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Cooperative transmissions in ultra-dense networks under a bounded dual-slope path loss model

Authors: Yanpeng Yang; Sung, Ki Won; Jihong Park; Seong-Lyun Kim; Kim, Kwang Soon;

Cooperative transmissions in ultra-dense networks under a bounded dual-slope path loss model

Abstract

In an Ultra-dense network (UDN) where there are more base stations (BSs) than active users, it is possible that many BSs are instantaneously left idle. Thus, how to utilize these dormant BSs by means of cooperative transmission is an interesting question. In this paper, we investigate the performance of a UDN with two types of cooperation schemes: non-coherent joint transmission (JT) without channel state information (CSI) and coherent JT with full CSI knowledge. We consider a bounded dual-slope path loss model to describe UDN environments where a user has several BSs in the near-field and the rest in the far-field. Numerical results show that non-coherent JT cannot improve the user spectral efficiency (SE) due to the simultaneous increment in signal and interference powers. For coherent JT, the achievable SE gain depends on the range of near-field, the relative densities of BSs and users, and the CSI accuracy. Finally, we assess the energy efficiency (EE) of cooperation in UDN. Despite costing extra energy consumption, cooperation can still improve EE under certain conditions.

Comment: 6 pages, 8 figure, to appear in EuCNC 2017

Country
Denmark
Subjects by Vocabulary

Microsoft Academic Graph classification: Computer science Communications system Interference (wave propagation) Topology Electronic mail Base station Path loss business.industry Spectral efficiency Transmission (telecommunications) Channel state information business Computer network

Keywords

FOS: Computer and information sciences, Computer Science - Information Theory, Computer Science - Networking and Internet Architecture, Ultra-dense networks, multi-slope path loss model, Networking and Internet Architecture (cs.NI), Information Theory (cs.IT), bounded path loss model, cooperative transmissions, Ultra-dense networks, cooperative transmissions, bounded path loss model, multi-slope path loss model

12 references, page 1 of 2

[1] M. Kamel, W. Hamouda, and A. Youssef, “Ultra-dense networks: A survey,” IEEE Communications Surveys Tutorials, vol. PP, no. 99, pp. 1-1, 2016.

[2] D. Loˆpez-Pe`rez, M. Ding, H. Claussen, and A. H. Jafari, “Towards 1 gbps/ue in cellular systems: Understanding ultra-dense small cell deployments,” IEEE Communications Surveys Tutorials, vol. 17, no. 4, pp. 2078-2101, Fourthquarter 2015. [OpenAIRE]

[3] J. Park, S. L. Kim, and J. Zander, “Tractable resource management with uplink decoupled millimeter-wave overlay in ultra-dense cellular networks,” IEEE Transactions on Wireless Communications, vol. 15, no. 6, pp. 4362-4379, June 2016.

[4] P. Marsch and G. Fettweis, “Static clustering for cooperative multi-point (comp) in mobile communications,” in in Proc. 2011 IEEE International Conference on Communications (ICC), June 2011.

[5] S. Chen, F. Qin, B. Hu, X. Li, and Z. Chen, “User-centric ultradense networks for 5g: challenges, methodologies, and directions,” IEEE Wireless Communications, vol. 23, no. 2, pp. 78-85, April 2016.

[6] H. Inaltekin, M. Chiang, H. V. Poor, and S. B. Wicker, “On unbounded path-loss models: effects of singularity on wireless network performance,” IEEE Journal on Selected Areas in Communications, vol. 27, no. 7, pp. 1078-1092, September 2009.

[7] X. Zhang and J. G. Andrews, “Downlink cellular network analysis with multi-slope path loss models,” IEEE Transactions on Communications, vol. 63, no. 5, pp. 1881-1894, May 2015.

[8] M. Ding, D. Lopez-Perez, G. Mao, P. Wang, and Z. Lin, “Will the area spectral efficiency monotonically grow as small cells go dense?” in in Proc. 2015 IEEE Global Communications Conference (GLOBECOM), San Diego, CA, USA, December 2015.

[9] S. M. Yu and S.-L. Kim, “Downlink capacity and base station density in cellular networks,” in 2013 11th International Symposium on Modeling Optimization in Mobile, Ad Hoc Wireless Networks (WiOpt), Tsukuba Science City, Japan, May 2013.

[10] Y. Yang and K. W. Sung, “Tradeoff between spectrum and densification for achieving target user throughput,” in 2015 IEEE 81st Vehicular Technology Conference (VTC Spring), May 2015, pp. 1-6.

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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
views
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