Cognitive Coexistence between Infrastructure and Ad-hoc Systems

TL;DR

This paper introduces a cognitive coexistence framework that leverages infrastructure systems' resources to reduce interference with ad-hoc wireless links through centralized resource allocation, sensing, and prediction.

Contribution

It presents a novel framework using Markov models and convex optimization for interference mitigation, extending to random channels and multi-terminal scenarios.

Findings

Infrastructure resources effectively reduce interference.

Optimal power and time allocation improve coexistence.

Framework adapts to random channels and multiple terminals.

Abstract

The rapid proliferation of wireless systems makes interference management more and more important. This paper presents a novel cognitive coexistence framework, which enables an infrastructure system to reduce interference to ad-hoc or peer-to-peer communication links in close proximity. Motivated by the superior resources of the infrastructure system, we study how its centralized resource allocation can accommodate the ad-hoc links based on sensing and predicting their interference patterns. Based on an ON/OFF continuous-time Markov chain model, the optimal allocation of power and transmission time is formulated as a convex optimization problem and closed-form solutions are derived. The optimal scheduling is extended to the case where the infrastructure channel is random and rate constraints need only be met in the long-term average. Finally, the multi-terminal case is addressed and the problem of optimal sub-channel allocation discussed. Numerical performance analysis illustrates that utilizing the superior flexibility of the infrastructure links can effectively mitigate interference.