Cross-Tier Interference Avoidance Prioritized Dynamic Resource Allocation Algorithm in Coexistence of MTC and LTEA Networks

Abstract

Internet of Things (IoT) is a developing perspective which provides accessibility as well as connectivity of smart
objects which enclose people at daily activities, like various methods of sensors, vehicle-to-vehicle communication, health care
devices, RFID and NFC tags, etc. There are high expectations for IoT devices and networks concerning reliability, performance,
quality, and long-term availability. Indeed, wireless connectivity is the most critical success factor for the IoT era. The demand
for machine type communication (MTC) is increasing, so that the challenge for allocating resource blocks for users has also
increased. The patented nature of existing hardware devices cost of contribution space as well as energy for a variation of
intermediate boxes, as well as lack of trained executive to combine as well as continue this service is difficult. To maintain the
Quality of Service (QoS) requirements for H2H communication and to provide data traffic for MTC networks, LTE faces a serious
challenge for allocating the resources blocks to the users. A Cross-Tier Interference Avoidance Prioritized Dynamic Resource
Allocation algorithm is presented in this work for optimizing the problems faced by critical MTC and H2H communication
networks by maintaining the QoS requirements from a cross-layer design perspective. The resource allocation problem for
different combinations of Channel Quality Indicator (CQI) modes is performed and the computational complexity is measured in
terms of cell throughput and probability of delay bound violation (PBDV). Finally, the performance of the proposed scheduling
algorithm is evaluated via numerical analysis.