Refining the impact of partially overlapping channels in wireless mesh networks through a cross-layer optimization model

Tandjaoui, Amel Faiza; Kaddour, Mejdi

doi:10.1109/wimob.2016.7763206

Cited by 6 publications

(5 citation statements)

References 25 publications

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“…Obviously, the more the channel distance, the smaller the interference. According to [21], the interference compute could be carried out as follow:…”

Section: System Model and Problem Formulationmentioning

confidence: 99%

The QoE Driven Transmission Optimization Based on Cognitive Air Interface Match for Self-Organized Wireless Body Area Network

2019

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This paper studied the optimization of air interface (AI) allocation in self-organized wireless body area network (WBAN), for the quality of experience (QoE) of wireless data transmission between patients' body base station and the medical surveillance network (MSN). To improve the spectrum efficiency, the partial overlapping channel (POC) is adopted for the cognitive AI, which could adjust its wireless channel according to the environment. In the same time, the heterogeneous QoE of patients is also taken into consideration to optimize the network. A two-layer game model and the corresponding learning algorithm have been proposed for the AIs' channel choosing and body base stations' AI choosing in a distributed way, to realize the optimized and stable match between AI and patient's transmission demand. The theoretic analysis for the equilibrium of the game and the convergence of the proposed algorithm is carried out. Simulation experiment results shows that the proposed two-layer game model and learning algorithm could effectively improve the QoE of WBAN, along with the fairness. INDEX TERMS Medical surveillance network, wireless body area network, quality of experience, partial overlapping channel, spectrum efficiency, game theory.

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“…Obviously, the more the channel distance, the smaller the interference. According to [21], the interference compute could be carried out as follow:…”

Section: System Model and Problem Formulationmentioning

confidence: 99%

The QoE Driven Transmission Optimization Based on Cognitive Air Interface Match for Self-Organized Wireless Body Area Network

2019

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“…In [11], a mathematical programming model was proposed to estimate the enhancement in throughput that could be accomplished if all the neighboring channels were utilized via partially overlapping channels (POCs). It provided a solution using column generation.…”

Section: Related Workmentioning

confidence: 99%

“…5-user communication sessions are assumed. For each session, source and destination, 2,6,7,8,11,16,17,19,20 and the associated minimum flow rates, are arbitrarily chosen as listed in Table 8. Figure 8 shows the connectivity graph in this case.…”

Section: Case Imentioning

confidence: 99%

Joint Channel Assignment and Power Allocation Based on Maximum Concurrent Multicommodity Flow in Cognitive Radio Networks

Salah

Abdel-Atty

Rizk

2018

Wireless Communications and Mobile Computing

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Emerging cognitive radio networking technology potentially provides a promising solution to the spectrum underutilization problem in wireless access. In this paper, a cross-layer routing for secondary multihop is studied in cognitive radio network operating in television white spaces. The framework considers a joint channel, power, and routing assignment under signal to interference noise ratio (SINR) constraints. The problem is formulated as a maximum concurrent multicommodity flow problem. The goal of conducting this research is to develop a new routing protocol for the secondary multihop cognitive radio network. Therefore, the objective of this paper focuses on maximizing a flow rate scaling factor. Moreover, the paper focuses on achieving multipath routing when it is possible under SINR constraints to utilize all possible unused channels efficiently. The numerical results proved the strength of the proposed algorithm in its routing ability under the physical model of SINR, in addition to the ability of using multipath routing if there are available free channels to be used in the cognitive communication paradigm.

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“…The larger the channel distance is, the less the power masks overlaps and the weaker the strength is. The relationship between the channel distance and the overlapping power mask can be described as [3]…”

Section: System Model and Problem Formulationmentioning

confidence: 99%

“…While existing researches have investigated some problems about POC, they mainly focused on theoretical investigations [3,4] or algorithms design [5][6][7]. Note that, most algorithms require centralized controllers and information exchange, which may not be feasible when the network scale or the user amount is large.…”

Section: Introductionmentioning

confidence: 99%

QoE-oriented partially overlapping channel access in wireless networks: a game-theoretic learning approach

Jing

Yao

et al. 2018

Wireless Netw

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In order to promote the spectral utilization, this article investigates the partially overlapping channel (POC) accessing problem in the wireless network. To reflect the heterogeneous characteristics of users, the optimization goal is set as maximizing the quality of service (QoE), instead of maximizing the throughput or minimizing the interference. The problem is formulated as a QoE maximization game and is then proved to be an ordinal potential game by utilizing the approximate relationship between interference and QoE. The proposed game is proved to have at least one pure Nash equilibrium (NE) and the best pure strategy NE point is an approximate global optimum of maximizing network QoE. A distributed algorithm is designed to reach the NE and it is proved that when the learning parameter is large enough, the algorithm asymptotically maximizes the network QoE. Simulation results verify the effectiveness of utilizing POCs and the proposed method.

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Refining the impact of partially overlapping channels in wireless mesh networks through a cross-layer optimization model

Cited by 6 publications

References 25 publications

The QoE Driven Transmission Optimization Based on Cognitive Air Interface Match for Self-Organized Wireless Body Area Network

The QoE Driven Transmission Optimization Based on Cognitive Air Interface Match for Self-Organized Wireless Body Area Network

Joint Channel Assignment and Power Allocation Based on Maximum Concurrent Multicommodity Flow in Cognitive Radio Networks

QoE-oriented partially overlapping channel access in wireless networks: a game-theoretic learning approach

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