2015/06/20 by Abdelmohsen Ali, Ali, Abdelmohsen, Walaa Hamouda +3 · 1 citation
Computer Science · Engineering · Mathematics · #Advanced MIMO Systems Optimization #Cognitive Radio Networks and Spectrum Sensing #Energy Harvesting in Wireless Networks #FOS: Computer and information sciences #Information Theory (cs.IT) #Networking and Internet Architecture (cs.NI) #cs.IT #cs.NI #math.IT
paper · pdf · doi:10.48550/arxiv.1506.06216
arxiv created 2015/06/20 · openalex publication_date 2015/06/20 · arxiv updated 2015/06/23 · openalex created_date 2022/10/06 · openalex updated_date 2026/07/28
In this article, we present the major challenges of future machine-to-machine (M2M) cellular networks such as spectrum scarcity problem, support for low-power, low-cost, and numerous number of devices. As being 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. Cognitive radio concept has emerged to significantly tackle the spectrum under-utilization or scarcity problem. Heterogeneous network model is another alternative to relax the number of covered users. To this extent, we present a complete fundamental understanding and engineering knowledge of cognitive radios, heterogeneous network model, and power and cost challenges in the context of future M2M cellular networks.