Users Association in Ultra Dense THz Networks

Users Association in Ultra Dense THz Networks. Boulogeorgos, A., A., A., Goudos, S., K., & Alexiou, A. In IEEE Workshop on Signal Processing Advances in Wireless Communications, SPAWC, volume 2018-June, 2018.
doi abstract bibtex

In this paper, we formulate a novel throughput aware user association scheme for ultra dense terahertz (THz) networks. In more detail, we introduce a user association problem, which takes into account the THz channel particularities, the directivity of the BSs' and UEs' antennas, as well as their position and the UEs' minimum rate requirements. Moreover, we provide the solution framework, which is based on the grey wolf optimizer (GWO) and returns the optimal user association table. Finally, we present comparative simulation results, which validate the superiority of the proposed framework against the commonly-used particle swarm optimizer (PSO) approach.

@inproceedings{
 title = {Users Association in Ultra Dense THz Networks},
 type = {inproceedings},
 year = {2018},
 volume = {2018-June},
 id = {a34e30be-407c-3ea5-87ee-5c165e6ee61f},
 created = {2020-02-29T16:57:42.268Z},
 file_attached = {false},
 profile_id = {c69aa657-d754-373c-91b7-64154b7d5d91},
 last_modified = {2023-02-11T18:54:02.178Z},
 read = {false},
 starred = {false},
 authored = {true},
 confirmed = {true},
 hidden = {false},
 citation_key = {Boulogeorgos2018},
 private_publication = {false},
 abstract = {In this paper, we formulate a novel throughput aware user association scheme for ultra dense terahertz (THz) networks. In more detail, we introduce a user association problem, which takes into account the THz channel particularities, the directivity of the BSs' and UEs' antennas, as well as their position and the UEs' minimum rate requirements. Moreover, we provide the solution framework, which is based on the grey wolf optimizer (GWO) and returns the optimal user association table. Finally, we present comparative simulation results, which validate the superiority of the proposed framework against the commonly-used particle swarm optimizer (PSO) approach.},
 bibtype = {inproceedings},
 author = {Boulogeorgos, Alexandros Apostolos A. and Goudos, Sotirios K. and Alexiou, Angeliki},
 doi = {10.1109/SPAWC.2018.8445950},
 booktitle = {IEEE Workshop on Signal Processing Advances in Wireless Communications, SPAWC}
}

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