The Diploma work deals with the implementation of LTE Cat-M technology in the simulation tool Network Simulator 3 (NS-3). The work describe LPWA technologies and their use cases. In first are described the main parts of the Internet of Things (IoT) and Machine-to-Machine (M2M) communication. Subsequently are described and defined the most used technologies in LPWA networks. Technologies which are used in the LPWA networks are Sigfox, LoRaWAN, Narrowband IoT (NB-IoT) and Long Term Evolution for Machines (LTE Cat-M), where LTE Cat-M technology is described in more details. Simulations are simulated in simulation tool NS-3 and use LENA module. In NS 3 tool are simulated Simulations, which give us informations of Network state according to different Network set up. At the end are done changes of Radio Resource Control (RRC) states in NS-3 tool. These changes are required for correct implementation LTE Cat-M technology in NS-3 tool. Then we are able to simulate simulations, which meet to definition of LTE Cat-M technology.

The last three decades have seen significant advances in the wireless communication field. As the data rates of wireless systems are increasing, the demand for mobile services also is increasing rapidly. Like other natural resources, radio spectrum suitable for mobile wireless communications is also limited. In order to keep up with this ever increasing demand, there is a requirement of new signal processing algorithms. Diversity is a technique used in wireless systems to combat the effects of fading and thereby improve reliability of data transfer. There are many ways in which algorithms can exploit diversity in wireless channels. Hybrid-automatic repeat request (H-ARQ) schemes and relaying mechanisms are two such diversity extracting techniques. Even though these diversity achieving techniques have been well understood in theory, there are many ways in which one can optimize these techniques for specific application scenarios.In this thesis, we focus on improving the performance of retransmission schemes and relaying systems. In the first part of the thesis, we improve the performance of H-ARQ schemes in the 3GPP- long term evolution (LTE) system by improving the performance of feedback signaling. We employ complex-field coding to extract the inherent frequency diversity available in the resources. Next, we provide a sub-optimal solution to the outage-optimal power allocation problem in incremental redundancy based H-ARQ system, whose performance is practically the same as that of the optimal solution. In the later part of the thesis, we propose a retransmission scheme based on superposition coding (SPC) for the symmetric relaying scenario. We provide packet error probability (PEP) expressions and solutions for the optimal fraction of power allocated for the partners' data. Finally, we study the optimal bits-to-symbol mappings for SPC and its effect on an H-ARQ scheme and the symmetric relaying scenario using SPC.

The ability for base stations to be able to beam-form their signals, directing the signal energy to specific users, is a topic of research that has been heavily studied during the last decades. The beam-forming technique aims to increase the signal-to-interference-and-noise-ratio of the user and, consequently, increase the capacity and coverage of the communication system. One such method is the Differential Beam-Forming technique, that has been developed at Ericsson Research. In this version of beam-forming, the beams can be dynamically sharpened and widened when tracking a specific terminal, to try to optimize the signal energy sent to that terminal. Beam-forming, however, makes the link-adaptation algorithm process substantially harder to perform. The reason for this is that the link-adaptation algorithm now has to take into account not only the changing radio environment, but also the changing transmit signal that is being beam-formed. Fortunately, since the beam-formed signal is known at the point of transmission, there should be a potential to utilize this knowledge to make the link-adaptation more efficient. This thesis, investigates how the link-adaptation algorithm could be changed to perform better in beam-forming setups, as well as what information from the beam-forming algorithm that could be included and utilized in the link-adaptation algorithm. This is done by designing and investigating three new link-adaptation algorithms, in the context of Differential Beam-Forming in an LTE FDD system. The algorithms that has been designed are both of a beam-forming-aware and beam-forming-unaware character, meaning if the beam-forming information is utilized within the algorithm, or not. These algorithms have been simulated for different base station antenna array-sizes. Unfortunately, due to simulator restrictions, the terminals have been simulated in a stationary environment, which has proven to be a limiting factor for the results. However, the results still show that smarter beam-forming-aware link-adaptation could possibly be used to increase the performance of the link-adaptation when using beam-forming.

