Underlay Control Signaling for Ultra-Reliable Low-Latency IoT Communications

Abstract

Future mobile networks not only envision enhancing the traditional link quality and data rates of mobile broad band (MBB) links, but also development of new control channels to meet the requirements of delay sensitive use cases. In particular, the need for ultra-reliable low-latency communications (URLLC) for many internet of things (IoT) users is greatly emphasized. In this paper, we present a novel spread spectrum waveform design that we propose for transmission of control signals to establish URLLC communications. These control signals are transmitted over the spectral resources that belong to the MBB communications in the network, but at a level that minimally affects these data channels. The proposed waveform, although a direct sequence spread spectrum (DSSS) technique, is designed to take advantage of symbol synchronization available to the OFDM broad band communications in the network. This allows simple synchronization with the rest of the network. The proposed DSSS method can transmit single and multiple bits within each OFDM time frame and can serve many user equipment (UE) nodes simultaneously.

Adaptive Joint Lossy Source-Channel Coding for Multihop IoT Networks

“…Wireless Communications and Mobile Computing next IoT paradigms [30]. In this context, the joint use of lossy compression and error correction coding is a key approach to deal with the twofold requirements, i.e., energy and reliability.…”

CP-DSSS: An OFDM Compatible Variable Rate Modulation for 5G and Beyond

“…Cyclic prefix direct sequence spread spectrum (CP-DSSS) is a novel spread spectrum waveform that has been recently proposed [1]- [6] and has the potential of solving some of the key objectives of ultra-reliable low latency communications (URLLC) and massive machine type communications (mMTC) that have been noted in 5G NR but reliable solutions to them still to be explored/found.…”

“…In [1] and [2], CP-DSSS was introduced as a secondary signaling method for sending a small number of control bits within each OFDM symbol interval concurrent with other communication signals within the network to enable resource allocation for URLLC communications. In [3], the feasibility of this signaling method in a 3GPP proposed industrial setting was explored and its reliable performance was further confirmed.…”

A game-theoretic learning approach to QoE-driven resource allocation scheme in 5G-enabled IoT

“…Recently, the research on improving QoE of IoT SOs has attracted more and more attention [20][21][22]. Aminjavaheri et al [20] presented an underlay control signaling method for ultra-reliable low-latency communication applications in an LTE network and analyzed its performance.…”

“…Recently, the research on improving QoE of IoT SOs has attracted more and more attention [20][21][22]. Aminjavaheri et al [20] presented an underlay control signaling method for ultra-reliable low-latency communication applications in an LTE network and analyzed its performance. Since the satisfaction of QoE becomes the major challenge in content-centric IoT, the authors in [21] have analyzed lots of factors, i.e., content popularity and weight factor, which impact the resource allocation and how they subsequently influence the QoE.…”