@inproceedings{f771d9c4c57d4a9ab511494eaf27563f,
title = "Resource allocation in LTE-based MIMO systems with carrier aggregation",
abstract = "Resource Allocation (RA) is one of the crucial elements in Long Term Evolution (LTE) networks, which has a tremendous impact on the network performance. However, complexity of the RA problem increases when both Carrier Aggregation (CA) and Multiple-Input Multiple-Output (MIMO) are enabled in the network. CA is a key functionality for LTE-Advanced (LTE-A) that enables Mobile Network Operators (MNOs) to create large virtual carrier bandwidths for data hungry applications by aggregating available Component Carriers (CCs). In this paper, Resource Block (RB), Secondary CC (SCC), MIMO Transmission Mode (TM), and Modulation and Coding Scheme (MCS) selection is formulated jointly as an Integer Linear Programming (ILP). We prove that intractable integrality of the optimisation problem can be removed and relaxed to the Linear Programming (LP). Solving the LP obtains an optimal solution for the original ILP.",
keywords = "Carrier aggregation, MIMO, Resource allocation",
author = "Soheil Rostami and Kamran Arshad and Predrag Rapajic",
note = "Publisher Copyright: {\textcopyright} 2016 IEEE.; 84th IEEE Vehicular Technology Conference, VTC Fall 2016 ; Conference date: 18-09-2016 Through 21-09-2016",
year = "2016",
month = jul,
day = "2",
doi = "10.1109/VTCFall.2016.7881200",
language = "English",
series = "IEEE Vehicular Technology Conference",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
booktitle = "2016 IEEE 84th Vehicular Technology Conference, VTC Fall 2016 - Proceedings",
address = "United States",
}