@inproceedings{790f9065912f480d8a9059195f012668,
title = "Performance evaluation of genetic algorithms for resource scheduling in TLE uplink",
abstract = "Single Carrier Frequency Division Multiple Access (SC-FDMA) is used for uplink data transmission in Long Term Evolution (LTE) systems. SC-FDMA requires contiguous resource blocks (RBs) allocation for each user, which challenges the uplink resource allocation in LTE. The contiguity constraint turns the allocation problem into a non-convex optimization problem. The optimal solution is achieved by solving a binary integer programming (BIP) problem which is computationally-expensive. In this work, we propose a genetic algorithm that is able to solve the resource allocation problem in the LTE uplink. The proposed algorithm maintains all the system constraints and provides a solution with lower complexity compared with the optimal solution. The proposed GA is evaluated and compared with the optimal approach in terms of efficiency and time complexity.",
author = "M. Kalil and J. Samarabandu and A. Shami and A. Al-Dweik",
note = "Publisher Copyright: {\textcopyright} 2014 IEEE.; 10th International Wireless Communications and Mobile Computing Conference, IWCMC 2014 ; Conference date: 04-08-2014 Through 08-08-2014",
year = "2014",
month = sep,
day = "22",
doi = "10.1109/IWCMC.2014.6906483",
language = "British English",
series = "IWCMC 2014 - 10th International Wireless Communications and Mobile Computing Conference",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "948--952",
booktitle = "IWCMC 2014 - 10th International Wireless Communications and Mobile Computing Conference",
address = "United States",
}