Economic model for routing and spectrum management in cognitive wireless mesh network

Abstract

In cognitive radio networks (CRNs), unlicensed users (secondary users-SUs) lease free spectrum with quality of service (QoS) guarantees from a multitude of spectrum owners (primary users, PUs) based on service level agreements (SLA). Free spectrum is used to establish the links of secondary network. The amount of leased spectrum influences the admitted number of SU's requests, PUs' profits, and the cost of renting spectrum. Hence, the PU can maximise its profit by adapting its resources to the changes in the traffic load and SLA costs conditions. We propose a novel approach that maximizes PU's profit using economic model. Our economic model integrates the network routing with the adaptation of the capacity of secondary network links. For SUs, QoS should be maintained while adapting the secondary network capacity. Our adaptation scheme is based on the profit maximisation. The Markov decision process (MDP) is used to derive the adaption scheme. Numerical results show the ability of the proposed scheme to attain the optimal profit under different conditions and constraints.

Optimizing Spectrum Sharing in Wireless Mesh Network Using Cognitive Technology

“…The learning algorithms are applied to tune the value of transmission probability to balance the channel idle time Optimizing Spectrum Sharing in Wireless Mesh Network Using… and collision costs due to the fact that both the PU and the SUs are sharing the same wireless channel. The authors in Alsarhan et al [3,4] propose a new approach for utilizing the unused spectrum. The new scheme merges three techniques for accessing the spectrum as one combined system.…”

“…Using this framework a PU can sell access to its unused or under-utilized spectrum resources in the form of certain fine-grained spectrum-space-time unit. PUs lease free spectrum for SUs with QoS guarantees in [3,4]. Free spectrum is used to establish the links of secondary network.…”

A New Spectrum Management Scheme for Road Safety in Smart Cities

“…Indeed, vehicles do not suffer from resource limitation constraints. Modern vehicles are equipped with small, low-cost devices that can sense the events taking place on the road and exchange data wirelessly [1][2][3][4][5]. In order to reduce traffic congestion, vehicles need to exchange road status that includes changes in traffic patterns and unforeseen obstacles such as accidents, road blocks, and traffic jams.…”

“…Using traffic information, drivers can plan their routes, and driving speeds. However, adding these services will create a spectrum burden into the well-known scarcity problem in wireless technology [5][6][7][8]. To deal with this problem, many countries allow users to access the unused spectrum provided that they pay for the usage.…”

“…These problems can be alleviated by using Wireless Mesh Networks (WMNs) which are proposed to extend networking services in personal, local, campus, and metropolitan areas. They provide cost effective communication, the same network capacity, reliability and performance as the wired network with the added advantages of flexibility and mobility for the users [5].…”