Interference-Aware Resource Control in Multi-Antenna Cognitive Ad Hoc Networks with Heterogeneous Delay Constraints

TL;DR

This paper proposes an interference-aware resource control scheme for multi-antenna cognitive ad hoc networks with heterogeneous delay constraints, utilizing adaptive zero-forcing beamforming and a cooperative feedback strategy to optimize resource usage.

Contribution

It introduces a joint feedback and power control algorithm that accounts for interference, delay, and resource constraints in multi-antenna cognitive ad hoc networks.

Findings

The proposed algorithm effectively minimizes resource costs.

Simulation results confirm the algorithm's efficiency.

Inter-network cooperation improves interference management.

Abstract

In this work, we consider a multi-antenna cognitive ad hoc network (CAHNet) with heterogeneous delay requirements. To fulfill the interference and delay constraints simultaneously, we propose to perform adaptive zero-forcing beamforming (ZFBF) at cognitive transmitters according to interference channel state information (CSI). To assist the CAHNet to obtain the interference CSI, we use a win-win inter-network cooperation strategy, namely quantized interference CSI feedback from the primary network to CAHNet through a feedback link, under the condition that the CAHNet pays a proper price for it. Considering the scarcity of feedback and power resources, we focus on the minimization of the overall resource cost subject to both interference and delay constraints. To solve the problem, we derive a joint feedback and power control algorithm amongst multiple links of CAHNet. Finally, simulation results validate the effectiveness of the proposed algorithm.