4G LTE is a new cellular phone network standard to provide both the capacity and Quality of Service (QoS) needed to support multimedia applications. Recent research in LTE has explored modifications to the current QoS setup, creating MAC layer schedulers and modifying the current QoS architecture. However, what has not been fully explored are the effects of LTE retransmission choices and capabilities on QoS. This thesis examines the impact of using acknowledgments to recover lost data over the wireless interface on VoIP, FTP and MPEG video applications. Issues explored include interaction between application performance, network transport protocols, LTE acknowledgment mode, and wireless conditions. Simulations show that LTE retransmissions improve FTP throughput by 0.1 to 0.8 Mb/s. With delay sensitive applications, like VoIP and video, the benefits of retransmissions are dependent on the loss rate. When the wireless loss rate is less than 20%, VoIP has similar performance with and without LTE retransmissions. At higher loss rates the use of LTE retransmissions adds degrading the VoIP quality by 71%. With UDP video, the choice of retransmissions or not makes little change when the wireless loss rates are less than 10%. With higher wireless loss rates, the frame arrival delay increases by up to 539% with LTE retransmissions, but the frame rate of the video decreases by up to 34% without those retransmissions. LTE providers should configure their networks to use retransmission policies appro- priate for the type of application traffic. This thesis shows that VoIP, FTP and video require different configurations in the LTE network layers.

Cette étude porte sur l’allocation de ressources radio dans les réseaux LTE à forte mobilité. En particulier, il s’agit de concevoir des stratégies d’allocation de ressources capables d’améliorer la qualité de service des flux multimédia dans un contexte de forte mobilité des terminaux. Pour atteindre ces objectifs, l’étude a été menée en deux étapes. Dans un premier temps les travaux se sont déroulés dans un contexte où l’aspect forte mobilité n’a pas été pris en compte. Cela a permis de bien maitriser tous les aspects liés à l’allocation de ressources dans le LTE tout en proposant de nouvelles méthodes meilleures que celles existantes. Une fois cette tâche accomplie, l’aspect forte mobilité a été ajouté au problème et des stratégies adaptées à ce contexte ont été proposées. Néanmoins, dû aux différences entre les liens montants et descendants, l’étude a été menée dans les deux directions. Comme première contribution, nous avons conçu deux stratégies pour améliorer l’allocation de ressources sur la liaison descendante dans un contexte où la forte mobilité n’a pas été prise en compte. La première méthode est un mécanisme qui améliore cette allocation en particulier dans les scénarios d’overbooking en faisant un compromis entre l’équité, le débit global du système et les exigences de qualité de service des applications. La seconde stratégie permet non seulement de satisfaire aux contraintes de délais mais également de garantir un très faible taux de perte de paquets aux services de type multimédias. Les performances des systèmes proposés ont été évaluées par des simulations en les comparant à d’autres mécanismes dans la littérature. Les analyses ont démontré leur efficacité et révélé qu’elles obtenaient les meilleures performances. Notre deuxième contribution a permis d’améliorer l’allocation de ressources toujours dans un contexte de non prise en compte de la forte mobilité, mais cette fois ci sur le lien montant et pour des flux de type vidéo téléphonie. Nous avons conçu un nouveau protocole qui réduit de façon considérable les retards causés par l’allocation dynamique des ressources. L’idée consiste à allouer des ressources à ces trafics en utilisant une stratégie semi-persistante associée à un processus de pré-allocation. Les performances de notre méthode ont été évaluées par simulations et les résultats ont montré qu’elle fournissait le meilleur support en qualité de service. La dernière partie de nos travaux s’est intéressée au problème d’allocation de ressources dans les scénarios de fortes mobilités des terminaux. Dans cette partie, nous avons élaboré deux stratégies efficaces convenant aux scénarios véhiculaires. La première méthode est une technique permettant de maintenir le niveau de qualité de service nécessaire pour le bon fonctionnement des applications vidéo des utilisateurs ayant les vitesses les plus élevées. Elle consiste à déterminer en fonction des différentes vitesses des utilisateurs, le taux minimum de rapports CQI à envoyer à la station de base. Quant à la seconde stratégie, c’est un procédé d’ordonnancement opportuniste qui améliore la qualité de service des applications vidéo des utilisateurs ayant les vitesses les plus élevées. Avec cette stratégie, ces utilisateurs obtiennent une plus grande priorité et acquièrent ainsi beaucoup plus de ressources. / Abstract Our thesis focuses on issues related to resources allocation in LTE Networks. In particular