Spatial Reuse in Dense Wireless Areas: A Cross-layer Optimization Approach via ADMM

TL;DR

This paper presents a cross-layer optimization framework using ADMM for efficient spectrum reuse and resource allocation in dense wireless networks with a common destination, improving performance over traditional layered approaches.

Contribution

It introduces a novel joint routing and resource allocation method leveraging ADMM for distributed optimization in dense wireless scenarios.

Findings

Enhanced spectrum reuse in dense networks

Distributed optimization reduces complexity

Outperforms conventional layered approaches

Abstract

This paper introduces an efficient method for communication resource use in dense wireless areas where all nodes must communicate with a common destination node. The proposed method groups nodes based on their \newt{distance from the destination} and creates a structured multi-hop configuration in which each group can relay its neighbor's data. \newt{The large number of active radio nodes and the common direction of communication toward a single destination are exploited to reuse the limited spectrum resources in spatially separated groups}. Spectrum allocation constraints among groups are then embedded in a joint routing and resource allocation framework to optimize the route and amount of resources allocated to each node. \newt{The solution to this problem uses coordination among the lower-layers of the wireless-network protocol stack to outperform conventional approaches where these layers are decoupled. Furthermore, the structure of this problem is exploited to obtain} a semi-distributed optimization algorithm based on the alternating direction method of multipliers (ADMM) where each node can optimize its resources independently based on local channel information.