- author = "David Lynch and Takfarinas Saber and Stepan Kucera and Holger Claussen and Michael O'Neill",
- title = "Evolutionary Learning of Link Allocation Algorithms for {5G} Heterogeneous Wireless Communications Networks",
- booktitle = "GECCO '19: Proceedings of the Genetic and Evolutionary Computation Conference",
- year = "2019",
- editor = "Manuel Lopez-Ibanez and Thomas Stuetzle and Anne Auger and Petr Posik and Leslie {Peprez Caceres} and Andrew M. Sutton and Nadarajen Veerapen and Christine Solnon and Andries Engelbrecht and Stephane Doncieux and Sebastian Risi and Penousal Machado and Vanessa Volz and Christian Blum and Francisco Chicano and Bing Xue and Jean-Baptiste Mouret and Arnaud Liefooghe and Jonathan Fieldsend and Jose Antonio Lozano and Dirk Arnold and Gabriela Ochoa and Tian-Li Yu and Holger Hoos and Yaochu Jin and Ting Hu and Miguel Nicolau and Robin Purshouse and Thomas Baeck and Justyna Petke and Giuliano Antoniol and Johannes Lengler and Per Kristian Lehre",
- isbn13 = "978-1-4503-6111-8",
- pages = "1258--1265",
- address = "Prague, Czech Republic",
-
DOI = "
doi:10.1145/3321707.3321853",
- publisher = "ACM",
- publisher_address = "New York, NY, USA",
- month = "13-17 " # jul,
- organisation = "SIGEVO",
- keywords = "genetic algorithms, genetic programming, Link Allocation, Scheduling, 5G",
- size = "8 pages",
-
abstract = "Wireless communications networks are operating at
breaking point during an era of relentless traffic
growth. Network operators must use scarce and expensive
wireless spectrum efficiently in order to satisfy
demand. Spectrum on the links between cells and user
equipments (users: smartphones, tablets, etc.)
frequently becomes congested. Capacity can be increased
by transmitting data packets via multiple links.
Packets can be routed through multiple Long Term
Evolution (LTE) links in existing fourth generation
(4G) networks. In future 5G deployments, users will be
equipped to receive packets over LTE, WiFi, and
millimetre wave links simultaneously.
How can we allocate spectrum on links, so that all customers experience an acceptable quality of service? Building effective schedulers for link allocation requires considerable human expertise. We automate the design process through the novel application of evolutionary algorithms. Evolved schedulers boost downlink rates by over 150percent for the worst-performing users, relative to a single-link baseline. The proposed techniques significantly outperform a benchmark algorithm from the literature. The experiments illustrate the promise of evolutionary algorithms as a paradigm for managing 5G software-defined wireless communications networks.",
- notes = "Also known as \cite{3321853} GECCO-2019 A Recombination of the 28th International Conference on Genetic Algorithms (ICGA) and the 24th Annual Genetic Programming Conference (GP)",
