An Iterative Transfer Matrix Computation Method for Propagation Graphs in Multi-Room Environments

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Abstract

This letter presents a reduced complexity method for computing the transfer matrix of wireless channels in complex indoor environments with a large number of rooms using propagation graphs. Multiroom indoor environments can be represented in a vector signal flow graph with rooms in the complex structure as nodes and propagation between rooms as branches. We propose an iterative procedure to compute the transfer matrix of such complex graphs. The state vector for each node in the graph is iteratively computed until convergence. The state vector for the room(s) with the receiver is then used to compute the transfer function. We show via simulations that the proposed approach closely approximates the original model at much reduced complexity.

Original languageEnglish
Article number8638953
JournalI E E E Antennas and Wireless Propagation Letters
Volume18
Issue number4
Pages (from-to)616-620
Number of pages5
ISSN1536-1225
DOIs
Publication statusPublished - Apr 2019

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Signal flow graphs
Transfer functions

Keywords

  • Channel model
  • complexity
  • multiroom indoor environment
  • propagation graph (PG)
  • signal flow graph

Cite this

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title = "An Iterative Transfer Matrix Computation Method for Propagation Graphs in Multi-Room Environments",
abstract = "This letter presents a reduced complexity method for computing the transfer matrix of wireless channels in complex indoor environments with a large number of rooms using propagation graphs. Multiroom indoor environments can be represented in a vector signal flow graph with rooms in the complex structure as nodes and propagation between rooms as branches. We propose an iterative procedure to compute the transfer matrix of such complex graphs. The state vector for each node in the graph is iteratively computed until convergence. The state vector for the room(s) with the receiver is then used to compute the transfer function. We show via simulations that the proposed approach closely approximates the original model at much reduced complexity.",
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An Iterative Transfer Matrix Computation Method for Propagation Graphs in Multi-Room Environments. / Adeogun, Ramoni; Bharti, Ayush; Pedersen, Troels.

In: I E E E Antennas and Wireless Propagation Letters, Vol. 18, No. 4, 8638953, 04.2019, p. 616-620.

Research output: Contribution to journalJournal articleResearchpeer-review

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AB - This letter presents a reduced complexity method for computing the transfer matrix of wireless channels in complex indoor environments with a large number of rooms using propagation graphs. Multiroom indoor environments can be represented in a vector signal flow graph with rooms in the complex structure as nodes and propagation between rooms as branches. We propose an iterative procedure to compute the transfer matrix of such complex graphs. The state vector for each node in the graph is iteratively computed until convergence. The state vector for the room(s) with the receiver is then used to compute the transfer function. We show via simulations that the proposed approach closely approximates the original model at much reduced complexity.

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