Current Trends and Research Challenges in Spectrum-Sensing for Cognitive Radios
Journal Title: International Journal of Advanced Computer Science & Applications - Year 2016, Vol 7, Issue 7
Abstract
The ever increasing demand of wireless communication systems has led to search of suitable spectrum bands for transmission of data. The research in the past has revealed that radio spectrum is under-utilized in most of the scenarios. This prompted the scientist to seek a solution to utilize the spectrum efficiently. Cognitive Radios provided an answer to the problem by sensing the idle (licensed) bands and allowing (secondary) users to transmit in these idle spaces. Spectrum sensing forms the main block of cognition cycle. This paper reviews the current trends in research in the domain of spectrum sensing. The author describes the type of channel being modelled, diversity combining schemes used, optimal algorithms applied at fusion centre, spectrum sensing techniques employed. Further, the research challenges are discussed. It is presented that various attributes like sensing time, throughput, rate reliability, optimum cooperative users, sensing frequency etc. needs to be addressed. A trade-off needs to be established to optimize two opposing parameters like sensing and throughput.
Authors and Affiliations
Roopali Garg, Nitin Saluja
Keywords
Related Articles
- EP ID EP159564
- DOI 10.14569/IJACSA.2016.070756
- Views 93
- Downloads 0
Internet Forensics Framework Based-on Clustering
Internet network attacks are complicated and worth studying. The attacks include Denial of Service (DoS). DoS attacks that exploit vulnerabilities found in operating systems, network services and applications. Indicators...
Human Related-Health Actions Detection using Android Camera based on TensorFlow Object Detection API
A new method to detect human health-related actions (HHRA) from a video sequence using an Android camera. The Android platform works not only to capture video images through its camera, but also to detect emergency actio...
Adaptive e-learning using Genetic Algorithm and Sentiments Analysis in a Big Data System
In this article we describe our adaptive e-learning system, which allows the learner to take courses adapted to his profile and to the pedagogical objectives set by the teacher, we use for adaptation the genetic algorith...
Intelligent Collaborative Quality Assurance System for Wind Turbine Supply Chain Management
To determine the root causes or sources of variance of bad quality in supply chains is usually more difficult because multiple parties are involved in the current global manufacturing environment. Each component within a...
A Novel Method for Measuring the Performance of Software Project Managers
This paper is focused on providing a novel method for measuring the performance of software project managers. It clarifies the fundamental concepts of software project management, knowledge areas, life cycle phases of so...