posted on 2020-12-09, 14:57authored byAmado Gutierrez, Victor Rangel, Javier Gomez, Robert EdwardsRobert Edwards, David H. Covarrubias
In Long Term Evolution (LTE) Resource
Allocation Algorithms (RAAs) are an area of work where
researchers are seeking to optimize the efficient use of scarce
radio resources. The selection of an optimal Modulation and
Coding Scheme (MCS) that allows LTE to adapt to channel
conditions is a second area of ongoing work. In the wireless
part of LTE, these two factors, RAA and MCS selection are the
most critical in optimization. In this paper, the performance of
three resource allocation schemes is compared, and a new
allocation scheme, Average MCS (AMCS) allocation, is
proposed. AMCS is seen to outperform both “Minimum MCS
(MMCS)” and “Average Signal to Interference and Noise Ratio
MCS (SINR AMCS)” in terms of improvements to LTE UL
performance. The three algorithms were implemented in the
Vienna LTE-A Uplink Simulator v1.5.
Funding
Flood Prediction using real time sensing Emergency Water Information Networks over mobile phone networks and WiFi (EWIN)
This is an Open Access Article. It is published by ELEKTRONIKA IR ELEKTROTECHNIKA under the Creative Commons Attribution 4.0 Unported Licence (CC BY). Full details of this licence are available at: http://creativecommons.org/licenses/by/4.0/