the purpose of this study is to design efficient scheduling algorithms to improve the QoS of real time flows in a context of high mobility of the users. To reach this goal, the study has been carried out in two steps. At first, in order to have an expert knowledge of the key facets of LTE scheduling, we conducted the study in a context where the high mobility aspect of the node was not taken into account. This helped not only to critically analyze the literature but also to propose new schemes to improve QoS of real time applications. After that, the high mobility parameter has been added and innovative methods dealing with this context have been designed. Nevertheless due to the existing differences between the downlink and the uplink, the issue was tackled in each of the aforementioned directions. We firstly addressed the problem of improving the scheduling of downlink communications in a context where the high mobility was not taken into account. Two major methods have been designed for this purpose. The first one is an innovative scheme which improves resources assignment in overbooking scenarios by doing a trade-off between fairness, overall system through put and QoS requirements. The second one is an enhanced scheduling scheme which provides strict delay bounds and guarantees very low packet loss rate to multimedia flows. The performance of the proposed schemes have been evaluated by simulations and compared to other schemes in the literature. The analyses demonstrated their effectiveness and showed that they outperformed the existing ones. The second contribution concerned the problem of improving the scheduling of uplink communications in a context where the high mobility was not taken into account. We designed a novel scheduling protocol which improves resources allocation for videotelephony flows and reduces the delay caused by dynamic scheduling. It consists in scheduling such traffics using a semi-persistent strategy associated with a provisioning process. The performance of our proposed method have been evaluated by simulations and results demonstrated its effectiveness by showing that it improved videotelephony flows performance and provided the best QoS support compared to the dynamic scheduling.The last contribution addressed the problem of resources allocation in high mobility scenarios. In this part, the high mobility aspect was taken into account for designing suitable schemes for vehicular scenarios. We proposed in this way two efficient strategies. The first one is a technique which maintains the required level of QoS for supporting video users at high velocities. It consists in identifying depending on the UEs velocity, the minimum CQI reports rate in order to maintain the required QoS. The second proposed strategy is an opportunistic method which improves the performance of high speed video users. With this strategy, more priority are given to the UEs having the highest velocity. Simulations results demonstrated its effectiveness and showed that it improved the QoS support of video users having the highest velocity.

Made available in DSpace on 2018-08-01T23:21:21Z (GMT). No. of bitstreams: 1 tese_9838_019 - Dissertação Mestrado PPGBF Gabriela Pandini Silote.pdf: 2711420 bytes, checksum: 8b1f99cd99fbf2d5e2e1a4b0070122d6 (MD5) Previous issue date: 2016-04-06 / A cetamina é um antagonista não competitivo dos receptores glutamatérgicos do tipo N-metil-D-aspartato (NMDA). Estudos pré-clínicos e clínicos têm sugerido que ela apresenta efeito antidepressivo de início rápido e relativamente persistente. O mecanismo de ação envolvido nesse efeito parece ser mais complexo do que o simples bloqueio dos receptores NMDA, envolve a ativação dos receptores α-amino-3-hidroxi-5-metil-4-isoazolepropiônico (AMPA) e da via de sinalização do fator neurotrófico derivado do cérebro (BDNF) e do receptor de tirosina cinase B (TrκB). Diversos fármacos antidepressivos são eficazes no tratamento do transtorno de ansiedade generalizada (TAG) e no transtorno do pânico (TP) somente após tratamento crônico, é possível que a cetamina apresente efeito ansiolítico ou panicolítico de forma rápida e persistente. O labirinto em T elevado (LTE) é um modelo que permite avaliar, no mesmo procedimento, dois tipos de ansiedade: a ansiedade aprendida (esquiva inibitória), relacionada com o Transtorno de Ansiedade Generalizada (TAG), e a ansiedade inata (fuga), relacionada com Transtorno de Pânico (TP). O objetivo do estudo foi investigar os efeitos comportamentais induzidos pela cetamina em ratos expostos ao LTE e o possível envolvimento da via BDNF/ TrκB na MCP (matéria cinzenta periaquedutal) nesses efeitos. Os resultados mostraram que a cetamina de 10 e 30 mg/Kg (doses subanestésicas) administrada de forma aguda não alteraram o comportamento dos ratos no LTE. Já a dose anestésica (80 mg/Kg), prejudicou a fuga 1, o que pode sugerir efeito tipo-panicolítico rápido. Quando a cetamina 10 mg/Kg foi administrada 24 horas antes do teste no LTE, houve facilitação da Fuga 1, o que pode sugerir um efeito tipo-panicogênico