Alexandre Marquet, C. Siclet, Damien Roque, P. Siohan
{"title":"Analysis of a FTN Multicarrier System: Interference Mitigation Based on Tight Gabor Frames","authors":"Alexandre Marquet, C. Siclet, Damien Roque, P. Siohan","doi":"10.4108/eai.23-2-2017.152191","DOIUrl":"https://doi.org/10.4108/eai.23-2-2017.152191","url":null,"abstract":"Cognitive radio applications require flexible waveforms to overcome several challenges such as opportunistic spectrum allocation and white spaces utilization. In this context, multicarrier modulations generalizing traditional cyclic-prefix orthogonal frequency-division multiplexing are particularly justified to fit time-frequency characteristics of the channel while improving spectral efficiency.In our theoretical framework, a multicarrier signal is described as a Gabor family the coefficients of which are the symbols to be transmitted and the generators are the time-frequency shifted pulse shapes to be used. In this article, we consider the case where non-rectangular pulse shapes are used with a signaling density increased such that inter-pulse interference is unavoidable. Such an interference is minimized when the Gabor family used is a tight frame. We show that, in this case, interference can be approximated as an additive Gaussian noise. This allows us to compute theoretical and simulated bit-error-probability for a non-coded system using a quadrature phase-shift keying constellation. Such a characterization is then used in order to predict the convergence of a coded system using low-density parity check codes. We also study the robustness of such a system to errors on the received bits in an interference cancellation context.","PeriodicalId":334012,"journal":{"name":"EAI Endorsed Trans. Cogn. Commun.","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-02-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130085446","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Predictive channel selection: Practical implementation and a social-aware vision for spectrum use","authors":"M. Höyhtyä, J. Korpi, Mikko Hiivala","doi":"10.4108/eai.23-2-2017.152186","DOIUrl":"https://doi.org/10.4108/eai.23-2-2017.152186","url":null,"abstract":"This paper demonstrates a predictive channel selection method by implementing it in software-defined radio (SDR) platforms and measuring the performance using over-the-air video transmissions. The method uses both long term and short term history information in selecting the best channel for data transmission. Controlled interference is generated in the used channels and the proposed method is compared to reference methods. The achieved results show that the predictive method is a practical one, able to increase the throughput and reduce number of collisions and channel switches by using history information intelligently. The method is developed further and a cellular assisted social-aware method that enables efficient use of D2D links is defined in the end of this paper.","PeriodicalId":334012,"journal":{"name":"EAI Endorsed Trans. Cogn. Commun.","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-02-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124485804","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Lin Li, Amanullah Ghazi, J. Boutellier, L. Anttila, M. Valkama, S. Bhattacharyya
{"title":"Evolutionary Multiobjective Optimization for Adaptive Dataflow-based Digital Predistortion Architectures","authors":"Lin Li, Amanullah Ghazi, J. Boutellier, L. Anttila, M. Valkama, S. Bhattacharyya","doi":"10.4108/eai.23-2-2017.152187","DOIUrl":"https://doi.org/10.4108/eai.23-2-2017.152187","url":null,"abstract":"In wireless communication systems, high-power transmitters suffer from nonlinearities due to power amplifier (PA) characteristics, I/Q imbalance, and local oscillator (LO) leakage. Digital Predistortion (DPD) is an effective technique to counteract these impairments. To help maximize agility in cognitive radio systems, it is important to investigate dynamically reconfigurable DPD systems that are adaptive to changes in the employed modulation schemes and operational constraints. To help maximize effectiveness, such reconfiguration should be performed based on multidimensional operational criteria. With this motivation, we develop in this paper a novel evolutionary algorithm framework for multiobjective optimization of DPD systems. We demonstrate our framework by applying it to develop an adaptive DPD architecture, called the adaptive, dataflow-based DPD architecture (ADDA), where Pareto-optimized DPD parameters are derived subject to multidimensional constraints to support efficient predistortion across timevarying operational requirements and modulation schemes. Through extensive simulation results, we demonstrate the effectiveness of our proposed multiobjective optimization framework in deriving efficient DPD configurations for runtime adaptation.","PeriodicalId":334012,"journal":{"name":"EAI Endorsed Trans. Cogn. Commun.","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-02-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128937784","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Hussein Kobeissi, A. Nafkha, Y. Nasser, O. Bazzi, Y. Louët
