Low Complexity Green Cooperative Cognitive Radio Network With Superior Performance

Soleimanpour-Moghadam, Mohadeseh; Askarizadeh, Mohammad; Talebi, Siamak; Esmaeili, Shima

doi:10.1109/jsyst.2018.2825281

Cited by 6 publications

(5 citation statements)

References 36 publications

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“…In [39], it has been argued that network efficiency can be maximized only when the greenhouse gas emission (GHGE) is kept to a minimum in green cooperative cognitive radio networks (GCCRNs). Since dealing with multiple conflicting objectives, so MOO was employed to maximize the rate while keeping GHGE to a minimum, in their relay selection process.…”

Section: Related Workmentioning

confidence: 99%

QoS‐Oriented Optimal Relay Selection in Cognitive Radio Networks

Alvi

Hussain

Shakeel

et al. 2021

Wireless Communications and Mobile Computing

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A cognitive radio network can be employed in any wireless communication systems, including military communications, public safety, emergency networks, aeronautical communications, and wireless-based Internet of Things, to enhance spectral efficiency. The performance of a cognitive radio network (CRN) can be enhanced through the use of cooperative relays with buffers; however, this incurs additional delays which can be reduced by using virtual duplex relaying that requires selection of a suitable relay pair. In a virtual duplex mode, we mimic full-duplex links by using simultaneous two half-duplex links, one transmitting and the other one receiving, in such a way that the overall effect of duplex mode is achieved. The relays are generally selected based on signal-to-interference-plus-noise ratio (SINR). However, other factors such as power consumption and buffer capacity can also have a significant impact on relay selection. In this work, a multiobjective relay selection scheme is proposed that simultaneously takes into account throughput, delay performance, battery power, and buffer status (i.e., both occupied and available) at the relay nodes while maintaining the required SINR. The proposed scheme involves the formulation of four objective functions to, respectively, maximize throughput and buffer space availability while minimizing the delay and battery power consumption. The weighted sum approach is then used to combine these objective functions to form the multiobjective optimization problem and an optimal solution is obtained. The assignments of weights to objectives have been done using the rank sum (RS) method, and several quality-of-service (QoS) profiles have been considered by varying the assignment of weights. The results gathered through simulations demonstrate that the proposed scheme efficiently determines the optimal solution for each application scenario and selects the best relay for the respective QoS profile. The results are further verified by using the genetic algorithm (GA) and particle swarm optimization (PSO) techniques. Both techniques gave identical solutions, thus validating our claim.

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Section: Related Workmentioning

confidence: 99%

QoS‐Oriented Optimal Relay Selection in Cognitive Radio Networks

Alvi

Hussain

Shakeel

et al. 2021

Wireless Communications and Mobile Computing

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“…A previous study [27] proposed a centralized greedy strategy-based topology control algorithm to minimize the maximum interference while satisfying the delay constraint, a localized topology control algorithm to build a delay-constrained minimum spanning tree independently for each node to minimize the average interference, and a distributed delay-constrained Bellman-Ford topology control algorithm to find the optimal path with the average path interference. To reduce the interference among concurrent transmission links, some MAC protocols (e.g., IEEE 802.11p) employ a modulation scheme of orthogonal frequency division multiplexing (OFDM) without interference [28,29]. In a previous study [28], a concurrent transmission-based broadcast protocol is proposed to schedule the concurrent broadcast transmissions of the forwarders in the same divided segment in order to reduce the broadcast delay and increase the broadcast reliability.…”

Section: Related Workmentioning

confidence: 99%

Interference Range-Reduced Cooperative Multiple Access with Optimal Relay Selection for Large Scale Wireless Networks

Wang

Yue

et al. 2019

Sensors

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Cooperative communication improves the link throughput of wireless networks through spatial diversity. However, it reduces the frequency reuse of the entire network due to the enlarged link interference range introduced by each helper. In this paper, we propose a cooperative medium access control (MAC) protocol with optimal relay selection (ORS-CMAC) for multihop, multirate large scale networks, which can reduce the interference range and improve the network throughput. Then, we investigate the performance gain achieved by these two competitive factors, i.e., the spatial frequency reuse gain and spatial diversity gain, in large scale wireless networks. The expressions of maximum network throughput for direct transmissions and cooperative transmissions in the whole network are derived as a function of the number of concurrent transmission links, data packet length, and average packet transmission time. Simulation results validate the effectiveness of the theoretical results. The theoretical and simulation results show that the helper can reduce the spatial frequency reuse slightly, and spatial diversity gain can compensate for the decrease of the spatial frequency reuse, thereby improving the network throughput from the viewpoint of the whole network.

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“…Combining the advantages of cognitive radio and cooperative technologies is one of the current hot researches. A concept of greenhouse gas emission was proposed in cooperative cognitive radio networks in [1], where total rate maximization, gas emission minimization, and relay selection problems were achieved simultaneous by lexicographic multiobjective optimization methods. At the constraints of wireless transfer power and time, an outage probability optimization problem was studied in [2] for battery free secondary users by particle swarm algorithm.…”

Section: Introductionmentioning

confidence: 99%

“…The above references solved an optimization problem under certain constraints. For example, the total power and total interference constraints were considered in [1,4], while the power and time slot constraints were absorbed in [2]. Different constraints consider different actual scenarios, thereby defining different optimization problems.…”

Section: Introductionmentioning

confidence: 99%

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Performance Optimization for Decode and Forward Cooperative Cognitive Radio Networks

Qin

Zhou

2023

Wireless Communications and Mobile Computing

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This paper considers the problem of optimizing the data rate of the cooperative cognitive system subject to the dual constraints of the interference threshold of primary users and power budget of secondary users. In particular, under a single constraint, the rate can reach its peak easily. But under the double restrictions, the peak rate problem becomes complicated and changeable. According to different interference conditions and power supplies, four scenarios are formulated: total interference threshold and total power budget, total interference threshold and separate power budget, separate interference threshold and total power budget, and separate interference threshold and separate power budget. Each scenario needs to be further divided into many situations for discussion due to the sheer particularity. Through careful comparison and classification, we summarize and formulate each situation one by one to achieve the optimal value of the rate. Extensive simulation results demonstrate that the proposed resource allocation policy represents the best compromise between enhancing the rate of the secondary users and satisfying the interference threshold requirements of the primary users.

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Low Complexity Green Cooperative Cognitive Radio Network With Superior Performance

Cited by 6 publications

References 36 publications

QoS‐Oriented Optimal Relay Selection in Cognitive Radio Networks

QoS‐Oriented Optimal Relay Selection in Cognitive Radio Networks

Interference Range-Reduced Cooperative Multiple Access with Optimal Relay Selection for Large Scale Wireless Networks

Performance Optimization for Decode and Forward Cooperative Cognitive Radio Networks

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