tardio. Já a dose anestésica da cetamina administrada 24 horas antes do teste facilitou à esquiva, o que sugere um efeito tipo-ansiogênico tardio, e ao mesmo tempo prejudicou a fuga 1, sugerindo um efeito tipo-panicolítico persistente. E o 5-metil-10,11-dihidroxi-5Hdibenzo(a,d)ciclo-heten-5,10-imina ; 0,05mg/Kg (MK-801; 0,05 mg/Kg) 24 horas antes do teste não alterou o comportamento dos animais. Quando a cetamina foi administrada diretamente na MCPD (matéria cinzenta periaquedutal dorsal) observou-se que apenas a dose mais baixa, de 2µg, facilitou a fuga 1, o que caracteriza um efeito tipo-panicogênico rápido. Além disso, nenhum dos esquemas de administração e doses empregados alteraram a atividade locomotora dos animais no campo aberto. Para investigar o envolvimento da via de sinalização de BDNF/TrκB nos efeitos da cetamina e do MK-801 na ansiedade no LTE, foi realizado a quantificação de TrκB total e fosforilado nos resíduos 706/707 e 515 de tirosina (Y-706/707 e Y-515) da MCP de ratos. A cetamina 80mg/Kg e o MK-801 0,05 mg/Kg administrados agudamente antes da coleta da MCP, não induziram alteração estatisticamente significante na quantidade de pTrκB nos resíduos Y-706/707 e Y-515. Adicionalmente, a cetamina 10 e 80 mg/Kg, administrada aproximadamente 24 horas antes da coleta da MCP, não induziu alteração estatisticamente significante na quantidade de pTrκB no resíduo Y-706/707 e Y-515. Em conclusão, os resultados encontrados mostraram que a cetamina pode ter um efeito muito discreto no pânico, sendo que esse efeito depende tanto da dose quanto do esquema de administração. Ainda, pelo menos o efeito panicogênico da cetamina parece envolver a MCPD

A grande popularidade dos dispositivos móveis que provêm acesso ubíquo à Internet de banda larga, através de redes de rádio, e o volume de tráfego gerado por estes dispositivos estão aumentando a cada ano. Além disso, vem ampliando consideravelmente a frequência com que usuários de dispositivos móveis estão usando serviços baseados na Web. Alguns destes usuários podem estar acessando serviços que precisam de transmissão contínua como, por exemplo, vídeos interativos, outros podem estar apenas lendo e-mails, o que não exige um fluxo contínuo de dados. Mais do que isso, usuários com altos níveis de sinal podem atingir melhores taxas de transferência do que os com níveis menores. Portanto, encontrar a melhor relação entre os usuários que estão acessando serviços sensíveis ao atraso e aqueles que maximizam a taxa de transferência, e ainda ser justo na transmissão, é um relevante desafio para o escalonamento dos recursos de uma rede sem fio. Embora as pesquisas de escalonamento de recursos em redes sem fio tenham evoluído neste sentido, o recente aumento do volume de tráfego mencionado pode levar a uma sobrecarga no sistema, comprometendo o escalonamento. A fim de enfrentar estes desafios, o Orthogonal Frequency Division Multiple Access (OFDMA), tecnologia fundamental para o acesso múltiplo em redes de quarta geração, tem sido considerado também para ser utilizado na próxima geração de rádios móveis. Para implementar um serviço efetivo aos usuários, requisitos, tais como, altas taxas de transferência, tolerância baixa ao atraso, minimização da perda de pacotes e maximização da justiça no escalonamento, devem somar-se à característica, de alta densidade de usuários, que surgiu após o advento da popularização dos dispositivos móveis. Portanto, novas estratégias de escalonamento devem ser idealizadas. Nesta dissertação, deu-se um passo além na proposição de um escalonador para as redes móveis de próxima geração, que busca melhorar a relação entre taxa de transferência e atraso, consequentemente, levando a maiores índices de justiça no escalonamento resultante. O escalonador foi especialmente desenvolvido para lidar com altas densidades de usuários, inerentes às redes modernas, e as redes LTE foram utilizadas como caso de estudo. Desta forma, um novo escalonador ótimo que considera provisão dos requisitos acima mencionados, é modelado. Além disso, uma nova heurística parametrizável, baseada na qualidade do canal do usuário, no atraso permitido por cada serviço e na justiça do escalonamento é proposta, a fim de lidar com cenários sobrecarregados. Resultados demonstram que a abordagem de escalonamento proposta leva a uma taxa de transferência apenas 7,5% menor que os valores ótimos, com 25% a menos de perda de pacotes em cenários sobrecarregados. O modelo também garante que o escalonamento resultante seja pelo menos 0,91 na escala do índice de justiça de Jain. Finalmente, os resultados mostram uma melhor relação entre a eficiência espectral e as métricas de QoS. / The huge popularity of mobile devices that provides a ubiquitous Internet broadband access via radio networks and the volume of traffic generated by these devices in the base stations are increasing every year. Furthermore, the frequency which, mobile users are using web-based services, is increasing, requiring high transfer rates such as transmission of interactive videos. These factors have become the main