Full length articleA Survey on Implementation and Applications of Full Duplex Wireless Communications
Introduction
Full Duplex (FD) communication is a promising solution to satisfy the increasing demand of mobile data traffic by potentially doubling the system capacity. FD enables wireless systems to simultaneously transmit and receive signals in the same frequency band at the same time. Theoretically, FD transmission can double the spectral efficiency compared to its Half Duplex (HD) counterpart. In traditional systems, where HD mode is used, time division duplex or frequency division duplex are used and this leads to a relatively low spectral efficiency [1]. In contrast, the main advantages of FD transmission can be listed as follows [1], [2]:
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Doubling the ergodic capacity
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Feedback delay reduction
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End-to-end delay reduction
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Network secrecy improvement
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Improving the efficiency of ad hoc network protocols
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Increasing the spectrum usage flexibility
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Increase in throughput
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Collision avoidance
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Solving the hidden terminal problem
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Reducing congestion with the aid of Medium Access Layer (MAC) scheduling
In spite of these benefits, utilizing FD communication has some challenges which can be summarized as follows [1], [2]:
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Self-interference (SI) and imperfect interference cancellation
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Degraded link reliability
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Higher packet loss ratio
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Higher buffer size requirement
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Increased inter-user interference
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Increased power consumption and complexity.
In addition, exploitation of FD capability requires consideration of two important factors: costly equipment capable of delivering FD functionality and coexistence of both uplink (UL) and downlink (DL) transmission on the same channel [3]. Furthermore, FD systems may not always outperform their HD counterpart, and therefore, hybrid schemes developed for adaptively exploiting FD and HD modes should also be considered [2].
The abbreviations which are used in this paper are collected in Table 1.
FD communication has been quite well studied for various types of wireless networks. In this subsection, we review the existing surveys conducted on FD in order to differentiate our work from the existing papers. Our survey investigates the state-of-the-art applications of FD communication. Table 2 presents a comparative summary of existing surveys on FD communication.
A brief review of recent research activities of in-band FD relaying and a discussion on related research issues and challenges have been provided in [6]. The authors explored basics, enabling technologies, information-theoretical performance and key design challenges of in-band FD relaying. The embedding of FD radios in OBUs of future vehicles is discussed in [10]. By considering the effects of imperfect SIC, the authors investigated the design implications of FD devices at higher-layer protocols of future vehicular networks and compared with HD mode.
The authors in [11] provided a detailed overview ofFD-enabled dynamic spectrum sharing and have studied some of the most recent advances in this domain. The authors have also proposed a communication protocol for enabling concurrent sensing and transmission in dynamic spectrum sharing environment. The supporting network architectures and the various transmit and receive antenna designs for FD Cognitive Radio (CR) network communications is reviewed in [9]. The authors classified SI suppression methods for FD CR networks and reviewed the spectrum sensing approaches and security requirements. In addition, major advances in FD MAC protocols, open issues and challenges for supporting FD operations in CR networks are discussed. The authors in [1] studied basic concepts of in-band FD with shared and separated antennas and advanced SIC methods. In addition, research challenges, opportunities and effects of in-band FD on system performance are discussed in the context of bidirectional, relay and cellular networks. Furthermore, development of MAC protocol for an in-band FD system and advantages of in-band FD for spectrum sensing, network secrecy and wireless power transfer are discussed in [1].
A comprehensive list of FD techniques and their pros and cons are presented in [2]. The authors classified various SIC techniques and compared their advantages and disadvantages. In addition, the main impairments that degrades the SIC is analyzed. Furthermore, FD-based MAC protocol design have also been studied. In addition, the challenges related to implementation, performance enhancement and optimization of FD systems are discussed. The potential of FD systems with passive suppression, active analogue cancellation and active digital cancellation for 5G cellular networks have been investigated in [5]. The authors have surveyed the use of FD MAC protocol in order to address challenges such as end-to-end delay and network congestion. In [8], technical challenges and solutions for Long Term Evolution (LTE) compatible FD cellular networks is provided. The authors, by considering features such as wide-band and wide dynamic range support for RF SIC, studied a robust and efficient SI channel estimation technique for digital SIC.
