4.7 Article

Resource Allocation for Ultra-Dense Networks: A Survey, Some Research Issues and Challenges

Journal

IEEE COMMUNICATIONS SURVEYS AND TUTORIALS
Volume 21, Issue 3, Pages 2134-2168

Publisher

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/COMST.2018.2867268

Keywords

Ultra-dense network; resource allocation; caching; mobile edge computing; stochastic geometry; stochastic optimization; mean field game

Funding

  1. National Key Research and Development Program of China [2018YFB120022]
  2. National Natural Science Foundation of China [61771072, 61427801]
  3. Beijing Natural Science Foundation [L171011]
  4. Beijing Major Science and Technology Special Projects [Z181100003118012]
  5. China Scholarship Council [201706470059]

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Driven by the explosive data traffic and new quality of service requirement of mobile users, the communication industry has been experiencing a new evolution by means of network infrastructure densification. With the increase of the density as well as the variety of access points (APs), the network benefits from proximal transmissions and increased spatial reuse of system resources, thus introducing a new paradigm named ultra-dense networks (UDNs). Since the limited available resources are shared by ubiquitous APs in UDNs, the demand for efficient resource allocation schemes becomes even more compelling. However, the large scale of UDNs impedes the exploration of effective resource allocation approaches particularly on the computational complexity and significance overhead or feedback. In this paper, we provide a survey-style introduction to resource allocation approaches in UDNs. Specifically, we first present some common scenarios of UDNs with the relevant special issues. Second, we provide a taxonomy to classify the resource allocation methods in the existing literatures. Then, to alleviate the main difficulties of UDNs, some prevailing and feasible solutions are elaborated. Next, we present some emerging technologies thriving UDNs with special RA features discussed. Additionally, the challenges and open research directions are outlined in this field.

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