MAC Optimization Based on the Radio Resource Allocation in a 5G eMBB System Simulated in the MmWave Model

MAC Optimization Based on the Radio Resource Allocation in a 5G eMBB System Simulated in the MmWave Model

Ismail Angri, Abdellah Najid, Mohammed Mahfoudi
DOI: 10.4018/IJWNBT.2021070103
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Abstract

5G NR (new radio) systems support multiple use cases, namely enhanced mobile broadband (eMBB), ultra-reliable and low latency communications (URLLC), and massive machine-type communications (mMTC), to meet the needs of different types of applications. The multi users-downlink packet scheduling (MU-DLPS) is used for the 5G NR radio resource management (RRM). In this paper, the authors show that the radio resource scheduling algorithms, which have been applied to 4G, are also efficient and can be used in 5G networks. In this objective, the authors simulated scheduling schemes in a 5G eMBB environment. The algorithms were developed in C++ for the first time and were simulated using the mmWave model of the NS-3 simulator. Mobility scenarios with fixed and mobile nodes have been implemented. The comparison was made using python programs, newly and specifically developed for the data extraction. The results show that five strategies achieve remarkable values in terms of system throughput and downlink latency.
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Introduction

5G, called IMT-2020 (International Mobile Telecommunications) or also 5G NR (New Radio), the successor of 4G cellular systems, is there to break records and allow huge improvements in the services offered to users, but also to make things easier for operators.

IMT-2020 systems will support three types of scenarios, commonly called use cases. The first scenario is Enhanced Mobile Broadband (eMBB). This use case is dedicated to applications requiring very high transmission rates as well as high bandwidth and high user mobility. The bit rate must be maximum to satisfy real time services (Popovski et al., 2018).

Therefore, eMBB 5G system allows bandwidths of at least 100 MHz and up to 1 GHz, and could reach a Peak Data Rate of 20 Gb/s in Downlink (DL) and 10 Gb/s in Uplink (UL), with spectral efficiency of 15 bit/s/Hz in UL and 30 bit/s/Hz in DL. The new technology supports multiple user speeds up to 500 km/h with a mobility interruption time of 0ms (Popovski et al., 2018).

The second use case is Ultra-Reliable and Low Latency Communications (URLLC). As its name suggests, this scenario is used for applications with very critical response time constraints (Ji et al., 2018).

The third scenario is called the Massive Machine Type Communications (mMTC). This use case is dedicated to networks with a large number of connected devices. It examines the battery life of the objects transmitting massive traffic without delay conditions (Popovski et al., 2018).

The URLLC 5G system has latencies of 1ms in the User plane and 10ms in the Control plane, while an mMTC scenario may allow the connection density up to 1 million devices per km2 (Ji et al., 2018).

Table 1 shows the various improvements made to the 4G 3GPP Radio Access Network (RAN) by 5G technology (Shanzhi et al., 2015).

Table 1.
LTE and 5G parameters comparison
SpecificationsE-UTRAN5G NR
Radio frame duration10ms10ms
Number of slots in a frame2020
Maximum number of data subcarriers12001200
Number of RBs100 (maximum)Higher or equal to 100
TTI (Transmission Time Interval)1msFlexible (TTI = # of symbols * symbol length)
Subcarrier spacing15 kHzFlexible: 2n*15 kHz (where, n = 0, 1....,5)
Frequency bandsUnder 6 GHzUp to 100 GHz
Carrier bandwidth1.4/3/5/10/15/20 MHz Up to 100 MHz (Carrier aggregation)Variable:
• From 100 to 200 MHz (<6 GHz band)
• From 100 MHz to 1 GHz (> 6 GHz band)
BeamformingApplicable to certain transmission modesWith and without DL/UL reciprocity
ModulationUp to 256-QAMQPSK, 16-QAM, 64-QAM and 256-QAM
MIMO (Multiple-Input Multiple-Output)Up to 8X8Up to 8X8
Channel Coding SchemeTurbo coding for data• Control plan: NR Polar codes.
• User plan (Data): NR LDPC (low-density parity-check).

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