key Technologies in 5G Mobile Communication System. Mobile Communications, 39, 79-84.
[5]  Ye, J., Ge, X., Mao, G., et al. (2017) 5G Ultra-Dense Networks with Non-Uniform Distributed Users.
[6]  Ding, M. and López-Pérez, D. (2017) On the Performance of Practical Ultra-Dense Networks: The Major and Minor Factors. IEEE International Symposium on Modeling and Optimization in Mobile, Ad Hoc, and Wireless Networks, Paris, 15-19 May 2017, 1-8.
[7]  Li, P., Jiang, H., Gao, S., et al. (2016) Impact of BS Sleeping and User Association Scheme on Delay in Ultra-Dense Networks. IEEE International Conference on Wireless Communications & Signal Processing, Yangzhou, 13-15 October 2016, 1-6.
[8]  Feng, M. and Mao, S. (2017) Interference Management and User Association for Nested Array-Based Massive MIMO HetNets. IEEE Transactions on Vehicular Technology, 99, 1-1.
[9]  Galiotto, C., Marchetti, N. and Doyle, L. (2012) Flexible Spectrum Sharing and Interference Coordination for Low Power Nodes in Heterogeneous Networks. IEEE Vehicular Technology Conference, Quebec City, QC, 3-6 September 2012, 1-5.
[10]  Lin, Z.S. (2014) Stochastic Geometry Analysis on Small Cell Networks and Enhanced Technologies. Beijing University of Posts and Telecommunications, Beijing.
[11]  Osseiran, A., Braun, V., Hidekazu, T., et al. (2014) The Foundation of the Mobile and Wireless Communications System for 2020 and Beyond: Challenges, Enablers and Technology Solutions. IEEE Vehicular Technology Conference, 1-5.
[12]  Dat, P.T., Kanno, A., Yamamoto, N., et al. (2016) 5G Transport Networks: The Need for New Technologies and Standards. IEEE Communications Magazine, 54, 18-26.
https://doi.org/10.1109/MCOM.2016.7565268
[13]  Chen, S.Y., Xing, C.W. and Fei, Z.S. (2015) Distributed Resource Allocation in Ultra-Dense Networks via Belief Propagation. China Communication, 12, 79-91.
[14]  Cho, M.J., Ban, T.W., Bang, C.J., et al. (2015) A Distributed Scheduling with Interference-Aware Power Control for Ultra-Dense Networks. IEEE International Conference on Communications, London, 8-12 June 2015, 1661-1666.
[15]  Chen, S., Xing, C., Fei, Z., et al. (2016) Dynamic Clustering Algorithm Design for Ultra Dense Small Cell Networks in 5G. IEEE International Conference on Communications and Networking in China, 836-840.
[16]  Tang, S., Sun, C., Wang, J., et al. (2016) Interference Management Based on Cell Clustering in Ultra-Highly Dense Small Cell Networks. International Conference on Information and Communications Technologies, Xi’an, 24-26 April 2015, 1-6.
[17]  Zhao, C., Xu, X., Gao, Z. and Huang, L. (2016) A Coloring-Based Cluster Resource Allocation for Ultra Dense Network. IEEE International Conference on Signal Processing, Communications and Computing, Hong Kong, 5-8 August 2016, 1-5.
[18]  Zhang, H., Li, H., Lee, J.H. and Dai, H.Y. (2017) QoS-Based Interference Alignment with Similarity Clustering for Efficient Subchannel Allocation in Dense Small Cell Networks. IEEE Transactions on Communications, 65, 5054-5066.
https://doi.org/10.1109/TCOMM.2017.2737001
[19]  Qin, C. and Tian, H. (2014) A Greedy Dynamic Clustering Algorithm of Joint Transmission in Dense Small Cell Deployment. Consumer Communications and Networking Conference, Las Vegas, 10-13 January 2014, 629-634.
