Cross-Layer Fair Bandwidth Sharing for Multi-Channel Wireless Mesh Networks

Rad, A.H.M.; Wong, Vincent W. S.

doi:10.1109/twc.2008.070238

Cited by 26 publications

(13 citation statements)

References 40 publications

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“…Network aggregate utility is conventionally regarded as a measure for evaluating the performance of resource management protocols [37], [38], [39], [40]. Based on this criterion, the problem is to allocate channels and power levels to cellular and D2D users so as to maximize the network aggregate utility.…”

Section: B Problem Formulationmentioning

confidence: 99%

Hybrid Centralized–Distributed Resource Allocation for Device-to-Device Communication Underlaying Cellular Networks

Maghsudi

Stańczak

2016

IEEE Trans. Veh. Technol.

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The basic idea of device-to-device (D2D) communication is that pairs of suitably selected wireless devices reuse the cellular spectrum to establish direct communication links, provided that the adverse effects of D2D communication on cellular users is minimized and cellular users are given a higher priority in using limited wireless resources. Despite its great potential in terms of coverage and capacity performance, implementing this new concept poses some challenges, in particular with respect to radio resource management. The main challenges arise from a strong need for distributed D2D solutions that operate in the absence of precise channel and network knowledge. In order to address this challenge, this paper studies a resource allocation problem in a single-cell wireless network with multiple D2D users sharing the available radio frequency channels with cellular users. We consider a realistic scenario where the base station (BS) is provided with strictly limited channel knowledge while D2D and cellular users have no information. We prove a lowerbound for the cellular aggregate utility in the downlink with fixed BS power, which allows for decoupling the channel allocation and D2D power control problems. An efficient graph-theoretical approach is proposed to perform the channel allocation, which offers flexibility with respect to allocation criterion (aggregate utility maximization, fairness, quality of service guarantee). We model the power control problem as a multi-agent learning game. We show that the game is an exact potential game with noisy rewards, defined on a discrete strategy set, and characterize the set of Nash equilibria. Q-learning better-reply dynamics is then used to achieve equilibrium.

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Section: B Problem Formulationmentioning

confidence: 99%

Hybrid Centralized–Distributed Resource Allocation for Device-to-Device Communication Underlaying Cellular Networks

Maghsudi

Stańczak

2016

IEEE Trans. Veh. Technol.

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“…MA can negotiate the hand-off supported with backup connection for handoff cells. Baldo (2009) proposed a cross layer distributed admission control mechanism (Rad and Wong, 2008;Wang et al, 2008;Ergin et al, 2008) for providing QoS in WMN. The authors proposed a joint routing and admission control mechanism (Ergin et al, 2008) by fusing various layers such as the network, MAC and physical layers.…”

Section: Related Workmentioning

confidence: 99%

“…The authors proposed a joint routing and admission control mechanism (Ergin et al, 2008) by fusing various layers such as the network, MAC and physical layers. Rad and Wong (2008) proposed a cross layer fair bandwidth sharing algorithm for ensuring fairness in the allocation of channels by integrating channel assignment and interference range. Wang et al (2008) proposed a joint bandwidth allocation, element assignment and link scheduling for utilisation in (WMC) having MIMO links.…”

Section: Related Workmentioning

confidence: 99%

Energy aware cross layer-based connection admission control mechanism for wireless mesh networks

Reddy

Krishna

2016

IJSGGC

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This paper studies the allocation scheme of bandwidth for the purpose of a quality end-to-end communication in multi-hop and multi-radio wireless mesh networks. In wireless mesh networks the role of bandwidth in providing QoS is pivotal. In view of the limited availability, efficient allocation of bandwidth becomes necessary. We proposed a scheme for connection admission control based on energy aware cross layer mechanism, to address the problems relating to the allocation of bandwidth for real-time and non-real-time traffic utilising a shared database. The shared database contains the energy available at the node, routing information, prediction of congestion and issues of congestion control in order to maximise the throughput of the network. The performance of the proposed model is evaluated in comparison with the other models utilising cross layer techniques. The design of the proposed network developed on the basis of energy aware cross layer optimisation, which yields considerable enhancement in the throughput of the network and these results can be crucial in the practical design of the network. Keywords: energy; cross layer optimisation; bandwidth allocation; congestion control.Reference to this paper should be made as follows: Reddy, P. and Krishna, P.V. (2016) 'Energy aware cross layer-based connection admission control mechanism for wireless mesh networks', Int.

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“…In addition, here, the constraints are all linear, except for those in (5) and (6). For the constraints in (5) and (6), binary linearization [18], and logtransformed convex optimization techniques [7] are applied to transform C l (X, P) into a linear function, as mentioned in our previous work [3]. Therefore, the NUM problem can be converted into a convex optimization problem so that the centralized manner, such as branch and bound algorithm, can be applied to find the global optimal solution of the NUM problem.…”

Section: Problem Formulationmentioning

confidence: 99%

Cross-Layer Resource Allocation in Multi-interface Multi-channel Wireless Multi-hop Networks

Feng¹,

Zhang²,

Xia³

2014

ETRI J

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In this paper, an analytical framework is proposed for the optimization of network performance through joint congestion control, channel allocation, rate allocation, power control, scheduling, and routing with the consideration of fairness in multi-channel wireless multihop networks. More specifically, the framework models the network by a generalized network utility maximization (NUM) problem under an elastic link data rate and power constraints. Using the dual decomposition technique, the NUM problem is decomposed into four subproblems -flow control; next-hop routing; rate allocation and scheduling; power control; and channel allocation -and finally solved by a low-complexity distributed method. Simulation results show that the proposed distributed algorithm significantly improves the network throughput and energy efficiency compared with previous algorithms.

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Cross-Layer Fair Bandwidth Sharing for Multi-Channel Wireless Mesh Networks

Cited by 26 publications

References 40 publications

Hybrid Centralized–Distributed Resource Allocation for Device-to-Device Communication Underlaying Cellular Networks

Hybrid Centralized–Distributed Resource Allocation for Device-to-Device Communication Underlaying Cellular Networks

Energy aware cross layer-based connection admission control mechanism for wireless mesh networks

Cross-Layer Resource Allocation in Multi-interface Multi-channel Wireless Multi-hop Networks

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