Showing papers by "Rapeepat Ratasuk published in 2017"

LTE-M Evolution Towards 5G Massive MTC

Abstract: Massive machine type communication (mMTC) has been identified as an important use case for 5G New Radio wireless technology In 4G Long-Term Evolution (LTE), 3GPP has previously introduced LTE-M for low-power, wide-area networks supporting the Internet of Things Rel-13 specifications for LTE-M were completed in 2016 Rel-14 enhancements were completed in 2017 while Rel-15 enhancements are ongoing and expected to be completed in 2018 In this paper, we provide an overview of LTE-M and describe its evolution in subsequent releases The features of the technology that have specifically been designed for mMTC are discussed In addition, we present evaluations of LTE-M against 5G performance targets and show that mMTC requirements can be satisfied by LTE-M To meet the 5G mMTC requirements, 3-dB power spectral density boosting is used in the downlink In addition, for some requirements, 4 receive antennas at the eNB are required instead of the more typical 2 receive antennas Thus, LTE-M will comprise an important component of 5G New Radio technology

Performance Analysis of Voice over LTE Using Low-Complexity eMTC Devices

Abstract: The Internet of Things (IoT) is expected to reach a massive scale in the next few years and LTE has introduced a feature in Rel-13 called eMTC to support wide-area connectivity for IoT devices. One important trend for IoT is the integration of voice capability into the devices. However, low-cost, low-complexity IoT User Equipment (UE) typically supports only half-duplex communication and low data rates. In this paper, we compare the performance and coverage of low-complexity eMTC UE with legacy non-eMTC UE for delay-sensitive Voice over LTE (VoLTE) service. It is shown that eMTC UE can provide similar coverage to non-eMTC UE using the same delay and block error rate requirements. If the delay budget or quality of service can be relaxed for eMTC, then eMTC can provide slightly better VoLTE coverage. This allows service operators to support voice capability for IoT devices using existing infrastructure footprint.

Investigation of Non-Orthogonal Multiple Access Techniques for Future Cellular Networks

Abstract: There is an expected explosion in the number of users which will be connected to future wireless networks with the continued expansion of the Internet of Things. New technologies are needed in order to keep up with this connectivity demand. Non-orthogonal multiple access (NOMA) is one technology which seeks to improve spectral efficiency and allow for more connected users. NOMA seeks to overload resources in order to allow more users to access the same time and frequency resource blocks. There have been various proposals on how to realize NOMA in the network, including power domain non-orthogonal multiple access (PD-NOMA), interleave division multiple access(IDMA), and sparse code multiple access (SCMA). This paper investigates these three proposals and simulates them in the uplink setting in order to analyze their performance and compare them. Advantages and disadvantages for each technique are discussed with an emphasis on practical considerations.