Resource Allocation in Co-Operative Relay Networks for IOT Driven Broadband Multimedia Services

Abstract

The cellular Internet of Things (IOT) in its first release which was published in 3GPP Rel.2 has features like longer battery life, low cost of devices, provides additional coverage enhancements. The cellular IOT has additional features of great deal of flexibility like downlink messages, software up gradation in the move and transmission of bigger data. In this context increasing capacity with finite power requirement becomes desirable for achieving the standard system performance, in broadband multimedia services. In this chapter, we introduce a novel approach for optimal resource allocation for Multiple-Input-Multiple-Output (MIMO) system deployed with relay nodes (RNs) for users residing at cell edges. In the proposed model Equal Transmit Power allocation when Channel State Information (CSI) is not known and Adaptive transmit power when CSI is known at transmitter has been used. The resource allocation problem considers the maximization of entropy on the direct link in order to maximize the information rate and hence capacity. The main objective is to allocate the resources to the users optimally for better Quality of services on both access and relay link. The KKT condition has been used for solving classical convex optimization problem on both the links. The optimal values derived prove that proposed allocation result in water filling phenomenon for capacity improvement on both relay and access link.