Interference resilient stochastic prediction based dynamic resource allocation model for cognitive MANETs

K Shashi Raj

doi:10.17485/ijst/v13i41.687

Abstract

Background/Objectives: Being dynamic in nature, Mobile Ad-hoc Network (MANET) requires robust resource allocation strategy that can ensure both optimal transmission reliability and resource efficiency to meet Quality of Service (QoS) demands. The objective of this research is to address interference resilience requirement in MANETs which is must due to greedy nature of nodes especially when accessing resource or bandwidth and develop a highly robust stochastic prediction based resource allocation strategy. Methods: The proposed Interference Resilient Stochastic Prediction based Dynamic Resource Allocation model for Cognitive MANET (ISP-DRACM) intends to enable optimal resource allocation under interweave and underlay network setup with instantaneous as well as average interference conditions. It employs a joint power management and resource allocation strategy where it intends to maximize the weighted sum-rate of the secondary users under certain defined conditions like average power and stochastic interference level. Findings/Novelty: Inculcating resource allocation problem as controlled Markov Decision Process using Hidden Markov Model (HMM) and Lagrange relaxation, our proposed model achieves better resource allocation under limited noise or interference condition and hence achieves both costeffectiveness as well as QoS provision. This method has exhibited satisfactory performance towards spectrum allocation to the secondary users without imposing any significant interference for both interweave as well as underlay Cognitive Radio setup. Keywords: Cognitive mobile ad-hoc network; stochastic prediction; interference resilience; channel state information; dynamic resource allocation; underlay and overlay cognitive MANET

Highlights

In the last few years, the use of Mobile Ad-hoc Network (MANET) has increased significantly due to its adaptability towards mobile-communication, low-latency routing decision ability and operating characteristics within unlicensed spectrum bands
The predominant emphasis was made on designing a robust interference resilient dynamic resource allocation strategy for Cognitive Radio (CR)-based MANETs
Realizing the dynamic topology and opportunistic resource demand nature of CR-based MANET which can be of both interweave and underlay types, the proposed model intended to maintain high weight sum rate for secondary user (SUs) while maintaining interference and noise lower than a defined threshold

Summary

Introduction

In the last few years, the use of MANETs has increased significantly due to its adaptability towards mobile-communication, low-latency routing decision ability and operating characteristics within unlicensed spectrum bands. The existing unlicensed spectrum is getting overcrowded day by day, violating QoS delivery over the network To alleviate such issues the concept of Cognitive Radio Network (CRN) is found more viable that can enable Dynamic Spectrum Access (DSA) over dense and dynamic mobile-network conditions. It makes CRN to undergo interference causing QoS violation to the PUs in MANET It can cause uncontrollable interference causing packet drop and exceedingly high energy-exhaustion in MANETs. enabling optimal resource access and energyefficient routing is must to retain maximum data transmission with minimum interference and drop probability(1). Enabling optimal resource access and energyefficient routing is must to retain maximum data transmission with minimum interference and drop probability(1) It can be achieved by timely spectrum sensing, resource allocation and transmission. Nodes in CRNs sense the availability of licensed spectrum or allied channels with PUs and performs resource scheduling to access the idle spectrum when needed (1–4)

Objectives

Results

Conclusion