Computationally Intelligent Techniques for Resource Management in MmWave Small Cell Networks

Hamnah Munir, Haris Pervaiz, Syed Ali Hassan, Leila Musavian, Qiang Ni, Muhammad Ali Imran, Rahim Tafazolli
2018 IEEE wireless communications  
Ultra densification in heterogeneous networks (HetNets) and the advent of millimeter wave (mmWave) technology for fifth generation (5G) networks have led the researchers to redesign the existing resource management techniques. A salient feature of this activity is to accentuate the importance of computationally intelligent (CI) resource allocation schemes offering less complexity and overhead. This paper overviews the existing literature on resource management in mmWave-based HetNets with a
more » ... ial emphasis on CI techniques and further proposes frameworks that ensure quality-of-service requirements for all network entities. More specifically, HetNets with mmWavebased small cells pose different challenges as compared to an all-microwave-based system. Similarly, various modes of small cell access policies (e.g., closed versus open) and operations of base stations in dual mode, i.e., operating both mmWave and microwave links simultaneously, offer unique challenges to resource allocation. Furthermore, the use of multi-slope path loss models becomes inevitable for analysis owing to irregular cell patterns are blocking characteristics of mmWave communications. This paper amalgamates the unique challenges posed because of the aforementioned recent developments and proposes various CI-based techniques including game theory and optimization routines to perform efficient resource management.
doi:10.1109/mwc.2018.1700400 fatcat:563lbionifcwnieu7l6yspbnqe