Strategi Alternatif Manajemen Spektrum dan Penataan Alokasi Pita Frekuensi 1800 MHz untuk Penerapan Teknologi LTE

Trafik pengguna mobile data untuk layanan akses internet senantiasa mengalami peningkatan dari tahun ke tahun terutama untuk penggunaan layanan mobile broadband dibanding dengan layanan fixed broadband. Kenaikan trafik mobile broadband secara eksponensial ini dipicu dengan munculnya berbagai macam aplikasi, android, jejaring sosial dan media content yang ditambah lagi dengan pertumbuhan berbagai macam perangkat smartphone, tablet, dan mobile PC yang menawarkan beraneka ragam fitur dan teknologi terkini. Teknologi LTE (Long Term Evolution) yang di-standarisasi oleh 3GPP (Third Generation Partnership Project) sebagai organisasi standar Internasional merupakan teknologi yang memberikan kecepatan data dan kapasitas yang besar. Dengan akses DL 100 Mbps dan UL 50 Mbps untuk standar teknologi LTE release 8. Sehingga menjadi salah satu solusi untuk mengatasi kenaikan trafik dari pengguna layanan mobile broadband. Dengan menggunakan metodologi dalam tahapan-tahapan pada proses RIA (Regulatory Impact Analysis), hal ini digunakan untuk memilih dan menentukan stategi alternatif tool spectrum management yang dipergunakan dan juga opsi refarming yang paling efektif termasuk dampak dari setiap masing-masing opsi tersebut. Metoda pendekatan voluntary spectrum redeployment dan penerapan netral teknologi yang dilakukan secara transparan dan terbuka melalui konsultasi publik dengan melibatkan stakeholder merupakan strategi alternatif spectrum management yang bisa diterapkan untuk melakukan proses refarming di pita frekuensi 1800 MHz di Indoensia. Dan instrumen spectrum management ini juga digunakan untuk melakukan penataan menyeluruh pita frekuensi 1800 MHz sehingga didapatkan jumlah total lebar bandwidth yang ideal dan kanal alokasi frekuensi yang berdekatan atau contiguous sehingga dapat digunakan dalam penerapan teknologi LTE

Coverage and Deployment Analysis of Narrowband Internet of Things in the Wild

Narrowband Internet of Things (NB-IoT) is gaining momentum as a promising technology for massive Machine Type Communication (mMTC). Given that its deployment is rapidly progressing worldwide, measurement campaigns and performance analyses are needed to better understand the system and move toward its enhancement. With this aim, this paper presents a large scale measurement campaign and empirical analysis of NB-IoT on operational networks, and discloses valuable insights in terms of deployment strategies and radio coverage performance. The reported results also serve as examples showing the potential usage of the collected dataset, which we make open-source along with a lightweight data visualization platform.Comment: Accepted for publication in IEEE Communications Magazine (Internet of Things and Sensor Networks Series

LTE-Advanced radio access enhancements: A survey

Long Term Evolution Advanced (LTE-Advanced) is the next step in LTE evolution and allows operators to improve network performance and service capabilities through smooth deployment of new techniques and technologies. LTE-Advanced uses some new features on top of the existing LTE standards to provide better user experience and higher throughputs. Some of the most significant features introduced in LTE-Advanced are carrier aggregation, enhancements in heterogeneous networks, coordinated multipoint transmission and reception, enhanced multiple input multiple output usage and deployment of relay nodes in the radio network. Mentioned features are mainly aimed to enhance the radio access part of the cellular networks. This survey article presents an overview of the key radio access features and functionalities of the LTE-Advanced radio access network, supported by the simulation results. We also provide a detailed review of the literature together with a very rich list of the references for each of the features. An LTE-Advanced roadmap and the latest updates and trends in LTE markets are also presented

Spectrum sharing in cognitive radio networks

Cognitive radio networks are the next step to tackle scarcity in wireless networks given the increasing demand of radioelectric spectrum where the proposed solution is to share said resource to improve this situation. In the present article, a review of the current state of spectrum sharing in cognitive radio networks. To achieve this purpose, the articles published over the last 4 years on the matter were reviewed including topics such as mobile networks and TV. Some studies and simulations proposed to share the spectrum is shown. The current state of the studies reveals that there has been significant progress in this research area yet it is necessary to continue similar studies and set in motion different schemes

