Article citationsMore>>

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

has been cited by the following article:

• TITLE: Overview on Interference Management Technology for Ultra-Dense Network

  AUTHORS: Danqing Zhang, Xinji Tian

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

  JOURNAL NAME: Open Access Library Journal, Vol.5 No.6, June 20, 2018

  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.