[20]  Seno, R., Ohtsuki, T., Jiang, W., et al. (2016) A Low-Complexity Cell Clustering Algorithm in Dense Small Cell Networks. EURASIP Journal on Wireless Communications and Networking, 2016, 262.
https://doi.org/10.1186/s13638-016-0765-3
[21]  Sun, Y., Chang, Y., Hu, M. and Wang, B. (2015) A Cluster-Based Hybrid Access Strategy Using Non-Cooperative Game Theory for Ultra-Dense HetNet. IEEE International Conference on High PERFORMANCE Computing and Communications, New York, 24-26 August 2015, 14-19.
https://doi.org/10.1109/HPCC-CSS-ICESS.2015.146
[22]  Kim, S.J., Cho, I.K., Lee, B.B., Bae, S.-H. and Cho, C.-H. (2016) Multi-Cluster based Dynamic Channel Assignment for Dense Femtocell Networks. KSII Transactions on Internet & Information Systems, 10, 1535-1554.
[23]  Chen, L., Xia, H., Feng, C. and Wu, S. (2015) Clustering-Based Co-Tier Interference Coordination in Dense Small Cell Networks. IEEE 26th Annual International Symposium on Personal, Indoor, and Mobile Radio Communications (PIMRC), Hong Kong, 30 August-2 September 2015, 1878-1882.
https://doi.org/10.1109/PIMRC.2015.7343605
[24]  Hosseini, K., Dahrouj, H. and Adve, R. (2012) Distributed Clustering and Interference Management in Two-Tier Networks. Global Communications Conference, Anaheim, 3-7 December 2012, 4267-4272.
[25]  Kschischang, F.R., Frey, B.J. and Loeliger, H.-A. (2001) Factor Graphs and the Sum-Product Algorithm. IEEE Transactions on Information Theory, 47, 498-519.
https://doi.org/10.1109/18.910572
[26]  Liu, L., Garcia, V., Tian, L., et al. (2015) Joint Clustering and Inter-Cell Resource Allocation for CoMP in Ultra Dense Cellular Networks. IEEE International Conference on Communications, London, 8-12 June 2015, 2560-2564.
https://doi.org/10.1109/ICC.2015.7248710
[27]  Wei, R., Wang, Y. and Zhang, Y. (2015) A Two-Stage Cluster-Based Resource Management Scheme in Ultra-Dense Networks. IEEE/CIC International Conference on Communications in China, Shanghai, 13-15 October 2014, 738-742.
[28]  Qiu, J., Ding, G., Wu, Q., et al. (2017) Hierarchical Resource Allocation Framework for Hyper-Dense Small Cell Networks. IEEE Access, 4, 8657-8669.
https://doi.org/10.1109/ACCESS.2016.2633434
[29]  Liu, Y., Li, X., Ji, H., et al. (2017) Grouping and Cooperating among Access Points in User-Centric Ultra-Dense Networks with Non-Orthogonal Multiple Access. IEEE Journal on Selected Areas in Communications, 35, 2295-2311.
https://doi.org/10.1109/JSAC.2017.2724680
[30]  Ye, Y., Zhang, H., Xiong, X. and Liu, Y. (2015) Dynamic Min-Cut Clustering for Energy Savings in Ultra-Dense Networks. Vehicular Technology Conference, Boston, MA, 6-9 September 2015, 1-5.
https://doi.org/10.1109/VTCFall.2015.7390904
[31]  Lin, Y., Zhang, R., Yang, L., et al. (2017) Secure User-Centric Clustering for Energy Efficient Ultra Dense Networks: Design and Optimization. IEEE Journal on Selected Areas in Communications, PP, 1-1.
[32]  Sun, G., Zhang, H. and Liu, G. (2016) User Demand Aware Soft-Association Control in Ultra-Dense Small Cell Networks. IEEE 41st Conference on Local Computer Networks, Dubai, 7-10 November 2016, 651-654.
[33]  Sun, W. and Teng, Y. (2017) Impact of User Mobility on Transmit Power Control in Ultra Dense Networks. IEEE International Conference on Communications Workshops, Paris, 21-25 May 2017, 1165-1170.
[34]  Pateromichelakis, E., Shariat, M., Quddus, A., et al. (2013) Dynamic Clustering Framework for Multi-Cell Scheduling in Dense Small Cell Networks. IEEE Communications Letters, 17, 1802-1805.
https://doi.org/10.1109/LCOMM.2013.072313.131248
[35]  Cao, J., Peng, T., Qi, Z., et al. (2018) Interference Management in Ultra-Dense Networks: A User-Centric Coalition Formation Game Approach. IEEE Transactions on Vehicular Technology, PP, 1-1.
