The Guard Zone in Wireless Ad hoc Networks

Hasan, Aamir; Andrews, Jeffrey G.

doi:10.1109/twc.2007.04793

Cited by 266 publications

(240 citation statements)

References 34 publications

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“…In this way, the problem of storage limitation can be solved as well [6]. Typically there are three types of mobile cloud architectures, namely the traditional centralized cloud [7], the recently emerged cloudlet [8] and the peer-based ad hoc mobile cloud [9].…”

Section: Introductionmentioning

confidence: 99%

“…Meanwhile, with the increasing processing capacity of modern UEs, peerassisted computing is also an emerging topic that attracts growing attention in the research community. This paradigm regards users in vicinity as an ad hoc mobile cloud [9], where neighboring UEs are able to utilize and share resources in a cooperative manner. Such a mechanism provides an advantage of having less ofoad latency and bandwidth consumption as compared to traditional cloud computing, since mobile devices could communicate with each other via device-to-device (D2D) connections.…”

Section: Introductionmentioning

confidence: 99%

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Data offloading and task allocation for cloudlet-assisted ad hoc mobile clouds

et al. 2016

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Nowadays, although the data processing capabilities of the modern mobile devices are developed in a fast speed, the resources are still limited in terms of processing capacity and battery lifetime. Some applications, in particular the computationally intensive ones, such as multimedia and gaming, often require more computational resources than a mobile device can afford. One way to address such a problem is that the mobile device can o oad those tasks to the centralized cloud with data centers, the nearby cloudlet or ad hoc mobile cloud. In this paper, we propose a data o oading and task allocation scheme for a cloudlet-assisted ad hoc mobile cloud in which the master device (MD) who has computational tasks can access resources from nearby slave devices (SDs) or the cloudlet, instead of the centralized cloud, to share the workload, in order to reduce the energy consumption and computational cost. A two-stage Stackelberg game is then formulated where the SDs determine the amount of data execution units that they are willing to provide, while the MD who has the data and tasks to o oad sets the price strategies for di erent SDs accordingly. By using the backward induction method, the Stackelberg equilibrium is derived. Extensive simulations are conducted to demonstrate the e ectiveness of the proposed scheme.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Data offloading and task allocation for cloudlet-assisted ad hoc mobile clouds

et al. 2016

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“…The authors in [34] characterized the interference distribution in Poisson networks, both in the absence and in the presence of fading. In [35], the CSMA protocol was modeled by excluding interference from a guard zone around the typical receiver in a Poisson model. The authors in [36] provided a Taylor-series type expansion of functions to approximate the interference and illustrated that the approach could be used to find outage probability in both Poisson and non-Poisson wireless networks.…”

Section: Mean Probability Of Successful Reception and Transmission Camentioning

confidence: 99%

Modeling and analysis of random dense CSMA networks

Sun

Jiang

et al. 2018

J Wireless Com Network

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The MAC (medium access control) of CSMA (carrier sense multiple access) is widely used in distributed wireless networks with random node locations. In CSMA MAC, two nodes that are within the range of one another cannot transmit packets simultaneously. Modeling the concurrently transmitting nodes is crucial for the performance analysis of the CSMA networks. In this paper, we study the density of concurrently transmitting nodes and propose another modification of classical hard core point process to accurately estimate the density of concurrently transmitting nodes, in the absence and in the presence of fading conditions. The MMHCP model we propose outperforms the popular Matérn type II model and the existing modified hard core point (MHCP) process model by avoiding the underestimation and alleviating the overestimation issues, respectively. We conduct extensive numerical analysis and simulations to evaluate the accuracy of our MMHCP model. Furthermore, we study the impact of the density of initial Poisson Point Process (PPP) and fading factor on the mean probability of successful reception and on the transmission capacity of networks from numerical analysis and simulations.

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“…The idea is similar to allocating resources to the best link in multi-user networks to retrieve multi-user diversity gain. Another improvement introduces the concept of a guard zone [73] to prohibit the presence of simultaneous interfering transmissions in proximity. The resulting active small cells can be modeled by a hard-core point process [62], where each point of the process is the center of a disc that contains no other points except itself.…”

Section: Random Accessmentioning

confidence: 99%

Interference Mitigation in CR-Enabled Heterogeneous Networks

Lien

Cheng

Chen

2013

IEICE Trans. Commun.

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SUMMARYThe heterogeneous network (HetNet), which deploys small cells such as picocells, femotcells, and relay nodes within macrocell, is regarded as a cost-efficient and energy-efficient approach to resolve increasing demand for data bandwidth and thus has received a lot of attention from research and industry. Since small cells share the same licensed spectrum with macrocells, concurrent transmission induces severe interference, which causes performance degradation, particularly when coordination among small cell base stations (BSs) is infeasible. Given the dense, massive, and unplanned deployment of small cells, mitigating interference in a distributed manner is a challenge and has been explored in recent papers. An efficient and innovative approach is to apply cognitive radio (CR) into HetNet, which enables small cells to sense and to adapt to their surrounding environments. Consequently, stations in each small cell are able to acquire additional information from surrounding environments and opportunistically operate in the spectrum hole, constrained by minimal inducing interference. This paper summarizes and highlights the CR-based interference mitigation approaches in orthogonal frequency division multiple access (OFDMA)-based HetNet networks. With special discussing the role of sensed information at small cells for the interference mitigation, this paper presents the potential cross-layer facilitation of the CR-enable HetNet. key words: heterogeneous networks (HetNet), small cell, interference management, interference mitigation, cognitive radio

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The Guard Zone in Wireless Ad hoc Networks

Cited by 266 publications

References 34 publications

Data offloading and task allocation for cloudlet-assisted ad hoc mobile clouds

Data offloading and task allocation for cloudlet-assisted ad hoc mobile clouds

Modeling and analysis of random dense CSMA networks

Interference Mitigation in CR-Enabled Heterogeneous Networks

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