O. L. Alcaraz López, H. Alves, P. H. Juliano Nardelli and M. Latva-aho, "Aggregation and Resource Scheduling in Machine-Type Communication Networks: A Stochastic Geometry Approach," in IEEE Transactions on Wireless Communications, vol. 17, no. 7, pp. 4750-4765, July 2018. doi: 10.1109/TWC.2018.2830767
Aggregation and resource scheduling in machine-type communication networks : a stochastic geometry approach
|Author:||Alcaraz López, Onel L.1; Alves, Hirley1; Nardelli, Pedro H. J.2;|
1Centre for Wireless Communications (CWC), University of Oulu, Finland
2Laboratory of Control Engineering and Digital Systems, Lappeenranta University of Technology, Finland
|Online Access:||PDF Full Text (PDF, 0.6 MB)|
|Persistent link:|| http://urn.fi/urn:nbn:fi-fe2018082033785
Institute of Electrical and Electronics Engineers,
|Publish Date:|| 2018-08-20
Data aggregation is a promising approach to enable massive machine-type communication. This paper focuses on the aggregation phase where a massive number of machine-type devices (MTDs) transmit to aggregators. By using non-orthogonal multiple access (NOMA) principles, we allow several MTDs to share the same orthogonal channel in our proposed hybrid access scheme. We develop an analytical framework based on stochastic geometry to investigate the system performance in terms of average success probability and average number of simultaneously served MTDs, under imperfect successive interference cancellation (SIC) at the aggregators, for two scheduling schemes: random resource scheduling and channel-aware resource scheduling (CRS). We identify the power constraints on the MTDs sharing the same channel to attain a fair coexistence with purely orthogonal multiple access (OMA) setups. Then, power control coefficients are found, so that these MTDs perform with similar reliability. We show that under high access demand, the hybrid scheme with CRS outperforms the OMA setup by simultaneously serving more MTDs with reduced power consumption.
IEEE transactions on wireless communications
|Pages:||4750 - 4765|
|Type of Publication:||
A1 Journal article – refereed
|Field of Science:||
213 Electronic, automation and communications engineering, electronics
This work was supported in part by the Academy of Finland under Grant 303532 and Grant 307492, in part by SRC/Aka under Grant 292854, and in part by the Finnish Funding Agency for
Technology and Innovation (Tekes), Bittium Wireless, Keysight Technologies Finland, Kyynel, MediaTek Wireless, and Nokia Solutions and Networks.
|Academy of Finland Grant Number:||
292854 (Academy of Finland Funding decision)
303532 (Academy of Finland Funding decision)
307492 (Academy of Finland Funding decision)
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