Efficient use of random neural networks for cognitive radio system in LTE-UL

Ahsan Adeel, Hadi Larijani, Ali Ahmadinia

Research output: Chapter in Book/Report/Conference proceedingConference contribution

7 Citations (Scopus)


Cognitive radio networks (CRNs) or self-organizing mobile cellular networks are a promising technology for 5G that manages the spectrum frequency domain more efficiently. At the heart of CRNs is the cognitive engine (CE), which is responsible for decision making on the optimal configuration settings for the CRN in real time if possible. In this paper a novel paradigm for decision making in the CE will be presented called hierarchical random neural networks (HRNNs). The proposed HRNN model decomposes a large complex neural network into a network of loosely interconnected localized subnets, which allow the simplified understanding of network behaviour and also allows the addition of more nodes for long-term memory(LTM). The model can also accurately capture the dynamic nature of the system. Simulation results of the proposed HRNN structure has shown improvements in learning efficiency (based on required execution time for convergent result) in the range of 33% to 35% with reduced computations.

Original languageEnglish
Title of host publication2014 11th International Symposium on Wireless Communications Systems (ISWCS)
PublisherInstitute of Electrical and Electronics Engineers Inc.
Number of pages5
ISBN (Electronic)9781479958634
Publication statusPublished - 23 Oct 2014
Event11th International Symposium on Wireless Communications Systems - Barcelona, Spain
Duration: 26 Aug 201429 Aug 2014

Publication series

ISSN (Print)2154-0217
ISSN (Electronic)2154-0225


Conference11th International Symposium on Wireless Communications Systems
Abbreviated titleISWCS 2014


  • Neurons
  • Interference
  • Neural networks
  • Computational modeling
  • Mathematical model
  • Training
  • Decision making

ASJC Scopus subject areas

  • Electrical and Electronic Engineering
  • Computer Networks and Communications


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