scholarly journals Subcarrier Allocation Based Cooperative Spectrum Sharing with Wireless Energy Harvesting in OFDM Relaying Networks

Sensors ◽  
2019 ◽  
Vol 19 (12) ◽  
pp. 2663
Author(s):  
Dan Huang ◽  
Mengshu Hou ◽  
Weidang Lu
Keyword(s):  
Energy Harvesting ◽  
Spectrum Sharing ◽  
Transmission Rate ◽  
Relay Node ◽  
Cognitive System ◽  
Subcarrier Allocation ◽  
Cooperative Spectrum Sharing ◽  
Simulation Results ◽  
Relaying Networks ◽  
Wireless Energy Harvesting

In this paper, we propose subcarrier allocation based cooperative spectrum sharing protocol for OFDM relaying networks with wireless energy harvesting. In the proposed protocol, the cognitive relay node utilizes different subcarriers to forward the primary information to obtain the spectrum access for the cognitive system transmission. The primary system consists of two parts, a primary transmitter (PT) and primary receiver (PR), and cognitive system includes a cognitive source node (CSN), cognitive destination node (CDN) and cognitive relay node (CRN). In the first phase, CRN splits a fraction of the power received from the PT and CSN transmission to decode information, while the remaining power is used for energy harvesting. Then CRN uses disjoint subcarriers to forward the signals of PT and CSN by utilizing the harvested energy in the second phase. Three parameters which consist of power splitting ratio, power allocation and subcarriers allocation are optimized in our algorithm to maximize the cognitive transmission rate with the constraint of primary target transmission rate. Numerical and simulation results are shown to give useful insights into the proposed cooperative spectrum sharing protocol, and we also found that various system parameters have a great effect for the simulation results.

scholarly journals Secure Information Transmissions in Wireless-Powered Cognitive Radio Networks for Internet of Medical Things

2020 ◽  
Vol 2020 ◽  
pp. 1-10 ◽  
Author(s):  
Kun Tang ◽  
Wenjuan Tang ◽  
Entao Luo ◽  
Zhiyuan Tan ◽  
Weizhi Meng ◽  
...  
Keyword(s):  
Cognitive Radio ◽  
Energy Harvesting ◽  
Spectrum Sharing ◽  
Medical Information ◽  
Transmission Rate ◽  
Sensitive Information ◽  
Secondary System ◽  
Secure Information ◽  
Internet Of Medical Things ◽  
Wireless Energy Harvesting

In this paper, we consider the issue of the secure transmissions for the cognitive radio-based Internet of Medical Things (IoMT) with wireless energy harvesting. In these systems, a primary transmitter (PT) will transmit its sensitive medical information to a primary receiver (PR) by a multi-antenna-based secondary transmitter (ST), where we consider that a potential eavesdropper may listen to the PT’s sensitive information. Meanwhile, the ST also transmits its own information concurrently by utilizing spectrum sharing. We aim to propose a novel scheme for jointly designing the optimal parameters, i.e., energy harvesting (EH) time ratio and secure beamforming vectors, for maximizing the primary secrecy transmission rate while guaranteeing secondary transmission requirement. For solving the nonconvex optimization problem, we transfer the problem into convex optimization form by adopting the semidefinite relaxation (SDR) method and Charnes–Cooper transformation technique. Then, the optimal secure beamforming vectors and energy harvesting duration can be obtained easily by utilizing the CVX tools. According to the simulation results of secrecy transmission rate, i.e., secrecy capacity, we can observe that the proposed protocol for the considered system model can effectively promote the primary secrecy transmission rate when compared with traditional zero-forcing (ZF) scheme, while ensuring the transmission rate of the secondary system.

Cooperative spectrum sharing-based relaying protocols with wireless energy harvesting cognitive user

2018 ◽  
Vol 12 (7) ◽  
pp. 838-847 ◽  
Author(s):  
Tarun Kalluri ◽  
Mansi Peer ◽  
Vivek Ashok Bohara ◽  
Daniel B. daCosta ◽  
Ugo S. Dias
Keyword(s):  
Energy Harvesting ◽  
Spectrum Sharing ◽  
Relaying Protocols ◽  
Cooperative Spectrum Sharing ◽  
Wireless Energy Harvesting ◽  
Cognitive User

scholarly journals Anti-Wiretap Spectrum-Sharing for Cooperative Cognitive Radio Communication Systems

