Wireless Resource Management and Resilience Optimization of the M2M‐Oriented Mobile Communication System

Abstract

Machine-to-machine (M2M) communication technology is an emerging technology that can connect smart wireless devices. The most obvious feature of M2M is that the communication between devices does not require human intervention. Therefore, ensuring the low-energy consumption of M2M devices is a necessary condition for prolonging the survival time of their devices. This paper first considers the coexistence of M2M and H2H scenarios. Aimed at the energy efficiency of M2M equipment and the channel capacity of H2H equipment, a multiobjective problem is constructed for joint spectrum and power resource management, and a weighted Chebyshev algorithm is proposed to solve this problem. Secondly, in view of the additional interference problems caused by the introduction of M2M communication, the intercell cooperative link selection algorithm is used to optimize its resilience. The effectiveness of the algorithm is proven by simulation results.

Toward a Secure 5G-Enabled Internet of Things: A Survey on Requirements, Privacy, Security, Challenges, and Opportunities

“…When data volume rises, latency increases, which increases delay, and necessitates the use of a faster network, such as 5G. Due to increasing latency, 4G LTE's efficacy is reduced [72].…”

“…To enable these systems, the wireless industrial internet needs to maintain broad and fine-grained coverages as well as context-aware connectivity and ML-enabled flexible network architecture [94]. 5G will be implemented in big urban areas initially, therefore IoT applications for streetlights and traffic lights are likely to be employed first [72]. When 5G is completely operational and covers the entire region, the smart city as a larger idea will be realized using a quicker 5G network where objects interact and make the best decisions and gadgets.…”