Spectrum Sharing Etiquette Considering Primary User Activity Pattern in Dynamic TVWS via Cournot Game Theory

Television White Space (TVWS) networks only utilizes a licensed channel in the absence of a primary user network (PUN). Therefore, the performance of TVWS networks are greatly depended on activity pattern of PUN. In this paper, we address the problem of spectrum sharing in cognitive radio environment consisting of PUN and TVWS networks from the perspective of spectrum quality. We propose a self‐indicating distributive dynamic Cournot spectrum economic game using non‐cooperative game. To capture the dynamic parameter that characterizes dynamic TVWS, a differentiating parameter known as the Channel Instability Index (CII), β, was introduced to grade the leased PUN channel holding time (with consideration of the time‐varying radio attributes of the dynamic TVWS environment) and to enforce truthfulness in spectrum transactions. Based on the CII model, two possible scenarios were considered. Case I occurs if β = 0, which signifies stable PUN bandwidth and Case II, occurs if 0.1 ≤ β ≤ 0.9, which denotes an unstable PUN bandwidth spectrum. Based on our model, it was showed that utility and QoS measured in‐terms of probability of dropped packets of TVWS networks were increased by more than 15 % in any epoch with the key enabler as β

Design and optimisation of a low cost Cognitive Mesh Network

Wireless Mesh Networks (WMNs) have been touted as the most promising wireless technology in providing high-bandwidth Internet access to rural, remote and under-served areas, with relatively lower investment cost as compared to traditional access networks. WMNs structurally comprise of mesh routers and mesh clients. Furthermore, WMNs have an envisaged ability to provide a heterogeneous network system that integrates wireless technologies such as IEEE 802.22 WRAN, IEEE 802.16 WiMAX, IEEE 802.11 Wi-Fi, Blue-tooth etc. The recent proliferation of new devices on the market such as smart phones and, tablets, and the growing number of resource hungry applications has placed a serious strain on spectrum availability which gives rise to the spectrum scarcity problem. The spectrum scarcity problem essentially results in increased spectrum prices that hamper the growth and efficient performance of WMNs as well as subsequent transformation of WMN into the envisaged next generation networks. Recent developments in TV white space communications technology and the emergence of Cognitive radio devices that facilitate Dynamic Spectrum Access (DSA) have provided an opportunity to mitigate the spectrum scarcity problem. To solve the scarcity problem, this thesis reconsiders the classical Network Engineering (NE) and Traffic Engineering (TE) problems to objectively design a low cost Cognitive Mesh network that promotes efficient resources utilization and thereby achieve better Quality of Service (QoS) levels