Joint Optimization of Area Spectral Efficiency and Delay Over PPP Interfered Ad-hoc Networks

TL;DR

This paper proposes a joint optimization framework for maximizing area spectral efficiency and minimizing delay in PPP-interfered ad-hoc networks, demonstrating significant performance improvements through a new utility-based approach.

Contribution

It introduces a novel utility function combining ASE and delay, and derives optimal transmission parameters for interference-limited ad-hoc networks.

Findings

Joint optimization improves network performance significantly.

Optimal parameters maximize ASE while minimizing delay.

Numerical results confirm the effectiveness of the proposed approach.

Abstract

Due to the increasing demand on user data rates, future wireless communication networks require higher spectral efficiency. To reach higher spectral efficiencies, wireless network technologies collaborate and construct a seamless interconnection between multiple tiers of architectures at the cost of increased co-channel interference. To evaluate the performance of the co-channel transmission based communication, we propose a new metric for area spectral efficiency (ASE) of interference limited Ad-hoc network by assuming that the nodes are randomly distributed according to a Poisson point processes (PPP). We introduce a utility function, U = ASE/delay and derive the optimal ALOHA transmission probability p and the SIR threshold \tau that jointly maximize the ASE and minimize the local delay. Finally numerical results has been conducted to confirm that the joint optimization based on the U metric achieves a significant performance gain compared to conventional systems.