Abstract
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 Uplink (UL) performance. The three algorithms were implemented in the Vienna LTE-A Uplink Simulator v1.5.
Highlights
Scheduling algorithms for long term evolution (LTE) were not specified in the 3GPP standard and are, a matter for the suppliers
Since Orthogonal Frequency Division Multiplexing (OFDM) has a high peak to average power ratio (PAPR), it is considered unsuitable for the uplink in LTE, and single carrier-frequency division multiple access (SC-Frequency Division Multiple Access (FDMA)) [3] that has lower PAPR was used
The results presented in this paper prove that the best performance is achieved with values of SNR from 4 dB to 10 dB
Summary
Amado Gutierrez1, *, Victor Rangel, Javier Gomez, Robert M. Covarrubias3 1Engineering Faculty, National Autonomous University of Mexico, Building Q-Valdés Vallejo, CP. 04510, CDMX Mexico 25G Research Centre, Loughborough University, LE11 3TU, UK
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