challenges for the scheduling of radio resources. In order to meet these challenges, the Orthogonal Frequency Division Multiple Access (OFDMA), a key technology for multiple access in fourth generation networks, has also been considered for use in next-generation mobile radios. To implement an effective service to users, requirements such as high transfer rates, lower delay tolerance, minimum packet loss and maximum scheduling fairness, should be added to the requirements that emerged after the advent of the popularity of mobile devices. Therefore, new scheduling strategies should be projected. Despite efforts to solve the downlink (DL) scheduling problem on wireless networks, we are not aware of previous attempts that have addressed the above requirements in a single strategy. In this thesis, we took a step further in this direction and still considering the high densities in small cells inherent in modern networks. In additional, we address the radio DL resource scheduling problem for multiple users using LTE networks as a case study. A new optimal scheduler is modeled regarding Quality of Service (QoS) provisioning. In addition, a parameterized heuristic based on user channel quality and service delay is proposed to reach scheduling solutions for overbooked scenarios. Results demonstrate that the proposed scheduling approaches led to a throughput of 7.5% lower than the optimal ones and 25% lower packet losses in overloaded scenarios. Our model also ensures that the resultant scheduling is at least as fair as 0.91 in Jain fairness index. Additionally, the obtained results show a reasonable trade-off between spectral efficiency and QoS metrics.

Next-generation wireless cellular networks are morphing into a massive Internet of Things (IoT) environment that integrates a heterogeneous mix of wireless-enabled devices such as unmanned aerial vehicles (UAVs) and connected vehicles. This unprecedented transformation will not only drive an exponential growth in wireless traffic, but it will also lead to the emergence of new wireless service applications that substantially differ from conventional multimedia services. To realize the fifth generation (5G) mobile networks vision, a new wireless radio technology paradigm shift is required in order to meet the quality of service requirements of these new emerging use cases. In this respect, one of the major components of 5G is self-organized networks. In essence, future cellular networks will have to rely on an autonomous and self-organized behavior in order to manage the large scale of wireless-enabled devices. Such an autonomous capability can be realized by integrating fundamental notions of artificial intelligence (AI) across various network devices. In this regard, the main objective of this thesis is to propose novel self-organizing and AI-inspired algorithms for optimizing the available radio resources in next-generation wireless cellular networks. First, heterogeneous networks that encompass licensed and unlicensed spectrum are studied. In this context, a deep reinforcement learning (RL) framework based on long short-term memory cells is introduced. The proposed scheme aims at proactively allocating the licensed assisted access LTE (LTE-LAA) radio resources over the unlicensed spectrum while ensuring an efficient coexistence with WiFi. The proposed deep learning algorithm is shown to reach a mixed-strategy Nash equilibrium, when it converges. Simulation results using real data traces show that the proposed scheme can yield up to 28% and 11% gains over a conventional reactive approach and a proportional fair coexistence mechanism, respectively. In terms of priority fairness, results show that an efficient utilization of the unlicensed spectrum is guaranteed when both technologies, LTE-LAA and WiFi, are given equal weighted priorities for transmission on the unlicensed spectrum. Furthermore, an optimization formulation for LTE-LAA holistic traffic balancing across the licensed and the unlicensed bands is proposed. A closed form solution for the aforementioned optimization problem is derived. An attractive aspect of the derived solution is that it can be applied online by each LTE-LAA small base station (SBS), adapting its transmission behavior in each of the bands, and without explicit communication with WiFi nodes. Simulation results show that the proposed traffic balancing scheme provides a better tradeoff between maximizing the total network throughput and achieving fairness among all network ows compared to alternative approaches from the literature. Second, UAV-enabled wireless networks are investigated. In particular, the problems of interference management for cellular-connected UAVs and the use of UAVs for providing backhaul connectivity to SBSs are studied. Speci cally, a deep RL framework based on echo state network cells is proposed for optimizing the trajectories of multiple cellular-connected UAVs while minimizing the interference level caused on the ground network. The proposed algorithm is shown to reach a subgame perfect Nash equilibrium upon