Maximizing Throughput with Wireless Spectrum Sensing Network Assisted Cognitive Radios

Abstract

In a cognitive radio network (CRN), secondary users (SUs) utilize primary users (PUs) licensed spectrum in an opportunistic manner. Spectrum sensing is of the utmost importance in CRN to find and use the available spectrum without harmful interference to the PUs. Conventionally, to implement spectrum utilization, SUs are required to sense the primary spectrum first and then transmit data on the available spectrum. In this paper, we propose a dedicated wireless spectrum sensing network (WSSN), eliminating sensing overhead from SUs with the aim of improving achievable throughput. With WSSN assistance, we eliminate sensing time from the SUs frame, hence increasing the transmission time, which maximizes the achievable throughput. Additionally, the sensing duration is increased by deploying a dedicated WSSN, decreasing the probability of false alarm and achieving a targeted high probability of detection. A low probability of false alarm increases the spectrum utilization, improving the achievable throughput, while a high detection probability ensures PUs protection. Moreover, the proposed technique also addresses hidden and exposed terminal problems along with smooth spectrum mobility. Finally, we provide simulation results to demonstrate the proposed techniques, effectiveness. In the results, we have compared the achievable throughput of the proposed scheme with that of conventional CRN.

SIMO Haberleşme Kanallarında Enerji Tabanlı İşbirlikli Spektrum Algılama

“…Genel olarak spektrum algılamada öncelikle alınan y(n) işareti ile, belirlenen bir test istatistiği eşik değeri ile karşılaştırılır. Bu durum matematiksel olarak aşağıdaki gibi ifade edilmektedir (Ahmad, Yang, & Lee, 2015).…”

“…Genel olarak spektrum algılamada öncelikle alınan y(n) işareti ile, belirlenen bir test istatistiği eşik değeri ile karşılaştırılır. Bu durum matematiksel olarak aşağıdaki gibi ifade edilmektedir(Ahmad, Yang, & Lee, 2015).Burada TED ve yi[n] sırsıyla EA tabanlı algılama için test istatistiğini ve i. BR kullanıcısının algıladığı işareti belirtmektedir. Böylece belirlenen spektrum bölgesinin dolu/boş olduğu Eşitlik 6 ile verilen yöntemle karar verilmektedir.…”

Femtocell-Throughput Analysis in OFDMA-CR Networks

“…Hence, femtocell-throughput can be given by [11] International Journal of Energy, Information and Communications Vol.6, Issue 6 (2015)…”

“…In this paper, we review the issue of sensing period to optimize the femtocell throughput for the secondary network under the limitation that PUs are sufficiently protected. Consequently, a typical frame structure is contemplated for the SU which composed of the sensing and the data transmission periods [11]. The sensing period and the data transmission period are needed to be incorporated in a unit frame such that (i) the quantity of transmitted data packets become greater and (ii) the number of clashes with the PUs become less.…”

A Cognitive Relay Network Throughput Optimization Algorithm Based on Deep Reinforcement Learning

“…In the research of throughput optimization of cognitive wireless networks, many researchers have proposed different research methods. Literature [9] proposed a cognitive radio maximization throughput algorithm based on wireless spectrum sensing. By reducing the perceived time of the secondary user, the transmission time was increased and the achievable throughput is maximized.…”