{"title":"On the Performance Analysis and Evaluation of Scaled Largest Eigenvalue in Spectrum Sensing: A Simple Form Approach","authors":"Hussein Kobeissi, A. Nafkha, Y. Nasser, O. Bazzi, Y. Louët","doi":"10.4108/eai.23-2-2017.152193","DOIUrl":"https://doi.org/10.4108/eai.23-2-2017.152193","url":null,"abstract":"Scaled Largest Eigenvalue (SLE) detector stands out as the optimal single-primary-user detector in uncertain noisy environments. In this paper, we consider a multi-antenna cognitive radio system in which we aim at detecting the presence/absence of a Primary User (PU) using the SLE detector. By the exploitation of the distributions of the largest eigenvalue and the trace of the receiver sample covariance matrix, we show that the SLE could be modeled using the standard Gaussian function. Moreover, we derive the distribution of the SLE and deduce a simple yet accurate form of the probability of false alarm and the probability of detection. Hence, this derivation yields a very simple form of the detection threshold. Correlation coefficient between the largest eigenvalue and the trace is also considered as we derive a simple analytical expression. These analytical derivations are validated through extensive Monte Carlo simulations Received on 01 June 2016; accepted on 20 February 2017; published on 23 February 2017","PeriodicalId":334012,"journal":{"name":"EAI Endorsed Trans. Cogn. Commun.","volume":"35 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-02-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122174575","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Receiving more than data - a signal model, theory and implementation of a cognitive IEEE 802.15.4 receiver","authors":"Tim Esemann, H. Hellbrück","doi":"10.4108/eai.5-9-2016.151646","DOIUrl":"https://doi.org/10.4108/eai.5-9-2016.151646","url":null,"abstract":"Standard medium access schemes sense the channel immediately prior transmission, but are blind during the transmission. Therefore, standard transceivers have limited cognitive capabilities which are important for operation in heterogeneous radio environments. Specifically, mobile interferers move gradually into the reception range before actually causing collisions. These gradual interferences cannot yet be detected, and upcoming collisions cannot be predicted. We present a theoretical analysis of the received and demodulated signal. This analysis and the derived signal model verifies that the received signal contains more than transmitted data exclusively. Enhanced signal processing extracts signal components of an interference at the receiver and enables advanced interference detection to provide information about approaching mobile interferers. Our theoretical analysis is evaluated by simulations and experiments with an IEEE 802.15.4 transmitter and an extended cognitive receiver. Received on 13 May 2016; accepted on 06 August 2016; published on 05 September 2016","PeriodicalId":334012,"journal":{"name":"EAI Endorsed Trans. Cogn. Commun.","volume":"39 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-09-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124601373","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Petri Ahokangas, M. Matinmikko, I. Atkova, L. Minervini, Seppo Yrjölä, M. Mustonen
{"title":"Coopetitive Business Models in Future Mobile Broadband with Licensed Shared Access (LSA)","authors":"Petri Ahokangas, M. Matinmikko, I. Atkova, L. Minervini, Seppo Yrjölä, M. Mustonen","doi":"10.4108/eai.5-9-2016.151645","DOIUrl":"https://doi.org/10.4108/eai.5-9-2016.151645","url":null,"abstract":"Spectrum scarcity forces mobile network operators (MNOs) providing mobile broadband services to develop new business models that address spectrum sharing. It engages MNOs into coopetitive relationship with incumbents. Licensed Shared Access (LSA) concept complements traditional licensing and helps MNOs to access new spectrum bands on a shared basis. This paper discusses spectrum sharing with LSA from business perspective. It describes how coopetition and business model are linked conceptually, and identifies the influence of coopetition on future business models in LSA. We develop business models for dominant and challenger MNOs in traditional licensing and future with LSA. The results indicate that coopetition and business model concepts are linked via value co-creation and value co-capture. LSA offers different business opportunities to dominant and challenger MNOs. Offering, value proposition, customer segments and differentiation in business models become critical in mobile broadband.","PeriodicalId":334012,"journal":{"name":"EAI Endorsed Trans. Cogn. Commun.","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-09-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116071052","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Proof-of-Concept System for Opportunistic Spectrum Access in Multi-user Decentralized Networks","authors":"S. Darak, C. Moy, J. Palicot","doi":"10.4108/eai.5-9-2016.151647","DOIUrl":"https://doi.org/10.4108/eai.5-9-2016.151647","url":null,"abstract":"Poor utilization of an electromagnetic spectrum and ever increasing demand for spectrum to support dataintensive services envisioned in 5G have led to surge of interests in paradigms such as cognitive radio,device-to-device communications, unlicensed LTE etc. Such paradigms can improve spectrum utilization viaopportunistic spectrum access (OSA) in which secondary (i.e., unlicensed) users (SUs) are allowed to transmitin the vacant licensed bands given that they do not cause any interference to the active licensed users. Over thelast decade, various spectrum detectors to check the status (i.e. vacant or occupied) of