The main concepts of in-band FD wireless is reviewed in [4]. The authors studied a wide range of in-band FD SI mitigation methods and also investigated the design and analysis of research challenges and opportunities in in-band FD wireless systems. In [3], the authors have discussed challenges such as scenarios where FD networking is applicable, effects of interference caused by FD, and more importantly, have also discussed how much improvement could be achieved compared to HD mode when advanced interference management solutions are used. Building on shared-antenna-based transceiver architecture, the challenges of transmitter–receiver isolation in mobile FD devices, have been studied in [7]. The authors provided comprehensive Radio Frequency(RF) measurement results with the aid of complete demonstrator implementation.
From the existing surveys, we can conclude that theresearchers have investigated the FD communication in terms of FD relaying [6], vehicular communication [10], spectrum sensing/sharing [1], [9], [11], MAC protocol design [1], [2], [5], [9], and the most important challenge of FD communication, i.e. SIC [1], [2], [4], [5], [7], [8], [9]. To the best of our knowledge, there is not a survey to investigate FD communication by its applications, while several technologies can exploit FD to improve their performance. Therefore, we aim to classify the applications of FD communication in this paper.
FD communication has attracted many researchers recently [12]. As mentioned before, to the best of our knowledge, there is no survey about applications of FD communication. Therefore, in this paper, we aim to classify the applications of FD communication. In fact, FD communication has a vast variety of applications in different subject areas, such as energy harvesting [13], vehicular communications [14], massive Multiple-Input Multiple-Output (MIMO) [15], small cells [16], millimeter wave [17], military [18], Device-to-Device (D2D) communications [19], relaying [20], network localization [21], cognitive radio [22] and so on. In this paper, we explore some of these important applications to show the tradeoffs that are considered to improve the performance of the system. Topics which are covered in this survey are summarized as:
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Energy Harvesting (EH)
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Vehicular Communications
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Massive MIMO
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Small Cells
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Millimeter Wave
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Military
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Practical Implementation
We describe some important research areas in the field of FD wireless communications. Each topic can exploit FD capabilities according to its use-case. For example, in vehicular communications, an important challenge is to reduce the delay of the system. Hence, FD capability could be used to reduce the delay by simultaneously sensing the environment and sending information. In some other applications, where throughput may be the main performance metric, FD can be used provided SIC and FD-associated problems are taken into consideration. Therefore, we can conclude that for each application, a tradeoff should be considered to use the benefits of FD communication to deal with imposed challenges.
Major topics and performance criteria for FD communication are summarized in Table 3, Table 4, respectively.
The rest of the paper is organized as follows: in Sections 3–7, we review applications of FD communication. At the beginning of each section, the considered application is explained, then existing works considering networking problems, scenarios and performance metrics are reviewed. Finally at the end of each section, challenges of considered application is summarized. In Section 8, future works are introduced and finally paper is concluded.
Section snippets
Vehicular communications
Vehicular communication is expected to support a set of safety applications which make vehicles aware of road hazards or hidden objects. In addition, cooperative, semi-autonomous and autonomous driving can enable vehicles to make decisions based on prediction of what other vehicles will do [68]. An example of this system is illustrated in Fig. 1. Two types of vehicular communications should be considered, vehicle to vehicle (V2V) and vehicle to infrastructure communications. By FD
Energy harvesting
Traditional communication systems are battery powered and have a limited operational lifetime. Hence, in order to maintain network connectivity for longer period of time, replacement or recharging of batteries are required which is typically costly, inconvenient and in some instances, may even be impossible [23]. One of the cost effective solutions to this challenge is harvesting energy from external resources, such as solar, wind, motion and vibration, temperature or other RF sources. This
Massive MIMO
Massive MIMO recently has emerged as a technique to increase the spectral efficiency and communication reliability in comparison with traditional MIMO systems. In addition, massive MIMO systems can reduce the effects of noise, fast fading, interference and can also reduce total transmit power of the system [77]. Serving a small number of users from a massive MIMO BS allows fine-gained beamforming to each user terminal which leads to energy efficient and high-throughput data transmission [25].
