72 research outputs found

    Layered Capacity-Based Relay-and-Antenna Joint Selection for MIMO-AF-Multiple-Relay Systems in Correlated Channels

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    A computationally efficient two-stage greedy capacity maximization (GCM) relay-and-antenna joint selection is proposed for a dual-hop nonregenerative amplify-and-forward (AF) multiple-input multiple-output (MIMO) multiple-relay system with multiple antennas equipped at each node in correlated fading channels. This modified GCM (MGCM) antenna selection strategy selects a subset of antenna pairs from available relays based on the concept of channel capacity maximization subject to an optimal power allocation constraint across the activated antenna pairs. In order to reduce system hardware complexity, antenna selection schemes are performed at the destination node as well. Finally, simulations are conducted to compare the channel capacity of the proposed two-layered antenna selection technique with other existing antenna selection algorithms for half-duplex AF-MIMO multiple-relay systems

    Contributions to the Performance Analysis of Intervehicular Communications Systems and Schemes

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    RÉSUMÉ Le but des systĂšmes de communication intervĂ©hicule (Inter-Vehicle Communication – IVC) est d'amĂ©liorer la sĂ©curitĂ© de conduite en utilisant des capteurs et des techniques de communication sans fil pour ĂȘtre en mesure de communiquer mutuellement sans aucune intervention extĂ©rieure. Avec l'utilisation de ces systĂšmes, les communications vĂ©hicule Ă  vĂ©hicule (V2V) peuvent ĂȘtre plus efficaces dans la prĂ©vention des accidents et la dĂ©congestion de la circulation que si chaque vĂ©hicule travaillait individuellement. Une des solutions proposĂ©es pour les systĂšmes IVC est l’utilisation des systĂšmes de communication coopĂ©rative, qui en principe, augmentent l'efficacitĂ© spectrale et Ă©nergĂ©tique, la couverture du rĂ©seau, et rĂ©duit la probabilitĂ© de dĂ©faillance. La diversitĂ© d'antenne (entrĂ©es multiples sorties multiples « Multiple-Input Multiple-Output » ou MIMO) peut Ă©galement ĂȘtre une alternative pour les systĂšmes IVC pour amĂ©liorer la capacitĂ© du canal et la diversitĂ© (fiabilitĂ©), mais en Ă©change d’une complexitĂ© accrue. Toutefois, l'application de telles solutions est difficile, car les communications sans fil entre les vĂ©hicules sont soumises Ă  d’importants effets d'Ă©vanouissements des canaux appelĂ©s (canaux sujets aux Ă©vanouissements de n*Rayleigh, « n*Rayleigh fading channels»), ce qui conduit Ă  la dĂ©gradation des performances. Par consĂ©quent, dans cette thĂšse, nous proposons une analyse de la performance globale des systĂšmes de transmission coopĂ©ratifs et MIMO sur des canaux sujets aux Ă©vanouissements de n*Rayleigh. Cette analyse permettra d’aider les chercheurs pour la conception et la mise en Ɠuvre de systĂšmes de communication V2V avec une complexitĂ© moindre. En particulier, nous Ă©tudions d'abord la performance de la sĂ©lection du relais de coopĂ©ration avec les systĂšmes IVC, on suppose que la transmission via « Amplify-and-Forward» (AF) ou bien «Decode-and-Forward» (DF) est assurĂ©e par N relais pour transfĂ©rer le message de la source Ă  la destination. La performance du systĂšme est analysĂ©e en termes de probabilitĂ© de dĂ©faillance, la probabilitĂ© d'erreur de symbole, et la capacitĂ© moyenne du canal. Les rĂ©sultats numĂ©riques dĂ©montrent que la sĂ©lection de relais rĂ©alise une diversitĂ© de l'ordre de (d≈mN/n) pour les deux types de relais, oĂč m est un paramĂštre Ă©vanouissement de Rayleigh en cascade. Nous Ă©tudions ensuite la performance des systĂšmes IVC Ă  sauts multiples avec et sans relais rĂ©gĂ©nĂ©ratifs. Dans cette Ă©tude, nous dĂ©rivons des expressions approximatives pour la probabilitĂ© de dĂ©faillance et le niveau d’évanouissement lorsque la diversitĂ© en rĂ©ception basĂ©e sur le ratio maximum de combinaison (MRC) est employĂ©e. En outre, nous analysons la rĂ©partition de puissance pour le systĂšme sous-jacent afin de minimiser la probabilitĂ© globale de dĂ©faillance. Nous montrons que la performance des systĂšmes rĂ©gĂ©nĂ©ratifs est meilleure que celle des systĂšmes non rĂ©gĂ©nĂ©ratifs lorsque l’ordre de cascade n est faible, tandis qu’ils ont des performances similaires lorsque n est Ă©levĂ©. Ensuite, nous considĂ©rons le problĂšme de la dĂ©tection de puissance des signaux inconnus aux n* canaux de Rayleigh. Dans ce travail, de nouvelles expressions approximatives sont dĂ©rivĂ©es de la probabilitĂ© de dĂ©tection moyenne avec et sans diversitĂ© en rĂ©ception MRC. En outre, la performance du systĂšme est analysĂ©e lorsque la dĂ©tection de spectre coopĂ©rative (CSS) est considĂ©rĂ©e sous diverses contraintes de canaux (par exemple, les canaux de communication parfaits et imparfaits). Les rĂ©sultats numĂ©riques ont montrĂ© que la fiabilitĂ© de dĂ©tection diminue Ă  mesure que l'ordre n augmente et s’amĂ©liore sensiblement lorsque CSS emploie le schĂ©ma MRC. Il est dĂ©montrĂ© que CSS avec le schĂ©ma MRC maintient la probabilitĂ© de fausse alarme minimale dans