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See detail2018 25th International Conference on Telecommunications (ICT)
Lagunas, Eva UL; Chatzinotas, Symeon UL; Ottersten, Björn UL

in 2018 25th International Conference on Telecommunications (ICT) (2018)

The anticipated exponential growth in network traffic is posing significant challenges for the implementation of 5G networks. In this context, a major problem is the backhaul network which acts as a ... [more ▼]

The anticipated exponential growth in network traffic is posing significant challenges for the implementation of 5G networks. In this context, a major problem is the backhaul network which acts as a bottleneck preventing the efficient flow of ultra-dense and heavy traffic between the end users and the core network. Spectrum scarcity has emerged as the primary problem encountered when trying to accommodate the traffic upsurge. In this paper, we investigate the carrier allocation problem in the context of Integrated Satellite-Terrestrial Backhaul (ISTB) networks. In particular, we consider the satellite component to be integrated with the conventional terrestrial wireless backhaul network thus providing evident benefits in terms of data-offloading. To enhance the overall spectral efficiency of the proposed network, we consider that both terrestrial and satellite segments operate in the Ka band, where the sharing between terrestrial microwave links and satellite communications is already allowed. A novel carrier allocation algorithm based on fairness is proposed, which ensures that all backhaul links are continuously active to satisfy the operator's coverage needs. The problem is NP-hard by definition. As a consequence, we present a two-step sequential carrier allocation strategy specifically tailored to tackle the interference issues emerging from the spectral co-existence. Supporting results based on numerical simulations show that the proposed carrier allocation can provide a 2x improvement in terms of spectral efficiency when compared to benchmark terrestrial-only backhaul networks. [less ▲]

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See detailCross-Layer Forward Packet Scheduling for Emerging Precoded Broadband Multibeam Satellite System
Lagunas, Eva UL; Andrenacci, Stefano UL; Chatzinotas, Symeon UL et al

in 9th Advanced Satellite Multimedia Systems Conference (ASMS) and 15th Signal Processing for Space Communications Workshop (SPSC), Berlin, Germany, 10-12 September 2018 (2018)

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See detailIntegrated Terrestrial-Satellite Wireless Backhauling: Resource Management and Benefits for 5G
Shaat, Musbah; Lagunas, Eva UL; Pérez-Neira, Ana et al

in IEEE Vehicular Technology Magazine (2018)

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See detailGraph Similarity based on Graph Fourier Distances
Lagunas, Eva UL; Marques, Antonio G.; Chatzinotas, Symeon UL et al

in European Signal Processing Conference (EUSIPCO), Rome, Italy, 3-7 September 2018 (2018)

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See detailRelay Selection Strategies for SWIPT-Enabled Cooperative Wireless Systems
Gautam, Sumit UL; Lagunas, Eva UL; Sharma, Shree Krishna UL et al

in IEEE International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC), Montreal, Canada, Oct. 2017 (2017, October)

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See detailPower Allocation for In-Band Full-Duplex Self-Backhauling
Lagunas, Eva UL; Lei, Lei UL; Maleki, Sina UL et al

in International Conference on Telecommunications and Signal Processing (TSP), Barcelona, Spain, July 2017 (2017, July)

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See detailSpectrum Sharing in Hybrid Terrestrial-Satellite Backhaul Networks in the Ka Band
Artiga, Xavier; Vázquez, Miguel Ángel; Pérez-Neira, Ana et al

in European Conference on Networks and Communications (EuCNC), June 2017 (2017, June)

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See detailCarrier Allocation for Hybrid Satellite-Terrestrial Backhaul Networks
Lagunas, Eva UL; Maleki, Sina UL; Lei, Lei UL et al

in ICC Workshop on Satellite Communications: Challenges and Integration in the 5G ecosystem, Paris, France, May 2017 (2017, May)

