Learning Hierarchical Resource Allocation and Multi-agent Coordination of 5G mobile IAB Nodes

by   Mohamed Sana, et al.

We consider a dynamic millimeter-wave network with integrated access and backhaul, where mobile relay nodes move to auto-reconfigure the wireless backhaul. Specifically, we focus on in-band relaying networks, which conduct access and backhaul links on the same frequency band with severe constraints on co-channel interference. In this context, we jointly study the complex problem of dynamic relay node positioning, user association, and backhaul capacity allocation. To address this problem, with limited complexity, we adopt a hierarchical multi-agent reinforcement with a two-level structure. A high-level policy dynamically coordinates mobile relay nodes, defining the backhaul configuration for a low-level policy, which jointly assigns user equipment to each relay and allocates the backhaul capacity accordingly. The resulting solution automatically adapts the access and backhaul network to changes in the number of users, the traffic distribution, and the variations of the channels. Numerical results show the effectiveness of our proposed solution in terms of convergence of the hierarchical learning procedure. It also provides a significant backhaul capacity and network sum-rate increase (up to 3.5x) compared to baseline approaches.


Exact Resource Allocation over Fair Wireless Relay Networks

In relay-enabled cellular networks, the intertwined nature of network ag...

Mobility-Aware Resource Allocation for mmWave IAB Networks: A Multi-Agent RL Approach

MmWaves have been envisioned as a promising direction to provide Gbps wi...

Dual-Band Fading Multiple Access Relay Channels

Relay cooperation and integrated microwave and millimeter-wave (mm-wave)...

Multi-Agent Reinforcement Learning for Adaptive User Association in Dynamic mmWave Networks

Network densification and millimeter-wave technologies are key enablers ...

Cacheable and Non-Cacheable Traffic Interplay in a Relay-Assisted Wireless Network

We study a discrete-time wireless network that serves both cacheable and...

Learning-Based Joint User-AP Association and Resource Allocation in Ultra Dense Network

With the advantages of Millimeter wave in wireless communication network...

Transferable and Distributed User Association Policies for 5G and Beyond Networks

We study the problem of user association, namely finding the optimal ass...

Please sign up or login with your details

Forgot password? Click here to reset