|
Title:
|
AN OPPORTUNISTIC SCHEDULING ALGORITHM FOR MIMO WIRELESS NETWORKS THROUGH FUZZY LOGIC |
|
Author(s):
|
Hakk? Soy, Özgür Özdemir |
|
ISBN:
|
978-989-8533-56-2 |
|
Editors:
|
Hans Weghorn |
|
Year:
|
2016 |
|
Edition:
|
Single |
|
Keywords:
|
Wireless networks, opportunistic scheduling, multiple antennas, diversity combining, fairness, fuzzy logic |
|
Type:
|
Full Paper |
|
First Page:
|
67 |
|
Last Page:
|
74 |
|
Language:
|
English |
|
Cover:
|
|
|
Full Contents:
|
click to dowload 
|
|
Paper Abstract:
|
Wireless networks often use a TDMA schedule to collect data periodically from multiple nodes. Fairness and throughput are important performance metrics that are usually used to analyze and compare the effectiveness of different scheduling algorithms. In this paper, we propose a fuzzy logic based scheduling algorithm to improve both the throughput and fairness in MIMO wireless cellular networks. Our aim is show how the channel aware opportunistic scheduler can balance the trade-off between the throughput and fairness. Proposed adaptive scheduler calculates the priority index of each node according to instantaneous channel quality fed back from nodes and fair distribution of channel assignment for a block-fading channel model. The nodes with strong channel quality and rare channel access are more fortunate to have opportunity for channel assignment. The validation of proposed algorithm is shown through statistical simulations against well-known algorithms for different antenna configurations. The obtained results show that proposed algorithm can improve the fairness but at the expense of slight throughput loss compared to pure opportunistic scheduling algorithms. |
|
|
|
|
|
|
