Frequency Packing for Interference Alignment-Based Cognitive Dual Satellite Systems

Chatzinotas, Symeon; Sharma, Shree Krishna; Ottersten, Björn

doi:10.1109/vtcfall.2013.6692209

Cited by 21 publications

(19 citation statements)

References 29 publications

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“…Moreover, the uncoordinated IA technique protects almost 90 % of the total primary rate and the resource division protects about 65 % of the total primary rate. To enhance the spectrum efficiency further, authors in [13] investigate the effect of the frequency packing in IA based dual satellite cognitive systems and show that the sum-rate increases with the value of frequency packing factor for all the considered IA techniques with the IA coordinated technique perfectly protecting the primary rate for all the considered frequency packing factor (from 0.5 to 1). …”

Section: Multibeam-monobeam Satellite Coexistence In Frequency Domainmentioning

confidence: 99%

Cognitive Interference Alignment for Spectral Coexistence

Sharma

Chatzinotas

Ottersten

2014

Cognitive Radio and Networking for Heterogeneous Wireless Networks

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Interference Alignment (IA) has been widely recognized as a promising interference mitigation technique since it can achieve the optimal degrees of freedom in certain interference limited channels. In the context of Cognitive Radio (CR) networks, this technique allows the coexistence of two heterogeneous wireless systems in an underlay cognitive mode. The main concept behind this technique is the alignment of the interference on a signal subspace in such a way that it can be filtered out at the non-intended receiver by sacrificing some signal dimensions. This chapter starts with an overview of IA principle, Degree of Freedom (DoF) concept, and the classification of existing IA techniques. Furthermore, this chapter includes a discussion about IA applications in CR networks. Moreover, a generic system model is presented for allowing the coexistence of two heterogeneous networks using IA approach while relevant precoding and filtering processes are described. In addition, two important practical applications of the IA technique are presented along with the numerical results for underlay spectral coexistence of (i) femtocell-macrocell systems, and (ii) monobeam-multibeam satellite systems. More specifically, an uplink IA scheme is investigated in order to mitigate the interference of femtocell User Terminals (UTs) towards the macrocell Base Station (BS) in the spatial domain and the interference of multibeam satellite terminals towards the monobeam satellite in the frequency domain.

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Section: Multibeam-monobeam Satellite Coexistence In Frequency Domainmentioning

confidence: 99%

Cognitive Interference Alignment for Spectral Coexistence

Sharma

Chatzinotas

Ottersten

2014

Cognitive Radio and Networking for Heterogeneous Wireless Networks

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“…[3] have shown that a considerable capacity improvement can also be achieved in the four color beam pattern by relaxing the signal orthogonality either in frequency or time domains. This strategy is referred to as Time-Frequency Packing (TFP) (See [2], [9], [7]. Next, from the 3GPP arena, sys-tems based on NOMA have shown they provide a larger spectral efficiency than the schemes based on orthogonal ones [6].…”

Section: Introductionmentioning

confidence: 99%

Interference Management Schemes for High Spectral Efficiency Satellite Communications

Bas

Caus

Perez

et al. 2019

SIGMETRICS Perform. Eval. Rev.

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This paper presents a short review on the main high spectral efficient systems for multibeam satellite communications. In this regard, we study the use of MultiUser Detectors (MUD) and Successive Interference Cancellation (SIC) applied to aggressive frequency reuse, frequency packing and Non Orthogonal Multiple Access (NOMA). Furthermore, we have also considered the presence of co-channel interference and spectrum limitations. The experimental validations have been conducted using DVB-S2 waveform. The results point out that the residual co-channel interference reduce the benefits of using frequency packing schemes. Moreover, we investigate the effect of asynchronous reception of data streams in our previously proposed interference management scheme based on cooperative NOMA in multibeam satellite systems.

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“…Apart from the requirement of finding intelligent (or cognitive) resource allocation, it is important to ensure that the co-existence of multi-satellite systems does not cause interference to other co-channel systems such as FSS systems, mobile satellite services (MSS), or terrestrial systems. In particular, the interference mitigation is more complicated considering a practical dual satellite system (DSS) scenario, in which two satellites (e.g., GSO-NGSO satellites) operate over the same coverage area while sharing the spectrum bands [9]. In the co-existence scenarios of GSO-NGSO networks, in-line interference arises whenever an NGSO satellite passes through a line of sight path between an earth station and a GSO satellite [10].…”

Section: Introductionmentioning

confidence: 99%

Cognitive Interference Management Techniques for the Spectral Co-existence of GSO and NGSO Satellites

Pourmoghadas

Sharma

Chatzinotas

et al. 2017

Wireless and Satellite Systems

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Abstract. One of the main challenges in the co-existence of geostationary satellite orbit (GSO) and non-geostationary satellite orbit (NGSO) satellite networks is to mitigate the in-line interference caused by an NGSO satellite to the GSO earth terminal, while the NGSO satellite is crossing the GSO satellite's illumination zone. The method recommended in ITU-R S.1325-3 involves utilizing a range-based power control on the NGSO satellite for downlink communication to the NGSO earth terminals. In this paper, we investigate a cognitive range-based power control algorithm while taking into account the imposed interference level to the GSO fixed satellite service (FSS) system. Results show that the proposed cognitive power control algorithm can mitigate the harmful in-line interference on the GSO terminal receiver, while also providing the desired link quality for the NGSO system. More importantly, we formulate and solve an optimization problem with the objective of minimizing the intersite distance (ISD) of the GSO-NGSO earth user-terminals. Finally, we develop an analytical method to calculate the ISD between GSO and NGSO earth terminals and validate this with the help of simulation results.

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Frequency Packing for Interference Alignment-Based Cognitive Dual Satellite Systems

Cited by 21 publications

References 29 publications

Cognitive Interference Alignment for Spectral Coexistence

Cognitive Interference Alignment for Spectral Coexistence

Interference Management Schemes for High Spectral Efficiency Satellite Communications

Cognitive Interference Management Techniques for the Spectral Co-existence of GSO and NGSO Satellites

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