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2019 | OriginalPaper | Buchkapitel

17. Random Access Versus Multiple Access

verfasst von : Riccardo De Gaudenzi, Oscar del Río Herrero, Stefano Cioni, Alberto Mengali

Erschienen in: Multiple Access Techniques for 5G Wireless Networks and Beyond

Verlag: Springer International Publishing

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Abstract

The support of Internet of Things (IoT) calls for physical and media access control (MAC) solutions capable to support a very large number of wireless devices transmitting short packets with low duty cycle. This chapter provides a survey of random access (RA) schemes devised for terrestrial and satellite applications which are suited to support IoT. The RA schemes presented are typically based on multiple access techniques described in the previous chapters. In particular, RA is exploiting time-, frequency-, and code-division multiple access techniques or combinations thereof. Various flavors of non-orthogonal multiple access (NOMA) are also adopted to increase the RA scheme spectral and power efficiency. The chapter is organized as follows: Sect. 17.1 summarizes the main terrestrial RA techniques and their suitability for 5G IoT applications; Sect. 17.2 provides a survey of 5G NOMA-based RA proposals for IoT; finally, Sect. 17.3 illustrates the most promising NOMA-based RA schemes proposed or adopted for satellite networks which are also of interest to the more general terrestrial wireless applications.

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Fußnoten
1
The low PLR operating point is justified by the need to avoid excessive and highly variable retransmission latencies in the satellite environment which is characterized by the very long propagation delays (in particular for satellite medium Earth orbit (MEO) and geostationary Earth orbit (GEO)), and to maximize the throughput of applications using upper-layer protocols such as the transmission control protocol (TCP) that is also highly sensitive to the packet losses [21, 22].
 
2
The LoRaWAN link layer is instead a relatively open standard with specifications available through the LoRa Alliance (https://​www.​lora-alliance.​org).
 
3
However, Authors practical implementation experience showed that packets incorrectly detected and subtracted can be removed in later SIC processing step. This represents a kind of SIC self-healing process.
 
4
In particular, it appears that the MUSA MMSE implementation through matrix inversion is limiting the spreading sequence length. Solutions like MMSE Enhanced Spread Spectrum ALOHA (ME-SSA) described in Sect. 17.3.2 are overcoming this issue with a much simpler MMSE multi-stage implementation.
 
5
For LDS-CDMA, the nonzero positions of a user signature vector are just filled with repetition of QPSK symbols, which is a more simple way to construct signature vectors.
 
6
The meaning of replicas in this context shall be understood as the number of same packet content physically repeated in the same frame.
 
7
Similar to the lognormal distribution, we define as loguniform a probability distribution uniformly distributed in the log domain. In the rest of this chapter, we will discuss loguniform distribution in the dB domain, limiting ourselves to the base-10 logarithm.
 
8
The effect of loops in performance is analyzed in detail in Sect. III from [83] for ACRDA and in Appendix D from [20] for CRDSA.
 
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Metadaten
Titel
Random Access Versus Multiple Access
verfasst von
Riccardo De Gaudenzi
Oscar del Río Herrero
Stefano Cioni
Alberto Mengali
Copyright-Jahr
2019
DOI
https://doi.org/10.1007/978-3-319-92090-0_17