“…However, for γ = 24 dB, the goodput is 16.7 Mbps and for γ = 28 dB, the goodput is 16.5 Mbps, which is only a 3% decrease. Table IV shows the optimal values of γ that maximize the goodput for MDC for the wireless channel described in Table III over various values of N and z, obtained through extensive simulations 5 . From Table IV, it can be seen that the optimal 5 In a practical system, the optimal value of γ can be found heuristically using iterative optimization algorithms.…”
Section: Simulation Resultsmentioning
confidence: 99%
“…Table IV shows the optimal values of γ that maximize the goodput for MDC for the wireless channel described in Table III over various values of N and z, obtained through extensive simulations 5 . From Table IV, it can be seen that the optimal 5 In a practical system, the optimal value of γ can be found heuristically using iterative optimization algorithms. For a given value of γ, the BS can estimate the expected goodput, E [G], by observing the average goodput over a number of transmission cycles.…”
Abstract-In a wireless network, with the aid of rate adaptation, multiuser diversity can be exploited by allowing the mobile user with the best channel to use the channel. However, the overhead that results from polling mobile stations to obtain channel state information (CSI) in large networks can outweigh the multiuser diversity gain. In this paper, we propose a wireless medium access control protocol, namely Multiuser Diversity with Capture (MDC), which explicitly employs the capture effect to obviate the overhead problem. We analyze the goodput performance of MDC 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.Index Terms-capture effect, MAC protocol, multiuser diversity, wireless LAN
“…However, for γ = 24 dB, the goodput is 16.7 Mbps and for γ = 28 dB, the goodput is 16.5 Mbps, which is only a 3% decrease. Table IV shows the optimal values of γ that maximize the goodput for MDC for the wireless channel described in Table III over various values of N and z, obtained through extensive simulations 5 . From Table IV, it can be seen that the optimal 5 In a practical system, the optimal value of γ can be found heuristically using iterative optimization algorithms.…”
Section: Simulation Resultsmentioning
confidence: 99%
“…Table IV shows the optimal values of γ that maximize the goodput for MDC for the wireless channel described in Table III over various values of N and z, obtained through extensive simulations 5 . From Table IV, it can be seen that the optimal 5 In a practical system, the optimal value of γ can be found heuristically using iterative optimization algorithms. For a given value of γ, the BS can estimate the expected goodput, E [G], by observing the average goodput over a number of transmission cycles.…”
Abstract-In a wireless network, with the aid of rate adaptation, multiuser diversity can be exploited by allowing the mobile user with the best channel to use the channel. However, the overhead that results from polling mobile stations to obtain channel state information (CSI) in large networks can outweigh the multiuser diversity gain. In this paper, we propose a wireless medium access control protocol, namely Multiuser Diversity with Capture (MDC), which explicitly employs the capture effect to obviate the overhead problem. We analyze the goodput performance of MDC 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.Index Terms-capture effect, MAC protocol, multiuser diversity, wireless LAN
“…A user identification approach (UIDA) was proposed in [4] to reduce system overhead, which allows the MSs to transmit the CSI response message to the BS simultaneously. In the UIDA, each MS is assigned with one unique User This research was supported under Australian Research Council's Discovery Projects funding scheme (project number DP0877616) Identification (UID), and frequency domain and time domain UIDs designs were proposed to find the MS with the best CSI.…”
Section: Introductionmentioning
confidence: 99%
“…In the UIDA, each MS is assigned with one unique User This research was supported under Australian Research Council's Discovery Projects funding scheme (project number DP0877616) Identification (UID), and frequency domain and time domain UIDs designs were proposed to find the MS with the best CSI. However, the theoretical throughput analysis using UIDA in general channels was not given in [4], and its application in practical Orthogonal Frequency Division Multiplexing (OFDM) systems was not tested.…”
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.
“…This overhead can significantly decrease system goodput when there is a large number of mobile stations (MSs) in the network. In [5], the system overhead issue is mitigated through the use of a proposed user identification scheme, where CSI from multiple MSs is obtained at the base station simultaneously. In [6], signal to noise ratio (SNR) thresholding was proposed to reduce the amount of bandwidth required for CSI feedback on dedicated or contention-based uplink channels.…”
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.
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