Abstract

In this paper, we present a realistic use case in order to investigate the feasibility of a secondary service transmission over an existent satellite infrastructure. By introducing the overlay cognitive radio paradigm towards satellite communications, we compute a theoretical achievable data rate greater than 16 kbps for the secondary service, which is suitable for most M2M applications. Using simulation results, we show that this can be achieved while preserving the primary service performance. In addition, a system design framework is discussed in order to dimension such systems.

Highlights

  • It can be emphatically stated that the access to space is easier, cheaper, and faster than ever before

  • By considering that the exactly same shaping gain generated by a shaping code Cs is obtained for the multiuser precoding [22], we propose a method for controlling the cognitive user (CU) output power such as E |Xcn|2 = Pc, or equivalently, E |Xcn|2 = (1 − α)Pc

  • 5.1 Primary service transmission analysis The main specification for the primary user (PU) signal are output power of 1W [27], operating frequency of 2200 MHz, bit rate of 3.4 Mbps, bit error rate (BER) specified to 10−5 and coded Quadrature phase-shift keying (QPSK) modulation with Forward error correction code (FEC) (R = 1/2)

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Summary

Introduction

It can be emphatically stated that the access to space is easier, cheaper, and faster than ever before. The favorable projections to this segment could be sustained especially today, since the demand for the rising new services has increased considerably [1] (multicast, broadcast, high mobility, and wide coverage) In this sense, as an actual and typical example, it could be pointed out the use of satellite to support the machineto-machine (M2M) communications, providing connectivity to the end-users anytime, anywhere, for any media and device [2]. The M2M communications are one of the central use cases in the fifth-generation (5G) mobile network [3] as they play a major role in the Internet of Things (IoT). It is predicted in [4] the deployment of.

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