Cognitive Radio Oriented Wireless Networks. 13th EAI International Conference, CROWNCOM 2018, Ghent, Belgium, September 18–20, 2018, Proceedings

Research Article

Improving Spectrum Efficiency in Heterogeneous Networks Using Granular Identification

  • @INPROCEEDINGS{10.1007/978-3-030-05490-8_18,
        author={Rohit Singh and Douglas Sicker},
        title={Improving Spectrum Efficiency in Heterogeneous Networks Using Granular Identification},
        proceedings={Cognitive Radio Oriented Wireless Networks. 13th EAI International Conference, CROWNCOM 2018, Ghent, Belgium, September 18--20, 2018, Proceedings},
        proceedings_a={CROWNCOM},
        year={2019},
        month={1},
        keywords={Spectrum efficiency Identification Heterogeneous networks Spectrum sharing Optimization Radio resource management},
        doi={10.1007/978-3-030-05490-8_18}
    }
    
  • Rohit Singh
    Douglas Sicker
    Year: 2019
    Improving Spectrum Efficiency in Heterogeneous Networks Using Granular Identification
    CROWNCOM
    Springer
    DOI: 10.1007/978-3-030-05490-8_18
Rohit Singh1,*, Douglas Sicker,*
  • 1: Carnegie Mellon University
*Contact email: rohits1@andrew.cmu.edu, sicker@cmu.edu

Abstract

Given the ever-increasing demand for wireless services and the pending explosion of the Internet of Things (IoT), demand for radio spectrum will only become more acute. Setting aside (but not ignoring) the need for additional allocations of spectrum, the existing spectrum needs to be used more efficiently so that it can meet the demand. Other than providing more spectrum there are other factors (like, transmit power, antenna angles, QoS, bandwidth, and others) that can be adjusted to cater to the demand and at the same time increase the spectrum efficiency. With heterogeneity and densification these factors are so varied it becomes necessary that we have some tool to monitor these factors so as to optimize our outcome. Here we propose a PHY layer granular identification that monitors the physical and logical parameters associated with a device/antenna. Through a simple optimization problem, we show how the proposed identification mechanism can further the cause of spectrum efficiency and ease coordination among devices in a heterogeneous network (HetNet) to assign resources more optimally. Compared to received signal strength (RSS) way of assigning resources the proposed approach shows a to increase (depending on the requested QoS) in spectrum efficiency. Ultimately, this research is aimed at assisting the regulators in addressing future spectrum related efficiency and enforcement issues.