Name
Abstract | ||
|---|---|---|
Recent years have seen the growing popularity of multi-rate wireless network devices (e.g., 802.11a cards) that can exploit variations in channel conditions and improve overall network throughput. Concurrently, rate adaptation schemes have been developed that selectively increase data transmissions on a link when it offers good channel quality. In this paper, we propose a Medium Access Diversity (MAD) scheme that leverages the benefits of rate adaptation schemes by aggressively exploiting multiuser diversity. The basic mechanism of MAD is to obtain instantaneous channel condition information from multiple receivers and selectively transmit data to a receiver that improves the overall throughput of the network, while maintaining temporal fairness among multiple data flows. We identify and address the challenges in the design and implementation of MAD's three phases: channel probing, data transmission, and receiver scheduling. We also use analytical models to examine the tradeoff between network performance improvement and overhead of channel probing, and derive an asymptotic performance bound for the receiver scheduling algorithms used by MAD. Results from the analysis and the extensive simulations demonstrate that, on average, MAD can improve the overall throughput of IEEE 802.11 wireless LANs by 50% as compared with the best existing rate adaptation scheme. |
Year | DOI | Venue |
|---|---|---|
2004 | 10.1145/1023720.1023754 | MobiCom |
Keywords | Field | DocType |
exploiting medium access diversity,overall throughput,multi-rate wireless network device,good channel quality,network performance improvement,multiple data flow,rate adaptive wireless lans,channel condition,receiver scheduling,data transmission,instantaneous channel condition information,rate adaptation scheme,wireless network,scheduling,scheduling algorithm,data flow,network performance | Wireless network,Data transmission,Scheduling (computing),Computer science,Computer network,Communication channel,Exploit,Maximum throughput scheduling,Throughput,Distributed computing,Network performance | Conference |
ISBN | Citations | PageRank |
1-58113-868-7 | 117 | 7.91 |
References | Authors | |
16 | 5 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Zhengrong Ji | 1 | 226 | 17.26 |
| Yi Yang | 2 | 890 | 39.26 |
| Junlan Zhou | 3 | 978 | 47.01 |
| Mineo Takai | 4 | 893 | 127.45 |
| Rajive Bagrodia | 5 | 2754 | 360.20 |