the frequency band havebeen studied and demonstrated but little attention has been paid to the task of frequency band selection fromwideband input signal. This is a challenging task especially in the decentralized network where SUs do notshare any information with each other. In this paper, a new decision making policy (DMP) has been proposedfor frequency band characterization and orthogonalization of SUs into optimal set of frequency bands. Inthe proposed DMP, Bayesian UCB (Bayes-UCB) algorithm is used for accurate characterization of frequencybands. Furthermore, Bayes-UCB based orthogonization scheme is proposed replacing existing randomizationbased schemes. Then, a testbed using USRP has been developed as a proof-of-concept system for analyzingthe performance of DMPs using real radio signals. Based on experimental results, we show that the proposedDMP is superior in terms of improvement in spectrum utilization when compared to existing DMPs. Addedadvantages of fewer number of frequency band switching as well as collisions make the proposed DMP energyefficient and hence, suitable for resource-constrained battery-operated radio terminals.","PeriodicalId":334012,"journal":{"name":"EAI Endorsed Trans. Cogn. Commun.","volume":"31 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-09-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125158208","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Scenarios and business models for mobile network operators utilizing the hybrid use concept of the UHF broadcasting spectrum","authors":"Seppo Yrjölä, Petri Ahokangas, P. Talmola","doi":"10.4108/eai.5-9-2016.151648","DOIUrl":"https://doi.org/10.4108/eai.5-9-2016.151648","url":null,"abstract":"This paper explores and presents scenarios and business models for mobile network operators (MNOs) in the novel hybrid use spectrum sharing concept of the Ultra High Frequency broadcasting spectrum (470-790 MHz) used for Digital Terrestrial TV (DTT) and Mobile Broadband (MBB). More flexible use of the band could lead to higher efficiency in delivering fast growing and converging MBB, media and TV content to meet changing consumer needs. On one hand, this could be beneficial for broadcasters (BC), e.g., by preserving the spectrum, by providing additional revenues, or by lowering cost of the spectrum and, on the other hand, for MNOs to gain faster access to new potentially lower cost, licensed, below 1GHz spectrum to cope with booming data traffic. As a collaborative benefit, the concept opens up new business opportunities for delivering TV and media content using MBB network with means to introduce this flexibly. This paper highlights the importance of developing sound business models for the new spectrum use concept, as they need to provide clear benefits to the key stakeholders to be adopted in real life. The paper applies a future and action oriented approach to the MBB using the concept to derive scenarios and business models for MNOs for accessing hybrid UHF bands. In order to address the convergence and transformation coming with the concept, business models are first developed for the current situation with separate exclusive spectrum bands. Novel business scenarios are then developed for the introduction of the new flexible hybrid UHF spectrum concept. The created business model indicates that the MNOs could benefit significantly from the new UHF bands, which would enable them to cope with increasing data traffic asymmetry, and to offer differentiation through personalized broadcasting and new media services. Moreover, it could significantly re-shape the business ecosystem around both the broadcasting and the mobile broadband by introducing new convergence opportunities in business and technology for the 4G evolution towards 5G.","PeriodicalId":334012,"journal":{"name":"EAI Endorsed Trans. Cogn. Commun.","volume":"110 2 Pt 1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-09-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130715470","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Consensus-based Spectrum Sensing in Cognitive Radio Networks","authors":"N. Ermolova, O. Tirkkonen","doi":"10.4108/eai.5-9-2016.151644","DOIUrl":"https://doi.org/10.4108/eai.5-9-2016.151644","url":null,"abstract":"In this work, we analyze a distributed cooperative spectrum sensing scheme where N secondary users (SUs) of a cognitive wireless net-work make a joint decision on the primary user (PU) presence based on an agreement reached through interchanging of SU’s individual decisions. The operational protocol assumes that each SU updates the personal de-cision by using the “K-out-of-N” rule, and the network detects the PU if the nodes reach the consensus. The problem of forming a joint opinion becomes challenging because a SU makes its personal decision based on local observations distorted by a wireless propagation medium. In this paper, we analyze statistics of factors affecting the algorithm efficiency and obtain sufficient conditions of reaching consensus. The presented analysis takes into account possible node disconnections caused by poor propagation conditions. Received on 27 May 2016; accepted on 07 August 2016; published on 05 September 2016","PeriodicalId":334012,"journal":{"name":"EAI Endorsed Trans. Cogn. Commun.","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-09-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134222855","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}