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Quarterly published in print and online "Inventi Impact: Telecom" publishes high quality unpublished as well as high impact pre-published research and reviews catering to the needs of researchers and professionals. This multidisciplinary journal deals with all the aspects related to telecommunication systems. The journal welcomes articles dealing with performance evaluation of wide area and local networks; network interconnection; wire, wireless, adhoc, mobile networks; fiberoptics and photonic switching; dynamics and capacity expansion of telecommunication systems; pricing for networking and telecommunication services; configuring telecommunication systems with reliability and availability; standardization and regulatory issues; security, privacy and encryption in telecommunication systems; cellular, mobile and satellite based systems.
In this paper we are going to briefly discuss about wireless communication and mobile or cellular technology. As the word suggest term “WIRELESS” means having “NO WIRES”. Communication is done without use of any cables via radio waves known as electromagnetic waves. Cellular technology which evolved from 1G, 2G, 3G, 4G to upcoming 5G in next few years. We are going to discuss about this wireless mobile Technology and comparative analysis of it....
5G encompasses the development of various key wireless communication technology standards. The development entails both\ntechnological advancement and social interaction. This paper analyzes 5G development and its significant shift from a strategy\npolicy to a user-oriented development showing the coplay of technology and society in China. Based on this theory, relevant\nproposals are recommended for future technical development and industrial regulation. Also, to increase the throughput and\nspectrum efficiency, channel assignment and load balance are considered. A hybrid routing protocol TOHRP (tree-based and ondemand\nhybrid routing protocol) and a distributed channel assignment algorithm LBCA (Load Based Channel Assignment) in the\nmultichannel environment are proposed and they solve the traditional problem of (1) waste of spectrum and (2) self-interference.\nThe computer-simulated experiment shows that the algorithm improves the performance....
In the new era, the arrival of 5G has added a lot of fun and beauty to our lives, allowing us to enjoy the happiness brought by the
network even more. The 5th Generation mobile technology (5G for short) is a new generation of broadband mobile communication
technology with features such as higher speed, lower latency, and massive connectivity. Moreover, this is a network
infrastructure that, in fact, realizes the interconnections among humans, computer machines, and sensors/things, i.e., Internet of
things. The world can now be characterized as a whole global village. The 5 G, mobile edge computing networks, and cloud-edge
collaborative computing allow us to communicate and share information on the cloud networks, allowing us to better understand
the global village. Based on cloud-edge collaborative computing for 5G edge networks, this study builds a task scheduling
algorithm, which will help us to check network defects and make better use of the 5G technology to serve customers. Experimental
results demonstrate the extra efficiency of the proposed algorithm over the closest rivals....
The rapid development of web technology has brought new problems and challenges to the recommendation system: on the one
hand, the traditional collaborative filtering recommendation algorithm has been difficult to meet the personalized
recommendation needs of users; on the other hand, the massive data brought by web technology provides more useful
information for recommendation algorithms. How to extract features from this information, alleviate sparsity and dynamic
timeliness, and effectively improve recommendation quality is a hot issue in the research of recommendation system
algorithms. In view of the lack of an effective multisource information fusion mechanism in the existing research, an improved
5G multimedia precision marketing based on an improved multisensor node collaborative filtering recommendation algorithm
is proposed. By expanding the input vector field, the features of users’ social relations and comment information are extracted
and fused, and the problem of collaborative modelling of these two kinds of important auxiliary information is solved. The
objective function is improved, the social regularization term and the internal regularization term in the vector domain are
analysed and added from the perspective of practical significance and vector structure, which alleviates the overfitting problem.
Experiments on a large number of real datasets show that the proposed method has higher recommendation quality than the
classical and mainstream baseline algorithm....
To meet the requirements of 5G mobile networks, several radio access technologies, such as millimeter wave\ncommunications and massive MIMO, are being proposed. In addition, cloud radio access network (C-RAN) architectures are\nconsidered instrumental to fully exploit the capabilities of future 5G RANs. However, RAN centralization imposes stringent\nrequirements on the transport network, which today are addressed with purpose-specific and expensive fronthaul links. As\nthe demands on future access networks rise, so will the challenges in the fronthaul and backhaul segments. It is hence of\nfundamental importance to consider the design of transport networks alongside the definition of future access\ntechnologies to avoid the transport becoming a bottleneck. Therefore, we analyze in this work the impact\nthat future RAN technologies will have on the transport network and on the design of the next generation\nfronthaul interface. To understand the especially important impact of varying user traffic, we utilize measurements from a\nreal-world 4G network and, taking target 5G performance figures into account, extrapolate its statistics to a 5G scenario.\nWith this, we derive both per-cell and aggregated data rate requirements for 5G transport networks. In addition, we show\nthat the effect of statistical multiplexing is an important factor to reduce transport network capacity requirements and\ncosts. Based on our investigations, we provide guidelines for the development of the 5G transport network architecture....
