Computational Complexity and Energy Consumption Analysis of Dynamic Resource Scheduling Algorithms for LTE

Abstract

This paper presents a detailed analysis of computational complexity, RF and operational energy consumption of a number of radio resource management strategies. Those scheduling algorithms are evaluated within a LTE downlink simulator and the results show that the adaptive scheduling algorithm is able to achieve a significant energy saving -up to average operational energy reduction gain of 71.75% and 47.86% over a conventional nonenergy aware resource allocation scheme in the pessimistic and optimistic case, respectively. In addition, the computational complexity of the algorithm is estimated, and the trade-off between RF and DSP processing for power efficiency is evaluated.

A Survey on LTE/LTE-A Radio Resource Allocation Techniques for Machine-to-Machine Communication for B5G Networks

“…The scheduling grant contains information about MCS, frame number, transmit power, and etc. If a U E i received scheduling grant in n nt frame, then the U E i can sends data in (n + 4) th frame over Physical Uplink Shared Channel (PUSCH) [102]- [106]. PUCCH and PUSCH are logical channels in the MAC layer, as shown in Fig.…”

“…For such cases, the energy efficiency of a UE can be increased with a lower data rate. In practice, the data-rate of radio-link between the UE and eNB is controlled by Modulation and Coding rate [106], [120], [121]. Fig.…”

“…These SR signals give information about the path gain and shadowing through the path between the UE and the eNB and used to calculate the Signal-to-Inference plus Noise Ratio (SINR), which is employed to make decisions about the MCS and transmit power requirement for the transmission. MCS affects the amount of information transmitted per transmission and the power consumption [73], [106]. The power-control for the PUCCH is defined as follows.…”