A joint modulation-coding scheme and resource allocation in LTE uplink
journal contributionposted on 2020-12-09, 14:57 authored by Amado 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.
Flood Prediction using real time sensing Emergency Water Information Networks over mobile phone networks and WiFi (EWIN)
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PROJECT SECTEI-CDMX: SECTEI/200/2019
- Mechanical, Electrical and Manufacturing Engineering