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See detailSpectral coexistence for next generation wireless backhaul networks
Sharma, Shree Krishna; Lagunas, Eva UL; Tsinos, Christos UL et al

in Access, Fronthaul and Backhaul Networks for 5G and Beyond (2017)

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See detailEnergy Optimization for Full-Duplex Self-Backhauled HetNet with Non-Orthogonal Multiple Access
Lei, Lei UL; Lagunas, Eva UL; Maleki, Sina UL et al

in International Workshop on Signal Processing Advances in Wireless Communications (SPAWC), Sapporo, Japan, July 2017 (2017)

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See detailPerformance of Compressive Sensing Based Energy Detection
Lagunas, Eva UL; Rugini, Luca

in IEEE International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC), Montreal, Canada, 8-13 October 2017 (2017)

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See detailPosition Estimation for IR-UWB Systems: DPE, Multi-TOA approach and their Compressive Sensing-based Modeling,
Lagunas, Eva UL; Monica, Navarro; Pau, Closas et al

in Positioning and Navigation in Complex Environments (2017)

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See detailCompressive Sensing Based Energy Detector
Lagunas, Eva UL; Sharma, Shree Krishna UL; Chatzinotas, Symeon UL et al

in European Signal Processing Conference (EUSIPCO) (2016, August)

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See detailCompressive Sensing based Target Counting and Localization Exploiting Joint Sparsity
Lagunas, Eva UL; Sharma, Shree Krishna UL; Chatzinotas, Symeon UL et al

in Proc. IEEE ICASSP 2016 (2016, March)

One of the fundamental issues in Wireless Sensor Networks (WSN) is to count and localize multiple targets accurately. In this context, there has been an increasing interest in the literature in using ... [more ▼]

One of the fundamental issues in Wireless Sensor Networks (WSN) is to count and localize multiple targets accurately. In this context, there has been an increasing interest in the literature in using Compressive Sensing (CS) based techniques by exploiting the sparse nature of spatially distributed targets within the monitored area. However, most existing works aim to count and localize the sparse targets utilizing a Single Measurement Vector (SMV) model. In this paper, we consider the problem of counting and localizing multiple targets exploiting the joint sparsity feature of a Multiple Measurement Vector (MMV) model. Furthermore, the conventional MMV formulation in which the same measurement matrix is used for all sensors is not valid any more in practical time-varying wireless environments. To overcome this issue, we reformulate the MMV problem into a conventional SMV in which MMVs are vectorized. Subsequently, we propose a novel reconstruction algorithm which does not need the prior knowledge of the sparsity level unlike the most existing CS-based approaches. Finally, we evaluate the performance of the proposed algorithm and demonstrate the superiority of the proposed MMVapproach over its SMV counterpart in terms of target counting and localization accuracies. [less ▲]

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See detailDistributed Power Control with Received Power Constraints for Time-Area-Spectrum Licenses
Pérez-Neira, Ana I.; Veciana, Joaquim M.; Vazquez, Miguel A. et al

in Signal Processing (2016)

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See detailApplication of Compressive Sensing in Cognitive Radio Communications: A Survey
Sharma, Shree Krishna UL; Lagunas, Eva UL; Chatzinotas, Symeon UL et al

in IEEE COMMUNICATION SURVEYS & TUTORIALS (2016)

Compressive Sensing (CS) has received much attention in several fields such as digital image processing, wireless channel estimation, radar imaging, and Cognitive Radio (CR) communications. Out of these ... [more ▼]

Compressive Sensing (CS) has received much attention in several fields such as digital image processing, wireless channel estimation, radar imaging, and Cognitive Radio (CR) communications. Out of these areas, this survey paper focuses on the application of CS in CR communications. Due to the underutilization of the allocated radio spectrum, spectrum occupancy is usually sparse in different domains such as time, frequency and space. Such a sparse nature of the spectrum occupancy has inspired the application of CS in CR communications. In this regard, several researchers have already applied the CS theory in various settings considering the sparsity in different domains. In this direction, this survey paper provides a detailed review of the state of the art related to the application of CS in CR communications. Starting with the basic principles and the main features of CS, it provides a classification of the main usage areas based on the radio parameter to be acquired by a wideband CR. Subsequently, we review the existing CS-related works applied to different categories such as wideband sensing, signal parameter estimation and Radio Environment Map (REM) construction, highlighting the main benefits and the related issues. Furthermore, we present a generalized framework for constructing the REM in compressive settings. Finally, we conclude this survey paper with some suggested open research challenges and future directions. [less ▲]