Sensors ◽  
2019 ◽  
Vol 19 (19) ◽  
pp. 4142
Author(s):  
Peiyuan Si ◽  
Weidang Lu ◽  
Kecai Gu ◽  
Xin Liu ◽  
Bo Li ◽  
...  
Keyword(s):  
Cognitive Radio ◽  
Wireless Communication ◽  
Cooperative Communication ◽  
Communication Systems ◽  
Spectrum Sharing ◽  
Transmission Rate ◽  
Primary System ◽  
Radio Communication ◽  
Sharing Scheme ◽  
Simulation Results

As wireless communication technology keeps progressing, people’s requirements for wireless communication quality are getting higher and higher. Wireless communication brings convenience, but also causes some problems. On the one hand, the traditional static and fixed spectrum allocation strategy leads to high wastefulness of spectrum resources. The direction of improving the utility of spectrum resources by combining the advantages of cooperative communication and cognitive radio has attracted the attention of many scholars. On the other hand, security of communication is becoming an important issue because of the broadcasting nature and openness of wireless communication. Physical-layer security has been brought into focus due to the possibility of improving the security in wireless communication. In this paper, we propose an anti-wiretap spectrum-sharing scheme for cooperative cognitive radio communication systems which can secure the information transmission for the two transmission phases of the cooperative communication. We maximized the secondary system transmission rate by jointly optimizing power and bandwidth while ensuring the primary system achieves its secrecy transmission rate. Useful insights of the proposed anti-wiretap spectrum-sharing scheme are given in the simulation results. Moreover, several system parameters are shown to have a big impact for the simulation results.

scholarly journals Spectrum Sharing Network With Wireless Energy Harvesting at Finite Blocklength Regime

IEEE Access ◽  
2018 ◽  
Vol 6 ◽  
pp. 60198-60205
Author(s):  
Baogang Li ◽  
Ruonan Dong ◽  
Binyang Yan ◽  
Wei Zhao
Keyword(s):  
Energy Harvesting ◽  
Spectrum Sharing ◽  
Wireless Energy Harvesting

scholarly journals Outage Analysis of Relay-Assisted NOMA in Cooperative Cognitive Radio Networks with SWIPT

Information ◽  
2020 ◽  
Vol 11 (11) ◽  
pp. 500
Author(s):  
Kun Tang ◽  
Shaowei Liao
Keyword(s):  
Cognitive Radio ◽  
Cognitive Radio Networks ◽  
Spectrum Sharing ◽  
Relay Node ◽  
Radio Networks ◽  
Base Station ◽  
Cooperative Cognitive Radio Networks ◽  
Analytical Results ◽  
Simulation Results ◽  
Outage Probabilities

In this paper, we investigate a relay-assisted cooperative spectrum sharing for the considered non-orthogonal multiple access (NOMA) scheme in cognitive radio networks, where the relay node assists the base station (BS) to transmit the superimposed composite signal to two receivers by utilizing an amplified-and-forward (AF) technique with simultaneous wireless information and power transfer (SWIPT). The exact expressions for outage probabilities of two receivers are derived in closed forms. Moreover, a joint optimization of power allocation and the proportion of information splitting for energy harvesting is proposed in terms of energy efficiency (EE) maximization under required data reliability. Simulation results validate the analytical results since the analytical results match well with simulation results and demonstrate the performance advantages of the proposed scheme over other schemes and direct transmission.

Wirelessly Energy Harvesting DF Dual-hop Relaying Networks: Optimal Time Splitting Ratio and Performance Analysis

2017 ◽  
Vol 3 (2) ◽  
pp. 16
Author(s):  
Tran Thien Thanh ◽  
Vo Nguyen Quoc Bao
Keyword(s):  
Energy Harvesting ◽  
System Capacity ◽  
Closed Form Expression ◽  
Optimal Time ◽  
High Signal ◽  
Splitting Ratio ◽  
Time Splitting ◽  
Relaying Networks ◽  
And Performance ◽  
Wireless Energy Harvesting

This paper is to derive the optimal time splitting ratio for wireless energy harvesting DF dua-hop relaying networks. Using the partial relay selection, the best relay having the largest harvesting energy is chosen to be the forward for the second hop. We also derive the closed form expression for the optimal time splitting ratio that maximizes the system instantaneous capacity. Numerical results have shown that the system with the optimal time splitting ratio can significantly  improve instantaneous and ergodic system capacity at high signal-to-noise ratios for the same channel and system settings.

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