Exploiting Multiuser Diversity with Capture in Wireless Communication Networks

2008 IEEE International Conference on Communications

2008

With the aid of rate adaptation, multiuser diversity can be exploited in wireless networks by allowing the mobile user with the best channel to use the channel. However, polling mobile stations to obtain channel state information in large networks can result in large overhead, outweighing the multiuser diversity gain. Multiuser Diversity with Capture (MDC) is a wireless medium access control protocol that explicitly employs the capture effect to overcome the overhead problem. In this paper, we analyse the goodput performance of MDC over Rayleigh fading channels and compare it with the Medium Access Diversity (MAD) scheme proposed in the literature. Our results show that MDC is effective in networks with radio receivers possessing reasonably good capture properties and in networks where the number of mobile stations is reasonably large.

Section: Introductionmentioning

confidence: 68%

Section: Numerical Resultsmentioning

confidence: 99%

Section: Step 5 Data Packet Transmissionmentioning

confidence: 99%

“…As in [10], we use the capture ratio model to characterise the capture effect. Let n > 1 be the number of responding MSs and v 1 , v 2 , .…”

Section: B Capture Modelmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Performance Analysis of Multiuser Diversity with Capture for Wireless Networks

Foo

2008 IEEE International Conference on Communications

2008

Improving fairness in multiuser diversity with capture

Foo

2009 7th International Conference on Information, Communications and Signal Processing (ICICS)

2009

In a wireless network, multiuser diversity can be exploited by allowing the mobile user with the best channel to use the channel. However, the overhead incurred in polling channel state information (CSI) can overshadow the multiuser diversity gain. In our previous work, we proposed a Multiuser Diversity with Capture (MDC) scheme to reduce the overhead by taking advantage of the fact that only the channel state information of the mobile station (MS) with the best channel is required to be available at the base station (BS). In this paper, we propose Fairer Multiuser Diversity with Capture (FMDC) to improve the fairness performance of MDC. We also develop a fairness measure for wireless systems that exploit multiuser diversity. By simulations, we evaluate the goodput and temporal fairness performance for FMDC, MDC and the Medium Access Diversity (MAD) schemes proposed in the literature. Our results show that with a small degradation in goodput performance, FMDC achieves much better fairness performance than MDC. Furthermore, FMDC achieves much better goodput performance than MAD, with comparable fairness performance.Index Terms-multiuser diversity, capture effect, IEEE 802.11a, channel state information, fairness

Throughput analysis of user identification for wireless local area networks

2009 7th International Conference on Information, Communications and Signal Processing (ICICS)

2009

Multi-user diversity can be exploited in a wireless communication network to significantly increase system throughput through allocating the channel to the user with the best instantaneous channel condition. However, the overhead incurred in polling channel state information (CSI) in a large network can outweigh the gain of multi-user diversity. In our previous work, a user identification approach (UIDA) was proposed to reduce the system overhead. In this paper, we present a theoretical upper bound of the throughput of UIDA over general channels. Computer simulations show that the expected throughput of UIDA matches the theoretical upper bound closely over frequency-selective fading channels. Also, we apply UIDA in 802.11a systems. Simulation results show that it achieves better throughput performance than that of Medium Access Diversity (MAD) and Multi-user Diversity with Capture (MDC) in the literature, when there are a reasonably large number of mobile stations.