Abstract
In this article we present the major challenges of future machine-to-machine (M2M) cellular networks such as spectrum scarcity, and support for a large number of low-power, lowcost devices. As an integral part of the future Internet-of-Things (IoT), the true vision of M2M communications cannot be reached with conventional solutions that are typically cost inefficient. The cognitive radio concept has emerged to address spectrum under-utilization and scarcity. The heterogeneous network model is another alternative to relax the number of covered users. To this extent, we present a complete fundamental understanding and the engineering details of cognitive radios, the heterogeneous network model, and power and cost challenges in the context of future M2M cellular networks.
Original language | English (US) |
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Article number | 7263368 |
Pages (from-to) | 18-24 |
Number of pages | 7 |
Journal | IEEE Communications Magazine |
Volume | 53 |
Issue number | 9 |
DOIs | |
State | Published - Sep 2015 |
Keywords
- Cellular networks
- Complexity theory
- Heterogeneous networks
- IEEE 802.11 Standard
- Internet of things
- Machine-to-machine communications
- Magnetic heads
- Wireless communication
ASJC Scopus subject areas
- Computer Science Applications
- Computer Networks and Communications
- Electrical and Electronic Engineering