Distributed Algorithm for Resource Allocation in Uplink 5G Networks

Abstract

The fifth generation (5G) communication technologies are envisioned to provide higher data rates, excellent user-coverage, extremely low latency and power consumption. Such cellular networks will adopt a heterogeneous multi-tier architecture consisting of macrocells, device-to-device networks, and different types of small cells to serve users with required quality-of-service (QoS). This heterogeneous multi-tier architecture poses various research challenges such as resource allocation and interference management in 5G networks. The goal of our proposed distributed algorithm is to allocate the resources to the uplink transmitters which results in higher spectral efficiency and maximize the users' data rate. Our proposed scheme gives efficient (higher data rate) results than existing work, even in the complex multi-tier networks as pointed out in the simulation analysis section.