Optimal combining and performance analysis for two-way EH relay systems with TDBC protocol

In this paper, we investigate a simultaneous wireless information and power transfer (SWIPT) based two-way decode-and-forward (DF) relay network, where time switching (TS) is employed for SWIPT and time division broadcast (TDBC) is employed for two-way relaying. We focus on the design of a combining scheme that decides how the relay combines the signals received from two terminals through a power allocation ratio at the relay. We formulate an optimization problem to minimize the system outage probability and obtain the optimal power allocation ratio in closed form. For the proposed optimal combining scheme, we derive the expression for the system outage probability. Simulation results verify our derived expressions and show that the proposed scheme achieves a lower system outage probability than the existing schemes

マルチホップ無線ネットワークの特性解析に関する研究

九州工業大学博士学位論文 学位記番号:情工博甲第309号 学位授与年月日:平成28年3月25日1 Introduction||2 Impact of Transceiver Hardware Impairments on Cognitive Network||3 Case study: Two-Way Cognitive Relay in RF Energy HarvestingWireless Sensor Network||4 Soft Information Relaying Protocol||5 Overall Conclusion and FutureWorkWireless communication has been considered as the most efficient mean of data transmission. We have been witnessed the breakthrough of wireless communication era in many manifolds, such as speech, coverage area, and stability. However, frequency bands, the resource to convey information wirelessly, are limited and expensive to be granted usage licenses. Attaining the goals of ubiquitous wireless devices will require the future wireless networks stepping forward to overcome the scarcity and expensiveness of wireless frequency bands. Thus, the future wireless networks should evolve to utilize wireless frequencies more efficiently, such as cognitive relay network where non-license users are able to transmit data in the same frequency band that officially allocated to primary users. Subsequently, the transmit power of users in a cognitive network is limited and the performance is vulnerable to impairments of transceiver hardware. This dissertation aims to analyze the performance of the cognitive relay network under the impact of transceiver hardware impairments. A case study of two-way cognitive relay network is given for further investigate the impact of transceiver hardware impairments on end-to-end outage performance and throughput. Furthermore, we provide a new relaying scheme in order to lessen the impact of transceiver hardware impairment and further boost the system performance. For the purposes, this dissertation is organized into five (5) chapters. Chapter 1: Introduction. In this chapter, multihop wireless networks and the performance metrics are overviewed. In particular, the relay networks and cognitive relay networks are presented. Moreover, the general model of the practical transceiver hardware impairment is detailed for further analysis. Chapter 2: The impact of transceiver hardware impairments on cognitive relay networks. By using the general hardware impairment model for the received signal, the closed forms of outage probability of the relay network with decode-and-forward (DF) and amplify-and-forward (AF) under the impact of transceiver hardware imperfection are derived. Based on these results, we provide further discussion on transceiver hardware selection guideline. Chapter 3: Case study: two-way cognitive relaying in energy harvesting wireless sensor networks. A two-way relay wireless sensor network equipped with RF energy harvesting node is introduced. This network is aimed to be implemented in hazardous or remote areas where power supply for the relay node is difficult to maintain. In this chapter, we consider four configurations of the network with formed by combining two bidirectional relaying protocols and two wireless power transfer policies. The detailed performance analysis of outage probability and throughput of the case-study network with four configurations are presented. Based on the analysis, we provide performance comparison between the four and suggest the network configuration with the best performance. Chapter 4: Soft information relaying protocol. The soft information relaying protocol is proposed and analyzed. The analysis shows that this relaying protocol can gradually reduce the impact of transceiver hardware impairment on cognitive relay networks. Hence, soft relaying protocol is considered as a solution for cognitive relay network with cost-effective wireless transceiver devices. Chapter 5: Overall conclusion. An overall summary of the works presented in the above is provided in this chapter. Moreover, the future related work is also discussed. The results in this dissertation acknowledge the impact of transceiver hardware impairment by presenting the reduction of outage probability and throughput of the cognitive relay network. It puts forward the consideration of including the impact of transceiver hardware impairments on wireless network performance analysis, especially for the cognitive networks of which the transmit power is limited. Furthermore, a new relaying protocol, namely soft information relaying protocol, is proposed as a solution to lessen the impact of transceiver hardware impairment. The analysis shows that the impact of transceiver hardware impairment in cognitive relay network is reduced in compared to conventional relaying schemes. As a final point, we have provided a full picture of performance analysis for the cognitive relay network under the impact of transceiver hardware imperfection and the solution to reduce the performance loss by applying soft information relaying scheme. This research would contribute to boost the development of cognitive relay networks where frequency bands are used more efficiently

