Counter-intuitive channel allocation improvement in distributed cognitive radio networks by adding optimal interference in user's utility

Bhattarai, Amulya; Suksompong, Prapun; Charoenlarpnopparut, Chalie; Komolkiti, Patrachart

doi:10.1109/ccnc.2017.7983109

Cited by 2 publications

(1 citation statement)

References 10 publications

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“…Similarly, it allows establishing channel rendezvous for distributed coordination and performing network-centric DSA, as well as crosslayer optimization. [51][52][53] Therefore, a fully implemented distributed CR-IWSN will allow CR nodes to perform asynchronous distributed negotiation and coordination of channels, as well as adapting to network dynamics by discovering local neighbors. In addition, it will allow CR-IWSN nodes to update channel and queuing information, this is particularly beneficial in mitigating funnel effects in multihop IWC.…”

Section: Distributed Crnmentioning

confidence: 99%

A review of industrial wireless communications, challenges, and solutions: A cognitive radio approach

Oyewobi

Djouani

Kurien

2020

Trans Emerging Tel Tech

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Integral and crucial to performance of wireless sensor networks (WSNs), and specifically industrial wireless sensor network (IWSN) is stable, robust, reliable, and ubiquitous communications system. Though, wired communications system is suitable for industrial communications and is resilient to shadowing and multipath fading effects of industrial‐WSN environments, yet its wireless counterpart is a much preferred industrial communications technology due to reduced cost and high flexibility which it offers in comparison to wired communications. However, overcrowding of the industrial, scientific, and medical band, where IWSN is deployed together with other heterogeneous technologies, as well as resultant scarcity of usable frequency spectrum has restrained exclusive application of wireless technology for industrial communications. Nonetheless, cognitive radio (CR) has ability to increase spectrum utilization efficiency and channel capacity for industrial wireless communications (IWC) through opportunistic/dynamic spectrum access (DSA) technique. In this review article, we examine how DSA can benefit IWC through exploitation of new perspectives of white space definitions in the licensed bands as well as unlicensed bands. While discussing the potential of DSA for IWC, we have considered the unique characteristics of IWC as well as technical challenges and issues imposed by industrial‐WSN. Accordingly, we have suggested and proffered appropriate CR‐based solutions in mitigating some of the challenges where necessary.

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Section: Distributed Crnmentioning

confidence: 99%

A review of industrial wireless communications, challenges, and solutions: A cognitive radio approach

Oyewobi

Djouani

Kurien

2020

Trans Emerging Tel Tech

View full text Add to dashboard Cite

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Channel Allocation Policy for Distributed Wireless Network: Derivation and Analysis of Optimal Interference

Bhattarai

Suksompong

Charoenlarpnopparut

2020

Wireless Communications and Mobile Computing

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Distributed wireless networks with smart users (independent and rational) are becoming popular, and researchers are studying distributed equilibrium solutions like Nash Equilibrium (NE) to analyze and predict the convergence of such networks. Our goal is to drive the distributed wireless network to NE with high total throughput. Study of the distribution of network metrics at NE with high total throughput shows that communication links still have significant amount of interference. Adding an interference-received term with an optimal weight ( α opt ∗ ) to the link’s payoff can push the distributed network to converge to NE with high total throughput. The channel allocation trend at NE with high total throughput is as follows: each of the C − 1 links occupies its own channel, and the remaining N − C + 1 links share the remaining one channel, where N is the number of links and C is the number of channels in the network. The links (transmitters and receivers) are randomly located and C < N (limited resources). The transmitter of a link has a direct connection with the receiver of the link; hence, several links overlap. This leads to a dense network with considerable amount of interference especially for links sharing channels. A practical application of our work is when smart devices in a room, hall, or concert arena have a direct communication with other smart devices in the area using limited bandwidth. Using best response technique and definitions of NE, we derive and propose an approximate way to mathematically express α opt ∗ (referred to as α ^ opt ) along with its probability density function (PDF) for a specific scenario. Then, a generic equation for α ^ opt is inferred for varying network sizes (links) and available resources (channels). Implementing such a policy enhances the total throughput of the distributed wireless network by up to 15%. In a more general setting, our distributed policy can achieve up to 75% of the maximum total throughput (benchmark value reached by centralized solution via exhaustive search) at a fraction of the time and computation resources.

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Counter-intuitive channel allocation improvement in distributed cognitive radio networks by adding optimal interference in user's utility

Cited by 2 publications

References 10 publications

A review of industrial wireless communications, challenges, and solutions: A cognitive radio approach

A review of industrial wireless communications, challenges, and solutions: A cognitive radio approach

Channel Allocation Policy for Distributed Wireless Network: Derivation and Analysis of Optimal Interference

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