Insights on Significant Implication on Research Approach for Enhancing 5G Network System

With the exponential growth of mobile users, there is a massive growth of data as well as novel services to support such data management. However, the existing 4G network is absolutely not meant for catering up such higher demands of bandwidth utilization as well as servicing massive users with similar Quality of service. Such problems are claimed to be effectively addressed by the adoption of 5G networking system. Although the characteristics of 5G networking are theoretically sound, still it is under the roof of the research. Therefore, this paper presents a discussion about the conventional approach as well as an approach using cognitive radio network towards addressing the frequently identified problems of energy, resource allocation, and spectral efficiency. The study collects the existing, recent researches in the domain of 5G communications from various publications. Different from existing review work, the paper also contributes towards identifying the core research findings as well as a significant research gap towards improving the communication in the 5G network system

A Survey on the 5th Generation of Mobile Communications: Scope, Technologies and Challenges

The 5th Generation (5G) of mobile communicationswill impact the costumers Quality of Experience (QoE) by ad-dressing the current mobile networks usage trends and providingthe technological foundation for new and emerging services.Additionally, 5G may provide a unified mobile communicationplatform, with multiple purposes, leveraging industries, servicesand economic sectors. In this paper, a 5G tutorial is presented,including the 5G drivers, main use cases, vertical markets anda current status of the standardization process. Furthermore,several 5G key enabling technologies are presented, concerningthe Radio Access Network (RAN) and Core Network (CN)perspectives. Finally, a brief outline over the Internet of Things(IoT) concept and current research topics is presented

Spectrum Matching in Licensed Spectrum

Spectrum sharing is one of the promising solutions to meet the spectrum demand in 5G networks that results from the emerging services like machine to machine and vehicle to infrastructure communication. The idea is to allow a set of entities access the spectrum whenever and wherever it is unused by the licensed users. In the proposed framework, different spectrum provider (SP) networks with surplus spectrum available may rank the operators requiring the spectrum, called spectrum users (SUs) hereafter, differently in terms of their preference to lease spectrum, based for example on target business market considerations of the SUs. Similarly, SUs rank SPs depending on a number of criteria, for example based on coverage and availability in a service area. Ideally, both SPs and SUs prefer to provide/get spectrum to/from the operator of their first choice, but this is not necessarily always possible due to conflicting preferences. We apply matching theory algorithms with the aim to resolve the conflicting preferences of the SPs and SUs and quantify the effect of the proposed matching theory approach on establishing preferred (spectrum) provider-user network pairs. We discuss both one-to-one and many-to-one spectrum sharing scenarios and evaluate the performance using Monte Carlo simulations. The results show that comprehensive gains in terms of preferred matching of the provider-user network pairs can be achieved by applying matching theory for spectrum sharing as compared to uncoordinated spectrum allocation of the available spectrum to the SUs

Spectrum sharing in Cognitive Radio Networks

Las redes de radio cognitivas son el siguiente paso para abordar la escasez de redes inalámbricas dado el aumento demanda de espectro radioeléctrico donde la solución propuesta es compartir dicho recurso para mejorar este situación. En el presente artículo, una revisión del estado actual del espectro compartido en las redes de radio cognitivas. Para lograr este propósito, se revisaron los artículos publicados en los últimos 4 años sobre la materia incluyendo temas como redes móviles y televisión. Algunos estudios y simulaciones propuestos para compartir el espectro son mostrados. El estado actual de los estudios revela que se han producido importantes avances en esta área de investigación sin embargo, es necesario continuar estudios similares y poner en marcha diferentes esquemas.Cognitive radio networks are the next step to tackle scarcity in wireless networks given the increasing demand of radioelectric spectrum where the proposed solution is to share said resource to improve this situation. In the present article, a review of the current state of spectrum sharing in cognitive radio networks. To achieve this purpose, the articles published over the last 4 years on the matter were reviewed including topics such as mobile networks and TV. Some studies and simulations proposed to share the spectrum are shown. The current state of the studies reveals that there has been significant progress in this research area yet it is necessary to continue similar studies and set in motion different schemes