Maximizing Joint Data Rate and Resource Efficiency in D2DIoT Enabled MultiTier Networks The nextgeneration wireless network is expected to be highly dense with a large number of DevicetoDevice (D2D) communication enabled IoT devices in fog computing based cellular networks. The dense deployment of the heterogeneous network architecture is expected to fulfill the smart devicesxe2x80x99 growing data demand, lower power consumption, and lower latency constraint. The 5G technology is expected to have such multitier architecture with various computational capability and radio enabled IoT devices. However, the coexistence of such heterogeneous network model spawns research challenges such as interference management, nonuniform computational capacity with nonuniform devices connectivity and service deadline. Thus, in this paper, we propose a coexistence of D2DIoT (DIoT) and fog computing model in cellular networks and formulate the resource allocation problem in such a multitier architecture considering different kinds of interference, data rate, and latency altogether as an optimization problem and further propose a distributed manytomany stable matching based solution. Through extensive theoretical and simulation analysis, we have shown the effect of different parameters on the resource allocation objectives and achieve more than 94% of optimum network performance.

Performance Analysis of Paging Strategies and Data Delivery Approaches for Supporting GroupOriented IoT Traffic in 5G Networks The future Internet of Things (IoT) landscape includes not only lowlatency and lowpayload machinetype communications (MTC), but it is also expected to support the growing demand of multimedia data traffic to be communicated in smart environments. Emerging IoT use cases address the delivery of the same content from the network to a large number of devices. In such scenarios, PointtoMultipoint(PTM) technology is seen as an efficient enabler of massive IoT (mIoT) in downlink direction. In this paper, we review the capabilities of the cellularbased PTM solution and propose different paging and data delivery strategies with the aim to improve the energy and latency efficiency of grouporiented mIoT communications. The performance of the proposed solutions is evaluated through an extensive simulation campaign.