Efficient Scheduling Techniques for Performance Enhancement in Networks

Abstract

In this work, a study on a novel Multiple- Input, Multiple-Output (MIMO) technique called Multiple Packet Transmission (MPT), with which the sender can send more than one packet to two distinct users simultaneously. Traditionally, in wireless networks, it is assumed that one device can send a data packet to only one receiving device at a given time. However, this restriction is no longer true if the sender has more than one antenna, by processing the data according to the channel state, the sender can send distinct packets to distinct users simultaneously. Problems related to MPT are seen and provided solutions. Here the problem of sending out buffered packets in minimum time is being formalized as finding a maximum matching algorithm. Since maximum matching algorithms are relatively complex and may not meet the speed of real-time applications, packet scheduling techniques from some algorithms like the Dijkstra’s algorithm, the Linear Time ¾ Maximum Matching algorithm and Edmond’s blossom algorithm are considered to enhance the downlink transmission, thereby improving the overall performance in wireless networks by using MPT. In this work the main concern is how to enhance the downlink performance in the wireless networks using the simultaneous behavior of multiple packet transmission. During the course of doing this paper, it becomes possible to learn Java functionalities by understanding the working of profiling java tools, features of wireless networks and implementing these algorithms.