[36]  Chuang, M.C., Chen, M.C. and Lin, Y.H. (2017) SDN-Based Resource Allocation Scheme in Ul-tra-Dense OFDMA Smallcell Networks. International Conference on Advanced Materials for Science and Engineering, Tainan, 12-13 November 2016, 524-527.
[37]  Gathala, S.A.K., Dhurjati, D., Ermolinskiy, A. and Vick, C.A. (2015) Energy-Efficient Run-Time Offloading of Dynamically Generated Code in Heterogenuous Multiprocessor Systems. US Patent No. 13961122.
[38]  Lv, H., Xia, X., Hua, Z. and Yu, Y. (2015) Researching the Key Technologies of Wireless Sensor Network Node in Power Distribution Room Status Monitoring. International Conference on Cloud Computing and Internet of Things, Changchun, 13-14 December 2014, 161-165.
[39]  Huang, J., Zhou, P., Teng, D., et al. (2017) Clustering-Based Energy-Saving Algorithm in Ultra-Dense Network. IOP Conference Series: Earth and Environmental Science, 012145.
[40]  Du, J., Gelenbe, E., Jiang, C., et al. (2017) Contract Design for Traffic Offloading and Resource Allocation in Heterogeneous Ultra-Dense Networks. IEEE Journal on Selected Areas in Communications, 35, 2457-2467.
https://doi.org/10.1109/JSAC.2017.2760459
[41]  Chen, M., Hua, Y., Gu, X., et al. (2016) A Self-Organizing Resource Allocation Strategy Based on Q-Learning Approach in Ultra-Dense Networks. IEEE International Conference on Network Infrastructure and Digital Content, Beijing, 23-25 September 2016, 155-160.
https://doi.org/10.1109/ICNIDC.2016.7974555
[42]  Liu, Y., Wang, Y., Zhang, Y., et al. (2016) Game-Theoretic Hierarchical Resource Allocation in Ultra-Dense Networks. IEEE International Symposium on Personal, Indoor, and Mobile Radio Communications, Valencia, 4-8 September 2016, 1-6.
https://doi.org/10.1109/PIMRC.2016.7794819
[43]  Hua, C., Luo, Y. and Liu, H. (2016) Wireless Backhaul Resource Allocation and User-Centric Clustering in Ultra-Dense Wireless Networks. IET Communications, 10, 1858-1864.
https://doi.org/10.1049/iet-com.2016.0119
[44]  Cheng, L., Gao, Y., Li, Y., et al. (2015) A Cooperative Resource Allocation Scheme Based on Self-Organized Network in Ultra-Dense Small Cell Deployment. IEEE 81st Vehicular Technology Conference, Glasgow, 11-14 May 2015, 1-6.
https://doi.org/10.1109/VTCSpring.2015.7145594
[45]  Shen, S. and Lok, T.M. (2013) Dynamic Power Allocation for Downlink Interference Management in a Two-Tier OFDMA Network. IEEE Transactions on Vehicular Technology, 62, 4120-4125.
https://doi.org/10.1109/TVT.2013.2262955
[46]  Gao, Y., Cheng, L., Zhang, X., et al. (2016) Enhanced Power Allocation Scheme in Ultra-Dense Small Cell Network. China Communication, 13, 21-29.
[47]  Xu, L., Mao, Y., Leng, S., et al. (2017) Energy-Efficient Resource Allocation Strategy in Ultra Dense Small-Cell Networks: A Stackelberg Game Approach. IEEE International Conference on Communications, Paris, 21-25 May 2017, 1-6.
https://doi.org/10.1109/ICC.2017.7997289
[48]  Zhang, T., Zhao, J., An, L., et al. (2016) Energy Efficiency of Base Station Deployment in Ultra Dense HetNets: A Stochastic Geometry Analysis. IEEE Wireless Communications Letters, 5, 184-187.
https://doi.org/10.1109/LWC.2016.2516010
[49]  De Mari, M. and Quek, T. (2017) Energy-Efficient Proactive Scheduling in Ultra Dense Networks. IEEE International Conference on Communications, Paris, 21-25 May 2017, 1-6.
https://doi.org/10.1109/ICC.2017.7996471
[50]  Mwanje, S.S. and Ali-Tolppa, J. (2016) Fluid Capacity for Energy Saving Management in Multi-Layer Ultra-Dense 4G/5G Cellular Networks. International Conference on Network and Service Management, Montreal, 31 October-4 November 2016, 233-237.
