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

Yanpeng Yang, Ki Won Sung, Jihong Park, Seong Lyun Kim, Kwang Soon Kim

Research output: Contribution to book/anthology/report/conference proceedingArticle in proceedingResearchpeer-review

8 Citations (Scopus)

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.

Original languageEnglish
Title of host publicationEuCNC 2017 - European Conference on Networks and Communications
PublisherIEEE
Publication date13 Jul 2017
Article number7980732
ISBN (Electronic)9781538638736
DOIs
Publication statusPublished - 13 Jul 2017
Event2017 European Conference on Networks and Communications, EuCNC 2017 - Oulu, Finland
Duration: 12 Jun 201715 Jun 2017

Conference

Conference2017 European Conference on Networks and Communications, EuCNC 2017
Country/TerritoryFinland
CityOulu
Period12/06/201715/06/2017

Keywords

  • bounded path loss model
  • cooperative transmissions
  • multi-slope path loss model
  • Ultra-dense networks

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