IEEE Wireless Communications and Networking Conference, 2005 2005
DOI: 10.1109/wcnc.2005.1424743
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Effect of relaying on capacity improvement in wireless local area networks

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Cited by 46 publications
(32 citation statements)
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“…In [22], the expected throughput capacity of a wireless network with a single-tier relay infrastructure and the optimal placement of the relay nodes were derived based on the recent information theory results. We have shown in [22] that, under the additive white Gaussian noise channel model and with continuous bit rates, the optimally configured relay infrastructure can improve the throughput of a wireless network significantly.…”
Section: Related Workmentioning
confidence: 99%
See 1 more Smart Citation
“…In [22], the expected throughput capacity of a wireless network with a single-tier relay infrastructure and the optimal placement of the relay nodes were derived based on the recent information theory results. We have shown in [22] that, under the additive white Gaussian noise channel model and with continuous bit rates, the optimally configured relay infrastructure can improve the throughput of a wireless network significantly.…”
Section: Related Workmentioning
confidence: 99%
“…We have shown in [22] that, under the additive white Gaussian noise channel model and with continuous bit rates, the optimally configured relay infrastructure can improve the throughput of a wireless network significantly. However, because of the finite modulation and coding schemes of modern communications systems, transmitters can only transmit in a finite set of bit rates.…”
Section: Related Workmentioning
confidence: 99%
“…Second, the fixed relay nodes can be optimally configured to maximize their beneficial effects. The problem of fixed relay placement to maximize WLAN capacity was first studied in [8]. In [9], we proposed an efficient extension point placement algorithm aiming at improving the network layer throughput of a rectilineal network, using a divide-and-conquer searching algorithm.…”
Section: Related Workmentioning
confidence: 99%
“…The expected minimum packet transaction time with this particular placement can be calculated by using (7). This value is an upper bound of (8). The lower bound for the current iteration is simply the objective function (14) with the values of X and Y found in Step 2 [11].…”
Section: An Optimization-based Lagrangian Relaxation Iterative Algorithmmentioning
confidence: 99%
“…Deploying RNs near the cell edge will help to increase the capacity [3] [4] or, alternatively, to extend the cell coverage area [5] [6]. RNs diverse in functionality and mode of operation.…”
Section: Introductionmentioning
confidence: 99%