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See detailCognitive approaches to enhance spectrum availability for satellite systems
Chatzinotas, Symeon UL; Evans, Barry; Guidotti, Alessandro et al

in International Journal of Satellite Communications and Networking (2016)

Cognitive radio technologies have achieved in the recent years an increasing interest for the possible gain in terms of spectrum usage with respect to unshared approaches. While most of the attention has ... [more ▼]

Cognitive radio technologies have achieved in the recent years an increasing interest for the possible gain in terms of spectrum usage with respect to unshared approaches. While most of the attention has been devoted to the cognitive coexistence between terrestrial systems, the coexistence between terrestrial and satellite communications is also seen as a viable option. Cognitive radio for satellite communications (CoRaSat) has been a European Commission seventh Framework Program project funded under the ICT Call 8. CoRaSat aimed at investigating, developing, and demonstrating cognitive radio techniques in satellite communication systems for flexible and dynamic spectrum access. In this paper, the CoRaSat cognitive approaches and techniques, investigated, developed, and demonstrated as most relevant to satellite communications, are described. In particular, the focus is on spectrum awareness, that is, database and spectrum sensing approaches, and on spectrum exploitation algorithms, that is, resource allocation and beamforming algorithms, to enable the use of spectrum for satellite communications using shared bands. [less ▲]

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See detailPower and Rate Allocation in Cognitive Satellite Uplink Networks
Lagunas, Eva UL; Maleki, Sina UL; Chatzinotas, Symeon UL et al

in IEEE International Conference on Communications, ICC 2016 (2016)

In this paper, we consider the cognitive satellite uplink where satellite terminals reuse frequency bands of Fixed-Service (FS) terrestrial microwave links which are the incumbent users in the Ka 27.5-29 ... [more ▼]

In this paper, we consider the cognitive satellite uplink where satellite terminals reuse frequency bands of Fixed-Service (FS) terrestrial microwave links which are the incumbent users in the Ka 27.5-29.5 GHz band. In this scenario, the transmitted power of the cognitive satellite terminals has to be controlled so as to satisfy the interference constraints imposed by the incumbent FS receivers. We investigate and analyze a set of optimization frameworks for the power and rate allocation problem in the considered cognitive satellite scenario. The main objective is to shed some light on this rather unexplored scenario and demonstrate feasibility of the terrestrial-satellite co-existence. In particular, we formulate a multi-objective optimization problem where the rates of the satellite terminals form the objective vector and derive a general iterative framework which provides a Pareto-optimal solution. Next, we transform the multi-objective optimization problem into different single-objective optimization problems, focusing on popular figures of merit such as the sumrate or the rate fairness. Supporting results based on numerical simulations are provided which compare the different proposed approaches. [less ▲]

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See detailImpact of Terrain Aware Interference Modeling on the Throughput of Cognitive Ka-Band Satellite Systems
Lagunas, Eva UL; Sharma, Shree Krishna UL; Maleki, Sina UL et al

in Ka and Broadband Communications Conference (KaConf), Bologna, Italy, Oct 2015. (2015, October)

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See detailPower Control for Satellite Uplink and Terrestrial Fixed-Service Co-existence in Ka-band
Lagunas, Eva UL; Sharma, Shree Krishna UL; Maleki, Sina UL et al

in IEEE Vehicular Technology Conference, Boston 6-9 Sept 2015 (2015, September)

Detailed reference viewed: 238 (15 UL)