@inbook{6d12a26540fb47f9bc64641630054ed0,
title = "Autonomic TDD link optimising using hybrid wireless network and genetic algorithms",
abstract = "In this paper we present autonomic resource scheduling based on genetic algorithms embedded in autonomic element scheduling optimisation in hybrid TDD based wireless networks. A hybrid wireless network scenario, which utilises a mixture of cellular and ad-hoc multi-hop routing, and alleviates individual base station from extra traffic burden, is presented. TDD uplink and downlink asymmetric traffic is arranged or rearranged by {"}Autonomic Distributed Base Stations{"} using a computational intelligence algorithm to evaluate our previously proposed autonomic communications infrastructure. Our experiments indicate that a hybrid wireless structure has the potential for increasing system throughput while reducing centralised control overhead and end-to-end delay. The results also show that genetic scheduling is able to further organise and optimise packet sequences thereby allowing the implementation of autonomic element concepts in TDD radio resource management.",
author = "Chong Shen and Dirk Pesch and James Irvine",
note = "Publisher Copyright: {\textcopyright} 2005 IEEE.; 62nd Vehicular Technology Conference, VTC 2005 ; Conference date: 25-09-2005 Through 28-09-2005",
year = "2005",
doi = "10.1109/VETECF.2005.1557512",
language = "English",
series = "IEEE Vehicular Technology Conference",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "262--266",
booktitle = "VTC 2005-Fall",
address = "United States",
}