“…We also use simulation results to verify the analytical results and we find that they match. We compare the goodput performance of MDC with MAD from numerical results and the same conclusions as in [10] are found. Further, we find that the goodput performance of MDC approaches an asymptotic lower bound as the capture ratio increases, and this lower bound is still better than the goodput performance of MAD.…”
Section: Introductionmentioning
confidence: 68%
“…In our analysis, we use the wireless LAN (i.e. IEEE 802.11a) rate adaptation policy as described in [11] and in our earlier work [10]. The numerical results for the goodput performance of MAD is obtained using order statistic analysis.…”
Section: Numerical Resultsmentioning
confidence: 99%
“…Data Packet Acknowledgement Upon the successful reception of the data packet, MS w replies with an acknowledgement (ACK) packet. As noted in [10], the operation of the MDC protocol is similar for uplink data transmission, but the CSIF packet is not needed. After MS w receives the CA packet in Step 3, it has an estimate of its own channel state Γ w .…”
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%
“…In our earlier work [10], we proposed Multiuser Diversity with Capture (MDC) to efficiently exploit multiuser diversity in wireless communication networks by explicitly employing the capture effect to reduce the system overhead. We have shown in our simulation results that by reducing the system overhead, MDC achieves much better goodput performance than MAD, especially when the radio receiver has reasonably good capture properties or when the number of MSs is reasonably large.…”
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.
“…We also use simulation results to verify the analytical results and we find that they match. We compare the goodput performance of MDC with MAD from numerical results and the same conclusions as in [10] are found. Further, we find that the goodput performance of MDC approaches an asymptotic lower bound as the capture ratio increases, and this lower bound is still better than the goodput performance of MAD.…”
Section: Introductionmentioning
confidence: 68%
“…In our analysis, we use the wireless LAN (i.e. IEEE 802.11a) rate adaptation policy as described in [11] and in our earlier work [10]. The numerical results for the goodput performance of MAD is obtained using order statistic analysis.…”
Section: Numerical Resultsmentioning
confidence: 99%
“…Data Packet Acknowledgement Upon the successful reception of the data packet, MS w replies with an acknowledgement (ACK) packet. As noted in [10], the operation of the MDC protocol is similar for uplink data transmission, but the CSIF packet is not needed. After MS w receives the CA packet in Step 3, it has an estimate of its own channel state Γ w .…”
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%
“…In our earlier work [10], we proposed Multiuser Diversity with Capture (MDC) to efficiently exploit multiuser diversity in wireless communication networks by explicitly employing the capture effect to reduce the system overhead. We have shown in our simulation results that by reducing the system overhead, MDC achieves much better goodput performance than MAD, especially when the radio receiver has reasonably good capture properties or when the number of MSs is reasonably large.…”
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.
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
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.
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