Paper Info
Title
Sealed Bid Single Price Auction Model (Sbspam)-Based Resource Allocation For 5g Networks
Abstract
The rapid increase in the number of devices associated with the cellular network; fulfilling their demands is one of the significant challenges for next-generation networks (5G). The existing schemes improve the network throughput by allowing to share the channels between the cellular user (CU) and device-to-device (D2D) users in one-to-one or one-to-many manners. However, none of the existing schemes does deal with minimizes the usage of resource blocks as well as improve network throughput. Therefore, in this paper, we propose a sealed bid single price auction model-based resource allocation scheme for 5G networks. The proposed scheme is divided into two steps. In the first step, cellular user broadcast a beacon packet into a network for identifying the nearby cellular users those are in the same mode. Nearby cellular users responded immediately to the broadcasted cellular user for forming a group. In the second step, the base station will perform a sealed bid single price auction model among participant cellular users with the amount of data to be transferred at the base station side and signal-to-interference plus noise ratio (SINR) as their valuations for bidding. The winner of this auction model forms a D2D pair with broadcasted cellular users, and both cellular users will send data with a single resource block. The proposed scheme not only reduces the usage of resource block it also increases the throughput of the network. Moreover, our results show that the proposed scheme achieves a performance gain in terms of the average system sum rate compared to existing resource allocation schemes.
Year
DOI
Venue
2021
10.1007/s11277-020-07814-0
WIRELESS PERSONAL COMMUNICATIONS
Keywords
DocType
Volume
Auction theory, Cellular user, D2D user, Resource block
Journal
116
Issue
ISSN
Citations 
3
0929-6212
0
PageRank 
References 
Authors
0.34
0
2
Name
Order
Citations
PageRank
Panduranga Ravi Teja100.34
Pavan Kumar Mishra273.88