Exploring Opportunities In Wireless Big Data services With Ksolves

Big Data

5 MIN READ

December 8, 2021

Big data

Big data is the most fascinating world used today. With the expansion of devices in human lives, the amount of data that is being generated is increasing exponentially each day. Wireless networks are creating quite a wave. The processing of big data created by them not only provides valuable insights but also gives us the opportunity for further improvements.

With Ksolves’ big data services we will discuss and explore opportunities created by wireless big data.

What do you mean by Wireless big data?

Wireless big data refers to the massive amount of data that is generated, collected, and stored in a wireless network. This data comes when the users and devices utilize the wireless networks platform. The data is somewhat similar to traditional data but it has some unique characteristics and features and opens various possibilities of useful applications.

There are so many emerging technologies like 5G which have benefited several wireless operators, subscribers, and commercial firms. Wireless big data if deployed effectively and successfully, can benefit areas such as security, monitoring and traffic control. Here we are describing some of the areas where wireless big data services and applications can create an impact.

Network Management

The data generated from network probes and sensors are stored in network equipment. This data provides real-time information about the network and thus is used to generate alarms and to monitor other data. Data analytics and a mining help in automating anomaly and fault detection and identifying phenomena that cause these anomalies. The massive amount of data can be used as a training set so that the prediction models can predict future network events. This in turn can prevent network faults and service failures via proactive actions.

It can enhance network reliability without any excessive manual maintenance needed. Ksolves’ big data services can help you with network management.

Network Optimization

The spatial and temporal distribution of data can be very useful in optimizing network deployment and operations. Datasets that are relevant contain wireless traffic and user requests. These datasets incorporate the differences in data that spans various geographical areas.

Network Deployment

One of the areas for wireless big data services is Network operations. Network big data can optimize the process of allocating base stations. Spatial traffic load statistics and data analysis can be utilized to determine the number and location of base stations so that deployment costs can be minimized without compromising the quality of the big data service. Also, when deploying edge caches, the statistics of content requests help in optimizing the cache size to gain cost-effectiveness and make sure that the required content achieves profitability.

Network Operations

Analyzing real-time network data helps in improving the efficiency of the operations of the networks. Data mining helps in obtaining traffic demand patterns of small-cell base stations and can be tuned to save energy. Cache size is limited and that is why the data which is relevant is stored for quick retrieval.

The content variation can be updated by analyzing historical data and information. The cache can be revised so that it can incorporate the changes which can maximize the content hit rate.

Improved quality of Experience

You must know that the data usage profile depicts exclusive features such as content request preferences, mobility patterns,s, and daily unique habits. These features are quite unique to each other. This data will be taken to analysis and later it offers custom services that can improve user experience. We can identify the context by simply analyzing any user’s usage pattern. This comprises recognizing current applications, communication scenarios, perceived service quality, and most importantly user experience.

This will simplify the delivery of contextual resource allocation and adjustment of transmission parameters.

Ksolves’ Big data services

There is no doubt that wireless big data is offering endless opportunities for the coming generations. Wireless communication will gain immense popularity in the next 5-10 years and is here to stay. Ksolves is one of the best big data consulting companies in India and the USA. Our customized big data services have served various clients across the globe with the help of our highly-experienced big data experts. For further information on big data, write to us in the comment section below or give us a call to book a free demo.

Contact Us for any Query

Email: sales@ksolves.com

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AUTHOR

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Anil Kushwaha

Big Data

Anil Kushwaha, Technology Head at Ksolves, is an expert in Big Data and AI/ML. With over 11 years at Ksolves, he has been pivotal in driving innovative, high-volume data solutions with technologies like Nifi, Cassandra, Spark, Hadoop, etc. Passionate about advancing tech, he ensures smooth data warehousing for client success through tailored, cutting-edge strategies.

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