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Table Of Integrals Series And Products

Initial efforts on wireless power transfer (WPT) have concentrated toward long-distance transmission and high power applications. Nonetheless, the lower achievable transmission efficiency and potential health concerns arising due to high power applications, have caused limitations in their further developments. Due to tremendous energy consumption growth with ever-increasing connected devices, alternative wireless information and power transfer techniques have been important not only for theoretical research but also for the operational costs saving and for the sustainable growth of wireless communications. In this regard, radio frequency energy harvesting (RF-EH) for a wireless communications system presents a new paradigm that allows wireless nodes to recharge their batteries from the RF signals instead of fixed power grids and the traditional energy sources. In this approach, the RF energy is harvested from ambient electromagnetic sources or from the sources that directionally transmit RF energy for EH purposes. Notable research activities and major advances have occurred over the last decade in this direction. Thus, this paper provides a comprehensive survey of the state-of-art techniques, based on advances and open issues presented by simultaneous wireless information and power transfer (SWIPT) and WPT assisted technologies. More specifically, in contrast to the existing works, this paper identifies and provides a detailed description of various potential emerging technologies for the fifth generation communications with SWIPT/WPT. Moreover, we provide some interesting research challenges and recommendations with the objective of stimulating future research in this emerging domain.

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Simultaneous Wireless Information and Power Transfer (SWIPT): Recent Advances and Future Challenges

Device-to-Device (D2D) communication has emerged as a promising technology for optimizing spectral efficiency in future cellular networks. D2D takes advantage of the proximity of communicating devices for efficient utilization of available resources, improving data rates, reducing latency, and increasing system capacity. The research community is actively investigating the D2D paradigm to realize its full potential and enable its smooth integration into the future cellular system architecture. Existing surveys on this paradigm largely focus on interference and resource management. We review recently proposed solutions in over explored and under explored areas in D2D. These solutions include protocols, algorithms, and architectures in D2D. Furthermore, we provide new insights on open issues in these areas. Finally, we discuss potential future research directions.

A Survey of Device-to-Device Communications: Research Issues and Challenges

Cognitive radios have been proposed as a means to implement efficient reuse of the licensed spectrum. The key feature of a cognitive radio is its ability to recognize the primary (licensed) user and adapt its communication strategy to minimize the interference that it generates. We consider a communication scenario in which the primary and the cognitive user wish to communicate to different receivers, subject to mutual interference. Modeling the cognitive radio as a transmitter with side-information about the primary transmission, we characterize the largest rate at which the cognitive radio can reliably communicate under the constraint that (i) no interference is created for the primary user, and (ii) the primary encoder-decoder pair is oblivious to the presence of the cognitive radio.

Cognitive Radio: An Information-Theoretic Perspective

This paper studies the joint communication, caching and computing design problem for achieving the operational excellence and the cost efficiency of the vehicular networks Moreover, the resource allocation policy is designed by considering the vehicle's mobility and the hard service deadline constraint These critical challenges have often been either neglected or addressed inadequately in the existing work on the vehicular networks because of their high complexity We develop a deep reinforcement learning with the multi-timescale framework to tackle these grand challenges in this paper Furthermore, we propose the mobility-aware reward estimation for the large timescale model to mitigate the complexity due to the large action space Numerical results are presented to illustrate the theoretical findings developed in the paper and to quantify the performance gains attained

Mobility-Aware Edge Caching and Computing in Vehicle Networks: A Deep Reinforcement Learning

Multihop transmission is a promising technique that helps in achieving broader coverage (excellent network connectivity) and preventing the impairment of wireless channels. This paper proposes a cluster-based multihop wireless network that makes use of the advantages of multihop relaying, i.e., path loss gain, and partial relay selection in each hop, i.e., spatial diversity. In this partial relay selection, the node with the maximum instantaneous channel gain will serve as the sender for the next hop. With the proposed protocol, the transmit power and spectral efficiency can be improved over those in the case of direct transmission and conventional multihop transmission. Moreover, at a high signal-to-noise ratio (SNR), the performance of the system with at least two nodes in each cluster is dependent only on the last hop and not on any of the intermediate hops. For a practically feasible decode-and-forward relay strategy, a compact expression for the probability density function of the end-to-end SNR at the destination is derived. This expression is then used to derive closed-form expressions for the outage probability, average symbol error rate, and average bit error rate for M-ary square quadrature amplitude modulation as well as to determine the spectral efficiency of the system. In addition, the probability of SNR gain over direct transmission is investigated for different environments. The mathematical analysis is verified by various simulation results for demonstrating the accuracy of the theoretical approach.

Performance analysis of decode-and-forward relaying with partial relay selection for multihop transmission over Rayleigh fading channels

Exact Outage Analysis of Energy Harvesting Underlay Cooperative Cognitive Networks

We propose an efficient combination of distributed switch and stay and selection relay that offers the best performance at high SNRs compared to conventional selection relay schemes and to incremental relaying schemes in conjunction with selection relay. Our results, in terms of bit error probability, confirm the benefit of the proposed scheme at high SNR regime. We also show that the high-SNR performance of the proposed scheme with more than two relays is dominated by the decode- and- forward relaying link.

Distributed switch and stay combining for selection relay networks

The combination of cooperative communication and physical layer security is an effective approach to overcome the disadvantages of the fading environment as well as to increase the security capacity of the wireless network. In this paper, we propose a two-way decode-and-forward scheme with a relay selection method. In the proposed protocol, two source nodes communicate with each other with the help of intermediate relays under the eavesdropping of another wireless node, called the eavesdropper node. The best relay, which is chosen by the max---min strategy, uses digital network coding to enhance secure communication and spectrum use efficiency. The system performance is analyzed and evaluated in terms of the exact closed-form outage probability over Rayleigh fading channels. The Monte-Carlo simulation results are presented to verify the theoretical analysis. Finally, the proposed protocol is compared with the two-way protocol, which does not use digital network coding.

Exact Outage Probability of Two-Way Decode-and-Forward Scheme with Opportunistic Relay Selection Under Physical Layer Security

This paper provides a complete study on the end-to-end performance of multi-hop wireless communication systems equipped with re-generative (decode-and-forward) relays over Rayleigh fading channels assuming single-antenna terminals. More specifically, the probability density function (pdf) of the tightly approximated end-to-end SNR of the systems is derived. Using this approximation allows us to avoid considering all possible combinations of correct and erroneous decisions at the relays and the destination for which the end-to-end transmission is error-free, thus reducing computation burden in evaluating important multi-hop system's performance metrics. Simulations are performed to verify the accuracy and to show the tightness of the theoretical analysis.

Hyung Yun Kong

Papers

Performance analysis of decode-and-forward relaying with partial relay selection for multihop transmission over Rayleigh fading channels

Exact Outage Analysis of Energy Harvesting Underlay Cooperative Cognitive Networks

Distributed switch and stay combining for selection relay networks

Exact Outage Probability of Two-Way Decode-and-Forward Scheme with Opportunistic Relay Selection Under Physical Layer Security

Error probability performance for multi-hop decode-and-forward relaying over Rayleigh fading channels