Modified isotropic orthogonal transform algorithm-universal filtered multicarrier transceiver for 5G cognitive radio application

Abstract

Rapid developments in modern wireless communication permit the trade of spectrum scarcity. Higher data rate and wider bandwidth emerge the development in growing demand of wireless communication system. The innovative solution for the spectrum scarcity is cognitive radio (CR). Cognitive radio is the significant technology used to utilize the spectrum effectively. The important aspect of CR is sensing the spectrum band and detects the presence or absence of the primary user in the licensed band. Moreover, another serious issue in next generation (5G) wireless communication is to decide the less complex 5G waveform candidate for achieving higher data rate, low latency and better spectral efficiency. Universal filtered multi-carrier (UFMC) is one of the noticeable waveform candidates for 5G and its applications. In this article, we investigate the spectrum sensing methods in multi-carrier transmission for cognitive radio network applications. Especially, we integrate the sensing algorithm into UFMC transceiver to analyze the spectral efficiency, higher data rates and system complexity. Through the simulation results, we prove that the UFMC based cognitive radio applications outperform the existing Orthogonal Frequency Division Multiplexing (OFDM) based CR applications.

Pedestrian mobility management for heterogeneous networks

“…To address this issue, significant improvements in the spectral efficiency, robustness, and performance of wireless devices have been achieved through technological and regulatory innovations. Many regulatory agencies around the world have investigated the problems of spectrum scarcity [1]- [5], showing that the demand for spectrum will increase significantly, and pointing out that the major problem is not an insufficient spectrum, but inefficient use of spectrum. On the other hand, to ensure seamless connectivity and access to ubiquitous mobile services, switching from one network to another, is done through an efficient handover mechanism [6]- [13].…”

“…In a heterogeneous environment [4], [8], [10], [13]- [18] involving several static and dynamic parameters, the network selection decision is a critical component and represents a difficult task to make the handover decision for any mobile user. However, A robust solution to the problem of inefficient spectrum use and handover decision-making is cognitive radio technology [1]- [5]. Since cognitive radio can coexist with existing licensed primary users, effective protocols are needed to perform spectrum detection and allocation of an unused spectrum between secondary users.…”