[51]  Zhang, H. (2016) Research of Area Spectrial Efficiency and Area Energy Efficiency in Ultra-Dense Networks. Harbin Institute of Technology, Harbin.
[52]  Kao, H., Wei, C.Y., Lin, H.C., et al. (2016) Adaptive Measurement for Energy Efficient Mobility Management in Ultra-Dense Small Cell Networks. IEEE International Conference on Communications, Kuala Lumpur, 22-27 May 2016, 1-6.
[53]  Singh, R. and Murthy, C.S.R. (2016) Techniques for Interference Mitigation Using Cooperative Resource Partitioning in Multitier LTE HetNets. IEEE Systems Journal, 12, 843-853.
https://doi.org/10.1109/JSYST.2016.2527504
[54]  Huang, P.H., Kao, H. and Liao, W. (2017) Cross-Tier Cooperation for Optimal Resource Utilization in Ultra-Dense Heterogeneous Networks. IEEE Transactions on Vehicular Technology, 66, 11193-11207.
https://doi.org/10.1109/TVT.2017.2732165
[55]  Xu, J., Cheng, J., Han, L. and Zhou, J. (2013) Lifetime Scaling Law of Ordinary Clustering Ultra-Wideband Sensor Network. Wireless Communications and Mobile Computing Conference, Sardinia, 1-5 July 2013, 1464-1469.
https://doi.org/10.1109/IWCMC.2013.6583772
[56]  Zhang, Z., Ma, Z., Xiao, M., et al. (2016) Two-Timeslot Two-Way Full-Duplex Relaying for 5G Wireless Communication Networks. IEEE Transactions on Communications, 64, 2873-2887.
https://doi.org/10.1109/TCOMM.2016.2574845
[57]  Abdelnasser, A. and Hossain, E. (2013) Subchannel and Power Allocation Schemes for Clustered Femtocells in Two-Tier OFDMA HetNets. IEEE International Conference on Communications Workshops, Budapest, 9-13 June 2013, 1129-1133.
https://doi.org/10.1109/ICCW.2013.6649406
[58]  Yan, R., Zhang, G., Li, B., et al. (2013) An Effective Semi-Static Interference Coordination Scheme for Wireless Cellular Systems. Wireless Telecommunications Symposium, Phoenix, AZ, 17-19 April 2013, 1-6.
[59]  Wu, Y., Jiang, H. and Zhang, D. (2012) A Novel Coordinated Spectrum Assignment Scheme for Densely Deployed Enterprise LTE Femtocells. IEEE 75th Vehicular Technology Conference, Yokohama, 6-9 May 2012, 1-6.
https://doi.org/10.1109/VETECS.2012.6239854
[60]  Mahmood, N.H., Berardinelli, G., Pedersen, K.I. and Mogensen, P. (2015) An Interference-Aware Distributed Transmission Technique for Dense Small Cell Networks. IEEE International Conference on Communication Workshop, London, 8-12 June 2015, 119-124.
[61]  Soldati, P. and Koudouridis, G.P. (2015) Distributed Spectrum Access in Dense 5G Networks. IEEE Interna-tional Symposium on Personal, Indoor, and Mobile Radio Communications, Hong Kong, 30 August-2 September 2015, 1901-1906.
https://doi.org/10.1109/PIMRC.2015.7343609
[62]  Oueis, J., Strinati, E.C., Sardellitti, S., et al. (2016) Small Cell Clustering for Efficient Distributed Fog Computing: A Multi-User Case. IEEE 82nd Vehicular Technology Confer-ence, Boston, MA, 6-9 September 2015, 1-5.
[63]  Bennis, M., Perlaza, S.M., Blasco, P., et al. (2013) Self-Organization in Small Cell Networks: A Reinforcement Learning Approach. IEEE Transactions on Wireless Communications, 12, 3202-3212.
https://doi.org/10.1109/TWC.2013.060513.120959

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