To meet the diverse industrial and market demands, the International Telecommunication\nUnion (ITU) has classified the fifth-generation (5G) into ultra-reliable low latency communications\n(URLLC), enhanced mobile broadband (eMBB), and massive machine-type communications (mMTC).\nResearchers conducted studies to achieve the implementation of the mentioned distributions efficiently,\nwithin the available spectrum. This paper aims to highlight the importance of URLLC in accordance\nwith the approaching era of technology and industry requirements. While highlighting a few\nimplementation issues of URLLC, concerns for the Internet of things (IoT) devices that depend on\nthe low latency and reliable communications of URLLC are also addressed. In this paper, the recent\nprogress of 3rd Generation Partnership Project (3GPP) standardization and the implementation of\nURLLC are included. Finally, the research areas that are open for further investigation in URLLC\nimplementation are highlighted, and efficient implementation of URLLC is discussed....
The forecast for future 10 yearsÃ¢â?¬â?¢ traffic demand shows an increase in 1000 scales and more than 100 billion connections of Internet\nof Things, which imposes a big challenge for future mobile communication technology beyond year 2020. The mobile industry is\nstruggling in the challenges of high capacity demand but low cost for future mobile network when it starts to enable a connected\nmobile world. 5G is targeted to shed light on these contradictory demands towards year 2020. This paper firstly forecasts the vision\nof mobile communicationÃ¢â?¬â?¢s application in the daily life of the society and then figures out the traffic trends and demands for next\n10 years from the Mobile Broadband (MBB) service and Internet of Things (IoT) perspective, respectively.The requirements from\nthe specific service and user demands are analyzed, and the specific requirements from typical usage scenarios are calculated by\nthe defined performance indicators. To achieve the target of affordable 5G service, the requirements from network deployment and\noperation perspective are also captured. Finally, the capabilities and the efficiency requirements of the 5G system are demonstrated\nas a flower. To realize the vision of 5G, Ã¢â?¬Å?information a finger away, everything in touch,Ã¢â?¬Â 5G will provide the fiber-like access data\nrate, Ã¢â?¬Å?zeroÃ¢â?¬Â latency user experience, and connecting to more than 100 billion devices and deliver a consistent experience across a\nvariety of scenarios with the improved energy and cost efficiency by over a hundred of times....
Channels of mobile satellite communications are affected by multipath fading and shadowing attenuation. At the same time,\ndiversity gains are believed to improve the transmission reliability in fading channels. Considering that the traditional Space-Time\nCoding (STC) is not suitable for the cooperative mobile satellite communication, in this paper, a new cooperative mobile satellite\ncommunication system is proposed based on the Dynamic Space-Time Coding (D-STC). The transmitting energy of the proposed\nscheme is saved by avoiding forwarding erroneous signals in cooperative users.Meanwhile, this system benefits from diversity gains\nand the transmission is robust. Additionally, a closed-form expression of the outage probability for the proposed scheme is derived,\nand then it is demonstrated that this scheme is much better than the existing non cooperative scheme and schemes with traditional\nSTCs in the outage performance. Finally, the analytical result is supported and validated by numerical simulations....
In the Internet of things (IoT), network devices and mobile systems should exchange a considerable amount of data with negligible\ndelays. For this purpose, the community has used the software-defined networking (SDN), which has provided high-speed flowbased\ncommunication mechanisms. To satisfy the requirements of SDN in the classification of communicated packets, highthroughput\npacket classification systems are needed. A hardware-based method of Internet packet classification that could be\nsimultaneously high-speed and memory-aware has been proved to be able to fill the gap between the network speed and the\nprocessing speed of the systems on the network in traffics higher than 100 Gbps. The current architectures, however, have not been\nsuccessful in achieving these two goals. This paper proposes the architecture of a processing micro-core for packet classification in\nhigh-speed, flow-based network systems. By using the hashing technique, this classifying micro-core fixes the length of the rules\nfield. As a result, with a combination of SRAM and BRAM memory cells and implementation of two ports on Virtex...................
Improving customer-perceived service quality is a critical mission of telecommunication service providers. Using 35 billion call\nrecords, we develop a call quality score model to predict customer complaint calls. The score model consists of two components:\nservice quality score and connectivity score models. It also incorporates human psychological impacts such as the peak and end\neffects. We implement a large-sized data processing system that manages real-time service logs to generate quality scores at the\ncustomer level using big data processing technology and analysis techniques. The experimental results confirm the validity of the\ndeveloped model in distinguishing probable complaint callers.With the adoption of the system, the first call resolution rate of the\ncall center increased from 45% to 73%, and the field engineer dispatch rate from 46% to 25%....
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