Dynamic Joint Uplink and Downlink Optimization for Uplink and Downlink Decoupling-Enabled 5G Heterogeneous Networks

TL;DR

This paper introduces a joint uplink and downlink optimization algorithm for 5G heterogeneous networks with decoupled access, improving resource allocation and quality of service through a three-step fixed point approach.

Contribution

It develops a novel three-step optimization algorithm for joint uplink and downlink resource management in DeUD-enabled 5G networks, enhancing QoS and resource efficiency.

Findings

Outperforms conventional proportional fairness schemes

Effective in real-world network simulations

Improves QoS satisfaction levels

Abstract

The concept of user-centric and personalized service in the fifth generation (5G) mobile networks encourages technical solutions such as dynamic asymmetric uplink/downlink resource allocation and elastic association of cells to users with decoupled uplink and downlink (DeUD) access. In this paper we develop a joint uplink and downlink optimization algorithm for DeUD-enabled wireless networks for adaptive joint uplink and downlink bandwidth allocation and power control, under different link association policies. Based on a general model of inter-cell interference, we propose a three-step optimization algorithm to jointly optimize the uplink and downlink bandwidth allocation and power control, using the fixed point approach for nonlinear operators with or without monotonicity, to maximize the minimum level of quality of service satisfaction per link, subjected to a general class of resource (power and bandwidth) constraints. We present numerical results illustrating the theoretical findings for network simulator in a real-world setting, and show the advantage of our solution compared to the conventional proportional fairness resource allocation schemes in both the coupled uplink and downlink (CoUD) access and the novel link association schemes in DeUD.