Resource allocation in future green wireless networks : applications and challenges

Over the past few years, green radio communication has been an emerging topic since the footprint from the Information and Communication Technologies (ICT) is predicted to increase 7.3% annually and then exceed 14% of the global footprint by 2040. Moreover, the explosive progress of ICT, e.g., the fifth generation (5G) networks, has resulted in expectations of achieving 10-fold longer device battery lifetime, and 1000-fold higher global mobile data traffic over the fourth generation (4G) networks. Therefore, the demands for increasing the data rate and the lifetime while reducing the footprint in the next-generation wireless networks call for more efficient utilization of energy and other resources. To overcome this challenge, the concepts of small-cell, energy harvesting, and wireless information and power transfer networks can be evaluated as promising solutions for re-greening the world. In this dissertation, the technical contributions in terms of saving economical cost, protecting the environment, and guaranteeing human health are provided. More specifically, novel communication scenarios are proposed to minimize energy consumption and hence save economic costs. Further, energy harvesting (EH) techniques are applied to exploit available green resources in order to reduce carbon footprint and then protect the environment. In locations where implemented user devices might not harvest energy directly from natural resources, base stations could harvest-and-store green energy and then use such energy to power the devices wirelessly. However, wireless power transfer (WPT) techniques should be used in a wise manner to avoid electromagnetic pollution and then guarantee human health. To achieve all these aspects simultaneously, this thesis proposes promising schemes to optimally manage and allocate resources in future networks. Given this direction, in the first part, Chapter 2 mainly studies a transmission power minimization scheme for a two-tier heterogeneous network (HetNet) over frequency selective fading channels. In addition, the HetNet backhaul connection is unable to support a sufficient throughput for signaling an information exchange between two tiers. A novel idea is introduced in which the time reversal (TR) beamforming technique is used at a femtocell while zero-forcing-based beamforming is deployed at a macrocell. Thus, a downlink power minimizationscheme is proposed, and optimal closed-form solutions are provided. In the second part, Chapters 3, 4, and 5 concentrate on EH and wireless information and power transfer (WIPT) using RF signals. More specifically, Chapter 3 presents an overview of the recent progress in green radio communications and discusses potential technologies for some emerging topics on the platforms of EH and WPT. Chapter 4 develops a new integrated information and energy receiver architecture based on the direct use of alternating current (AC) for computation. It is shown that the proposed approach enhances not only the computational ability but also the energy efficiency over the conventional one. Furthermore, Chapter 5 proposes a novel resource allocation scheme in simultaneous wireless information and power transfer (SWIPT) networks where three crucial issues: power-efficient improvement, user-fairness guarantee, and non-ideal channel reciprocity effect mitigation, are jointly addressed. Hence, novel methods to derive optimal and suboptimal solutions are provided. In the third part, Chapters 6, 7, and 8 focus on simultaneous lightwave information and power transfer (SLIPT) for indoor applications, as a complementary technology to RF SWIPT. In this research, Chapter 6 investigates a hybrid RF/visible light communication (VLC) ultrasmall cell network where optical transmitters deliver information and power using the visible light, whereas an RF access point works as a complementary power transfer system. Thus, a novel resource allocation scheme exploiting RF and visible light for power transfer is devised. Chapter 7 proposes the use of lightwave power transfer to enable future sustainable Federated Learning (FL)-based wireless networks. FL is a new data privacy protection technique for training shared machine learning models in a distributed approach. However, the involvement of energy-constrained mobile devices in the construction of the shared learning models may significantly reduce their lifetime. The proposed approach can support the FL-based wireless network to overcome the issue of limited energy at mobile devices. Chapter 8 introduces a novel framework for collaborative RF and lightwave power transfer for wireless communication networks. The constraints on the transmission power set by safety regulations result in significant challenges to enhance the power transfer performance. Thus, the study of technologies complementary to conventional RF SWIPT is essential. To cope with this isue, this chapter proposes a novel collaborative RF and lightwave power transfer technology for next-generation wireless networks

Symmetry in Chaotic Systems and Circuits

Symmetry can play an important role in the field of nonlinear systems and especially in the design of nonlinear circuits that produce chaos. Therefore, this Special Issue, titled “Symmetry in Chaotic Systems and Circuits”, presents the latest scientific advances in nonlinear chaotic systems and circuits that introduce various kinds of symmetries. Applications of chaotic systems and circuits with symmetries, or with a deliberate lack of symmetry, are also presented in this Special Issue. The volume contains 14 published papers from authors around the world. This reflects the high impact of this Special Issue