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Energy-Efficient Short Packet Communications for Uplink NOMA-based Massive MTC Networks

Han, Shujun, Xu, Xiaodong, Liu, Zilong, Xiao, Pei, Moessner, Klaus, Tao, Xiaofeng and Zhang, Ping (2019) Energy-Efficient Short Packet Communications for Uplink NOMA-based Massive MTC Networks IEEE Transactions on Vehicular Technology.

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Abstract

The 5th generation (5G) mobile networks and beyond need to support massive machine-type communications (MTC) devices with limited available radio resources. In this paper, we study the power-domain non-orthogonal multiple access (NOMA) technology to support energy-efficient massive MTC networks, where MTC devices exchange information using sporadic and low-rate short packets. We investigate the subchannel allocation and power control policy to maximize the achievable effective energy efficiency (EE) for uplink NOMA-based massive MTC networks, taking into account of short-packet communication characteristics. We model the subchannel allocation problem as a multi-agent Markov decision process and propose an efficient Q-learning algorithm to solve it. Furthermore, we obtain the optimal transmission power policy by approximating the achievable effective rate of uplink NOMA-based short packet communications. Compared with the existing OFDMA scheme, simulations validate that the proposed scheme can improve the achievable effective EE of massive MTC networks with 5.93%.

Item Type: Article
Divisions : Faculty of Engineering and Physical Sciences > Electronic Engineering
Authors :
NameEmailORCID
Han, Shujun
Xu, Xiaodong
Liu, Zilongzilong.liu@surrey.ac.uk
Xiao, PeiP.Xiao@surrey.ac.uk
Moessner, KlausK.Moessner@surrey.ac.uk
Tao, Xiaofeng
Zhang, Ping
Date : 21 October 2019
Funders : Engineering and Physical Sciences Research Council (EPSRC)
DOI : 10.1109/TVT.2019.2948761
Uncontrolled Keywords : Massive MTC; NOMA; Short packet communication; Energy efficiency; Joint subchannel and power allocation
Depositing User : Clive Harris
Date Deposited : 08 Nov 2019 08:31
Last Modified : 08 Nov 2019 08:31
URI: http://epubs.surrey.ac.uk/id/eprint/853080

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