Interference Aware Adaptive Routing for CDMA Based Mobile Ad Hoc Networks

Waqas, Abdullah; Mahmood, Hasan

doi:10.1109/isms.2013.120

Cited by 4 publications

(5 citation statements)

References 10 publications

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“…We considered all that the base stations and the users are equipped with single antenna. In this case, the SINR of i-th CU can be calculated as [20],…”

Section: System Modelmentioning

confidence: 99%

Power Control for Cognitive Radio Networks: A Game Theoretic Approach

Gulzar

Waqas

Dilpazir

et al. 2021

Wireless Pers Commun

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In communication industry one of the most rapidly growing area is wireless technology and its applications. The efficient access to radio spectrum is a requirement to make this communication feasible for the users that are running multimedia applications and establishing real-time connections on an already overcrowded spectrum. In recent times cognitive radios (CR) are becoming the prime candidates for improved utilization of available spectrum. The unlicensed secondary users share the spectrum with primary licensed user in such manners that the interference at the primary user does not increase from a predefined threshold. In this paper, we propose an algorithm to address the power control problem for CR networks. The proposed solution models the wireless system with a non-cooperative game, in which each player maximize its utility in a competitive environment. The simulation results shows that the proposed algorithm improves the performance of the network in terms of high SINR and low power consumption.

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“…We considered all that the base stations and the users are equipped with single antenna. In this case, the SINR of i-th CU can be calculated as [20],…”

Section: System Modelmentioning

confidence: 99%

Power Control for Cognitive Radio Networks: A Game Theoretic Approach

Gulzar

Waqas

Dilpazir

et al. 2021

Wireless Pers Commun

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“…Interference is an important parameter to consider because if all the nodes transmit on same frequency band, the received power at the destination is affected by the amount of interference present in the environment [18]. In addition, thermal noise also degrades the performance of the link.…”

Section: Research Articlementioning

confidence: 99%

“…The interference at receiver is weighted sum of all the interfering nodes. The results show that the proposed solution provides better packet delivery and low routing overhead as compared to traditional OLSR routing The interference aware energy efficient routing (IAEE) algorithm proposed in [18] selects the routes which provide low interference to the data packet results in better routes as compared to MHC routing technique. In this technique source node selects the next hop which has lowest interference from all of its neighbors.…”

Section: Related Workmentioning

confidence: 99%

“…This high interference reduces SINR at the route as well as individual links which reduces outage probability of the established communication path. In our previous work [18], we proposed interference aware energy efficient routing algorithm to improve the performance of the network. The proposed solution also provides high throughput as compared to MHC routing algorithm.…”

Section: Interference Aware Cooperative Routingmentioning

confidence: 99%

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Interference Aware Cooperative Routing Algorithm for Wireless Ad Hoc Networks over Nakagami Fading and Lognormal Shadowing

Waqas¹

2016

ijcna

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The quick deployment and flexible characteristics of wireless ad hoc networks make them suitable for many commercial and daily life applications. A most challenging task in these distributed networks is ensuring quality of service to end-to-end user in presence of wireless channel, random network topology, unpredictable traffic patterns, and shared resources. The performance of network is limit by the amount of interference in the network in case of simultaneous transmission over same frequency band. In this paper, we address interference issue in presence of nakagami fading and lognormal shadowing channel conditions and proposed an Interference Aware Cooperative Routing (IACR) approach to manage routing operations between nodes. The presented model reflects realistic scenarios for urban areas where fading and shadowing occurs due to tall buildings in the neighborhood of transmitters. The proposed solution establishes routes between source and destination by introducing cooperation among network nodes. Each node in the network selects path such that interference created by it towards other nodes is minimized taking into account that the Signal to Interference plus Noise Ratio (SINR) at destination does not decreases a threshold value. Hence, the presented approach reduces amount of overall interference in the network without degrading the quality of individual route. The simulation results show that the performance of proposed solution is better than conventional hop count and interference aware routing algorithms in terms of throughput and outage probability of the network.

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“…The building block of edge computing-enabled 5G networks is infrastructure less network of wireless devices, in which, the devices act cooperatively to establish communication between a source and a destination [7]. These networks have applications in many real life scenarios such as military communication, rescue and emergency operations, conference rooms, and in the situation where infrastructure is not available or difficult to deploy [8]. On the other hand, the distributed nature of these networks imposes multiple challenges such as data privacy, network security, and detection and mitigation of malicious devices [9], [10].…”

Section: Introductionmentioning

confidence: 99%

Interference Aware Cooperative Routing for Edge Computing-enabled 5G Networks

Waqas¹,

Mahmood²,

Saeed³

2022

Preprint

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Recently, there has been growing research on developing interference-aware routing (IAR) protocols for supporting multiple concurrent transmission in next-generation wireless communication systems. The existing IAR protocols do not consider node cooperation while establishing the routes because motivating the nodes to cooperate and modeling that cooperation is not a trivial task. In addition, the information about the cooperative behavior of a node is not directly visible to neighboring nodes. Therefore, in this paper, we develop a new routing method in which the nodes' cooperation information is utilized to improve the performance of edge computing-enabled 5G networks. The proposed metric is a function of created and received interference in the network. The received interference term ensures that the Signal to Interference plus Noise Ratio (SINR) at the route remains above the threshold value, while the created interference term ensures that those nodes are selected to forward the packet that creates low interference for other nodes. The results show that the proposed solution improves ad hoc networks' performance compared to conventional routing protocols in terms of high network throughput and low outage probability.

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Interference Aware Adaptive Routing for CDMA Based Mobile Ad Hoc Networks

Cited by 4 publications

References 10 publications

Power Control for Cognitive Radio Networks: A Game Theoretic Approach

Power Control for Cognitive Radio Networks: A Game Theoretic Approach

Interference Aware Cooperative Routing Algorithm for Wireless Ad Hoc Networks over Nakagami Fading and Lognormal Shadowing

Interference Aware Cooperative Routing for Edge Computing-enabled 5G Networks

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