convergence. Moreover, an upper and lower bound for the altitude of the UAVs is derived thus reducing the computational complexity of the proposed algorithm. Simulation results show that the proposed path planning scheme allows each UAV to achieve a tradeoff between minimizing energy efficiency, wireless latency, and the interference level caused on the ground network along its path. Moreover, in the context of UAV-enabled wireless networks, a UAV-based on-demand aerial backhaul network is proposed. For this framework, a network formation algorithm, which is guaranteed to reach a pairwise stable network upon convergence, is presented. Simulation results show that the proposed scheme achieves substantial performance gains in terms of both rate and delay reaching, respectively, up to 3.8 and 4-fold increase compared to the formation of direct communication links with the gateway node. Overall, the results of the different proposed schemes show that these schemes yield significant improvements in the total network performance as compared to current existing literature. In essence, the proposed algorithms can also provide self-organizing solutions for several resource management problems in the context of new emerging use cases in 5G networks, such as connected autonomous vehicles and virtual reality headsets.

<p>In order to be competitive with emerging mobile systems and to satisfy the ever growing request for higher data rates, the 3G consortium, 3rd Generation Partnership Project (3GPP), is currently developing concepts for a long term evolution (LTE) of the 3G standard. The LTE-concept at Ericsson is based on Orthogonal Frequency Division Multiplexing (OFDM) as downlink air interface. OFDM enables the use of frequency domain link adaptation to select the most appropriate transmission parameters according to current channel conditions, in order to maximize the throughput and maintain the delay at a desired level. The purpose of this thesis work is to study, implement and evaluate different link adaptation algorithms. The main focus is on modulation adaptation, where the differences in performance between time domain and frequency domain adaptation are investigated. The simulations made in this thesis are made with a simulator developed at Ericsson. Simulations show in general that the cell throughput is enhanced by an average of 3% when using frequency domain modulation adaptation. When using the implemented frequency domain power allocation algorithm, a gain of 23-36% in average is seen in the users 5th percentile throughput. It should be noted that the simulations use a realistic web traffic model, which makes the channel quality estimation (CQE) difficult. The CQE has great impact on the performance of frequency domain adaptation. Throughput improvements are expected when using an improved CQE or interference avoidance schemes. The gains with frequency domain adaptation shown in this thesis work may be too small to motivate the extra signalling overhead required. The complexity of the implemented frequency domain power allocation algorithm is also very high compared to the performance enhancement seen.</p>

The 3GPP Long Term Evolution (LTE) is considered as a dominant future cellular wireless technology in terms of performance and user experience. With technological advancement of the wireless networks, dependencies and business impact of the mobile network services have increased phenomenally. It is, therefore, crucial to address the issues regarding network infrastructure or service failure. In this thesis, a self-healing solution is presented for the LTE Evolved Packet Core (EPC) with a view to maintaining service continuity in the event of core network elements - the MME and S-GW failures. The core network element failures have significant impact on a larger number of subscribers in comparison to the access network element failures. In the proposed self-healing scheme, the restoration mechanisms and associate failover recovery procedures with regards to service survivability are described in details from the LTE network and protocol perspective. This thesis studies two different self-healing approaches - the centralized active-backup and distributed active-active and conducts simulation for each approach in various failure scenarios. The performances of each of these scenarios are evaluated in terms of service restoration time, throughput, EPS (Evolved Packet System) bearer delay etc. The results show that the proposed self-healing system can ensure service continuity at a certain level if resources are properly provisioned. And in terms of restoration delay, in general, the active-backup configuration performs better than the active-active configuration. The thesis presents analytical and simulation methods to estimate signaling message overhead at the LTE EPC that arises due to the recovery process. It also analyzes the bandwidth requirements of the signaling traffic that is incurred by the other operational procedures of the self-healing scheme and their ramification to the LTE core network. / UOIT