Abstract
In this era of the digital world, data play a central role and are continuously challenging spectrum efficiency. With the introduction of enriched multimedia user-generated content, the challenges are even more aggravated. In this vein, uplink caching is considered as one of the promising solutions to effectively cater the user’s demands. One of the main challenges for uplink caching is duplication elimination. In this paper, a cache enabled uplink transmission with a duplication elimination scheme is proposed. The proposed scheme matches the mobile’s data to be uploaded with the cached contents both at mobile station (MS) and small base station (SBS). In contrast to existing techniques, the proposed scheme broadcasts the cached contents at an SBS to all the MSs under its footprint. This provides MS an opportunity to exploit the list of cached contents before uploading its data. A MS only uploads its data if it is not already cached at an SBS. This significantly reduces duplication before the real transmission takes place. Furthermore, the proposed technique reduces energy consumption in addition to improving spectral efficiency and network throughput. Besides, a higher caching hit ratio and lower caching miss ratio are also observed as compared to other schemes. The simulation results reveal that the proposed scheme saves 97% energy for SBS, whereas 96–100% energy is saved for MS on average.
Highlights
With the rising number of internet-supported devices, the amount of data uploaded or downloaded has substantially increased
4.3.3 Matching algorithm We propose a new scheme for matching the common types of content mostly shared between users are havingtheir own or different attributes
This is because the matching and duplication of similar contents are handled locally at the mobile station (MS) level which is reduced the amount of redundant communication and decrease the power consumption of small base station (SBS) to reception and forwarding the number of contents which mobiles intended to uploading
Summary
With the rising number of internet-supported devices, the amount of data uploaded or downloaded has substantially increased. Some of the proposed solutions for uplink caching at cloud and data centers have resulted in an increased resource consumption and communication cost In this endeavor, we strive to answer the following fundamental questions: Which contents are to be uploaded and cached? That architecture reduced upload time and achieved a stable transmission throughput for MSs. In [27], the authors studied the performance of 3G mobile data offloading at WiFi networks. In [32], the authors presented a theoretical framework for (1) cache-enabled uplink transmission in wireless small cell networks, (2) duplicate elimination of similar contents at SBS via matching the hash key of chunks of the file after uploading real content, (3) cache management by using FIFO, random and probabilistic content scheduling strategies.
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