les canaux d’information imparfaite plutĂŽt que d'augmenter le nombre d'utilisateurs en coopĂ©ration. Enfin, nous prĂ©sentons une nouvelle approche pour l'analyse des performances des systĂšmes IVC sur n*canaux de Rayleigh, en utilisant n_T antennes d'Ă©mission et n_R antennes de rĂ©ception pour lutter contre l'effet d’évanouissement. Dans ce contexte, nous Ă©valuons la performance des systĂšmes MIMO-V2V basĂ©s sur la sĂ©lection des antennes d'Ă©mission avec un ratio maximum de combinaison (TAS/MRC) et la sĂ©lection combinant (TAS/SC). Dans cette Ă©tude, nous dĂ©rivons des expressions analytiques plus prĂ©cises pour la probabilitĂ© de dĂ©faillance, la probabilitĂ© d'erreur de symbole, et l’évanouissement sur n*canaux Rayleigh. Il est montrĂ© que les deux rĂ©gimes ont le mĂȘme ordre de diversitĂ© maximale Ă©quivalent Ă  (d≈mn_T n_R /n) . En outre, TAS / MRC offre un gain de performance mieux que TAS/ SC lorsque le nombre d'antennes de rĂ©ception est plus que celle des antennes d’émission, mais l’amĂ©lioration de la performance est limitĂ©e lorsque n augmente.----------Abstract The purpose of intervehicular communication (IVC) systems is to enhance driving safety, in which vehicles use sensors and wireless communication techniques to talk to each other without any roadside intervention. Using these systems, vehicle-to-vehicle (V2V) communications can be more effective in avoiding accidents and traffic congestion than if each vehicle works individually. A potential solution can be implemented in this research area using cooperative communications systems which, in principle, increase spectral and power efficiency, network coverage, and reduce the outage probability. Antenna diversity (i.e., multiple-input multiple output (MIMO) systems) can also be an alternative solution for IVC systems to enhance channel capacity and diversity (reliability) but in exchange of an increased complexity. However, applying such solutions is challenging since wireless communications among vehicles is subject to harsh fading channels called ‘n*Rayleigh fading channels’, which leads to performance degradation. Therefore, in this thesis we provide a comprehensive performance analysis of cooperative transmission and MIMO systems over n*Rayleigh fading channels that help researchers for the design and implementation of V2V communication systems with lower complexity. Specifically, we first investigate the performance of cooperative IVC systems with relay selection over n*Rayleigh fading channels, assuming that both the decode-and-forward and the amplify-and-forward relaying protocols are achieved by N relays to transfer the source message to the destination. System performance is analyzed in terms of outage probability, symbol error probability, and average channel capacity. The numerical results have shown that the best relay selection approach achieves the diversity order of (d≈mN/n) where m is a cascaded Rayleigh fading parameter. Second, we investigate the performance of multihop-IVC systems with regenerative and non-regenerative relays. In this study, we derive approximate closed-form expressions for the outage probability and amount of fading when the maximum ratio combining (MRC) diversity reception is employed. Further, we analyze the power allocation for the underlying scheme in order to minimize the overall outage probability. We show that the performance of regenerative systems is better than that of non-regenerative systems when the cascading order n is low and they have similar performance when n is high. Third, we consider the problem of energy detection of unknown signals over n*Rayleigh fading channels. In this work, novel approximate expressions are derived for the average probability of detection with and without MRC diversity reception. Moreover, the system performance is analyzed when cooperative spectrum sensing (CSS) is considered under various channel constraints (e.g, perfect and imperfect reporting channels). The numerical results show that the detection reliability decreases as the cascading order n increases and substantially improves when CSS employs MRC schemes. It is demonstrated that CSS with MRC scheme keeps the probability of false alarm minimal under imperfect reporting channels rather than increasing the number of cooperative users. Finally, we present a new approach for the performance analysis of IVC systems over n*Rayleigh fading channels, using n_T transmit and n_R receive antennas to combat fading influence. In this context, we evaluate the performance of MIMO-V2V systems based on the transmit antenna selection with maximum ratio combining (TAS/MRC) and selection combining (TAS/SC) schemes. In this study, we derive tight analytical expressions for the outage probability, the symbol error probability, and the amount of fading over n*Rayleigh fading channels. It is shown that both schemes have the same maximum diversity order equivalent to (d≈mn_T n_R /n). In addition, TAS/MRC offers a better performance gain than TAS/SC scheme when the number of receive antennas is more than that of transmit antennas, but the performance improvement is limited as n increases

