This article describes one of many possible paradigms for future wireless applications. The spectrum in which Wi-Fi operates these days is overcrowded and currently applied rules for Wi-Fi operation are not up-to-date. By adopting a new set of rules for Wi-Fi, it is possible to eliminate some of the currently defined constraints such as Equivalent…
Category: M.TECH NETWORKING OMNET++ PROJECTS
Dynamic Heterogeneous Learning Games for Opportunistic Access in LTE-Based Macro/Femtocell Deployments
Interference is one of the most limiting factors when trying to achieve high spectral efficiency in the deployment of heterogeneous networks (HNs). In this paper, the HN is modeled as a layer of closed-access LTE femtocells (FCs) overlaid upon an LTE radio access network. Within the context of dynamic learning games, this work proposes a novel heterogeneous multiobjective fully distributed…
Unified approach for performance analysis of Cognitive Radio Spectrum Sensing over correlated multipath fading channels
In this work, we analyse the performance of Cognitive Radio Spectrum Sensing (CRSS) systems with multiple receiving antennas considering the effect of correlation among fading branches. Exact closed-form expressions for the average detection probabilities (P̅D) are derived employing Probability Density Functions (PDF) approach for n.i.i.d.-L number of diversity branches over Nakagami-m fading channels with Maximal Ratio Combining (MRC)…
Implementing Packet Transfer in Wireless Networks Using PyGame
Cloud environment on wireless networks is a combination of cloud and mobile technologies. The goal is to support mobile applications more efficient way to utilize bandwidth, energy consumption, hardware utilization, and cost. Cloud is a virtualization concept (borrowed from the virtual machine environment introduced in 1970’s) in wireless communications to utilize the resources efficiently and provide the…
Sensor Selection and Optimal Energy Detection Threshold for Efficient Cooperative Spectrum Sensing
In this paper, an energy-efficient scheme is proposed for cooperative spectrum sensing in cognitivesensor networks. In our scheme, we introduce a technique to select the sensing nodes and to set energy detection threshold so that energy saving can be accomplished in the nodes. Our objective is to minimize the energy consumed in distributed sensing subject to constraints…