Title
Distributed Opportunistic Scheduling For Ad-Hoc Communications Under Noisy Channel Estimation
Abstract
Distributed opportunistic scheduling is studied for wireless ad-hoc networks, where many links contend for one channel using random access. In such networks, distributed opportunistic scheduling (DOS) involves a process of joint channel probing and distributed scheduling. It has been shown that under perfect channel estimation, the optimal DOS for maximizing the network throughput is a pure threshold policy. In this paper, this formalism is generalized to explore DOS under noisy channel estimation, where the transmission rate needs to be backed off from the estimated rate to reduce the outage. It is shown that the optimal scheduling policy remains to be threshold-based, and that the rate threshold turns out to be a function of the variance of the estimation error and be a functional of the backoff rate function. Since the optimal backoff rate is intractable, a suboptimal linear backoff scheme that backs off the estimated signal-to-noise ratio (SNR) and hence the rate is proposed. The corresponding optimal backoff ratio and rate threshold can be obtained via an iterative algorithm. Finally, simulation results are provided to illustrate the tradeoff caused by increasing training time to improve channel estimation at the cost of probing efficiency.
Year
DOI
Venue
2008
10.1109/ICC.2008.698
2008 IEEE INTERNATIONAL CONFERENCE ON COMMUNICATIONS, PROCEEDINGS, VOLS 1-13
Keywords
DocType
Volume
throughput,ad hoc networks,noise reduction,signal to noise ratio,scheduling
Conference
abs/0802.4282
ISSN
Citations 
PageRank 
1550-3607
7
0.52
References 
Authors
3
5
Name
Order
Citations
PageRank
Dong Zheng130619.37
Man-On Pun272247.90
Weiyan Ge323216.28
Junshan Zhang42905220.99
H. V. Poor5254111951.66