    A novel equivalent definition of modified Bessel functions for performance analysis of multi-hop wireless communication systems

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    A statistical model is derived for the equivalent signal-to-noise ratio of the Source-to-Relay-to-Destination (S-R-D) link for Amplify-and-Forward (AF) relaying systems that are subject to block Rayleigh-fading. The probability density function and the cumulated density function of the S-R-D link SNR involve modified Bessel functions of the second kind. Using fractional-calculus mathematics, a novel approach is introduced to rewrite those Bessel functions (and the statistical model of the S-R-D link SNR) in series form using simple elementary functions. Moreover, a statistical characterization of the total receive-SNR at the destination, corresponding to the S-R-D and the S-D link SNR, is provided for a more general relaying scenario in which the destination receives signals from both the relay and the source and processes them using maximum ratio combining (MRC). Using the novel statistical model for the total receive SNR at the destination, accurate and simple analytical expressions for the outage probability, the bit error probability, and the ergodic capacity are obtained. The analytical results presented in this paper provide a theoretical framework to analyze the performance of the AF cooperative systems with an MRC receiver

    Optimization Framework and Graph-Based Approach for Relay-Assisted Bidirectional OFDMA Cellular Networks

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    This paper considers a relay-assisted bidirectional cellular network where the base station (BS) communicates with each mobile station (MS) using OFDMA for both uplink and downlink. The goal is to improve the overall system performance by exploring the full potential of the network in various dimensions including user, subcarrier, relay, and bidirectional traffic. In this work, we first introduce a novel three-time-slot time-division duplexing (TDD) transmission protocol. This protocol unifies direct transmission, one-way relaying and network-coded two-way relaying between the BS and each MS. Using the proposed three-time-slot TDD protocol, we then propose an optimization framework for resource allocation to achieve the following gains: cooperative diversity (via relay selection), network coding gain (via bidirectional transmission mode selection), and multiuser diversity (via subcarrier assignment). We formulate the problem as a combinatorial optimization problem, which is NP-complete. To make it more tractable, we adopt a graph-based approach. We first establish the equivalence between the original problem and a maximum weighted clique problem in graph theory. A metaheuristic algorithm based on any colony optimization (ACO) is then employed to find the solution in polynomial time. Simulation results demonstrate that the proposed protocol together with the ACO algorithm significantly enhances the system total throughput.Comment: 27 pages, 8 figures, 2 table

    Energy Efficient Switching between Data Transmission and Energy Harvesting for Cooperative Cognitive Relaying Systems

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    A dual-hop cognitive (secondary) relaying system incorporating collaborative spectrum sensing to opportunistically switch between data transmission and energy harvesting is introduced. The secondary relays, first scan the wireless channel for a primary network activity, and then convey their reports to a secondary base station (SBS). Afterwards, the SBS, based on these reports and its own estimation, decides cooperatively the presence of primary transmission or not. In the former scenario, all secondary relays start to harvest energy from the transmission of one or more primary nodes. In the latter scenario, the system initiates secondary communication via a best relay selection policy. The performance of the proposed scheme is thoroughly investigated by assuming realistic channel conditions, i.e., non-identical link-distances and outdated channel estimation, while its overall energy consumption is evaluated, indicating the efficiency of the switching approach
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