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Kavitha, N.
- Opportunities and Challenges in High Mobility Wireless Communication- 5G
Authors
1 Department of Computer Science, Nehru Arts and Science College, IN
2 Department of Computer Technology, Sri Krishna Arts and Science College, Coimbatore, IN
3 Department of Computer Science, Sri Krishna Arts and Science College, Coimbatore, IN
Source
Wireless Communication, Vol 10, No 1 (2018), Pagination: 7-8Abstract
Wireless communication is used to be connection between two or more gadgets’ to share the data and information without physical wired connection. Frequently wireless communication starting 1G-4G (Now days using 4G network).In day to day life the internet users and user needs also increased. All technologies also upgraded in advanced versions. In networking field also expected in High Mobility Wireless communication (HMWC)-5G.5G network to support large amount of data as well as reliability and security. 5G network is expected to create “Network of networks”. Now a day user’s mostly using 3G and 4G networks. 3G networks support multimedia services but power consumption is high and then after 4G networks was introduced.4G network have a high data transfer rate to reach in 100Mpbs. It is supports LTE (Long Term Evolution)for data as well as voice. But, 5G network provide broadcasting of data in Gigabit (Gbps) which supporting almost 65,000 connections. This paper focuses on opportunities and challenges in 5G, avoidance of network traffic and data delivery speed of the users.
Keywords
High Mobility Wireless Communication, Long Term Evolution, Mpbs, Gigabit.
References
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- A Literature Survey on Big Data
Authors
1 Department of Computer Science, Nehru Arts and Science College, Coimbatore-641105, IN
2 Department of Computer Science, Nehru Arts and Science College, Coimbatore-641105, IN
Source
Wireless Communication, Vol 10, No 1 (2018), Pagination: 9-11Abstract
This survey presents the concept of big data. It has a set of techniques and tools that needs new forms of integration to uncover data from different datasets that are complex, and massive scale. It is difficult to process the big data because everyday quintillion data are generated. The challenges include analysis, capture, search, store, transfer, visualize, and privacy violations. This paper focused on big data with different tools and techniques.Keywords
Big Data, Hadoop, Map Reduce, Apache Hive, No SQL and HDFS.References
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