Small cells
Small cells are popular candidates for the next generation of cellular systems as they provide easy and cost-efficient way to improve capacity and coverage. Low transmit power, short transmission distance and low mobility make small cells a suitable solution for deployment of FD technology [16]. Due to relatively low transmit power and larger equipment size, dealing with SI signal is more convenient.
Practical implementations
One of the most important considerations in designing algorithms for FD communication is their implication on the practical implementation. System designers should consider practical assumptions while designing algorithms, so that they can be used in realistic environments.
Millimeter wave
Millimeter wave is a promising solution for achieving Gbps-level data rate requirement. However, mm-wave communications suffers from high propagation loss. Considering the recent advances in SIC, FD can be utilized in mm-wave networks as well.
The possible antenna configurations for FD-mmWave transmission for realizing FD transmission in mm-wave band is introduced in [17]. The authors show that the configurations with separate Tx/Rx antenna arrays are more flexible in SI suppression, however,
Prospect of FD communications in 5G and beyond
FD technology has been improved by the researchers significantly over the last few years. However, the practical barriers in its implementation still are a limit for wider adoption of this technology in some of the communications scenarios. For instance, transmit signals at the BS are far more powerful than the received signal from the mobile users. Therefore, even with the aid of state-of-the-art SIC techniques, the received users’ signals would be drowned in FD settings at the BS. Overall, it
Conclusions
In this paper, several applications of FD communications have been investigated. One of these applications is vehicular communication which can potentially exploit FD to support a basic set of safety applications for autonomous driving. FD vehicular systems reduce the delay of the data transmission and improve cooperative autonomous driving by simultaneously sensing environment and communicating with other vehicles. Energy harvesting is another example that increases the network lifetime by
Amirhosein Hajihoseini Gazestani received the B.S. degree in Electrical Engineering at Shahed University, Tehran, Iran, in 2014 and the M.Sc. degree in Telecommunications Engineering from the Shahid Beheshti University (SBU), in 2016. Currently, he is pursuing his PhD. degree in Telecommunications Engineering at SBU, Tehran, Iran. His main research interests include Full Duplex wireless communications, spectrum sensing, cognitive radio and target localization.
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Amirhosein Hajihoseini Gazestani received the B.S. degree in Electrical Engineering at Shahed University, Tehran, Iran, in 2014 and the M.Sc. degree in Telecommunications Engineering from the Shahid Beheshti University (SBU), in 2016. Currently, he is pursuing his PhD. degree in Telecommunications Engineering at SBU, Tehran, Iran. His main research interests include Full Duplex wireless communications, spectrum sensing, cognitive radio and target localization.
Seyed Ali Ghorashi Seyed Ali Ghorashi received his B.Sc. and M.Sc. degrees in Electrical Eng. from the University of Tehran, Iran, in 1992 and 1995, respectively. Since 2000, he worked as a research associate at Kings College London on capacity enhancement methods in multi-layer WCDMA systems sponsored by Mobile VCE. In 2003 He received his PhD at Kings College and since then he worked there as a research fellow. In 2006 he joined Samsung Electronics (UK) Ltd as a senior researcher and now he serves at Department of Telecommunications, Faculty of Electrical Engineering, Shahid Beheshti University at Tehran, Iran, working on wireless communications.
Behnaz Mousavinasab received the B.S. degree in electrical engineering at Isfahan University, Isfahan, Iran, in 2016. Currently, she is pursuing her M.Sc. degree in Telecommunication Engineering at Shahid Beheshti University (SBU), Tehran, Iran. Her main research interest includes Full Duplex wireless communications.
Mohammad Shikh-Bahaei (S’96–M’00–SM’08) received the B.Sc. degree from the University of Tehran, Tehran, Iran, in 1992, the M.Sc. degree from the Sharif University of Technology, Tehran, in 1994, and the Ph.D. degree from the King’s College London, U.K., in 2000. He has worked for two start-up companies, and for National Semiconductor Corporation, Santa Clara, CA, USA (now part of Texas Instruments Inc.), on the design of third-generation mobile handsets, for which he has received three U.S. patents as inventor and co-inventor, respectively. In 2002, he joined the King’s College London as a Lecturer, where he is currently a full Professor. He has since authored or co-authored numerous journal and conference articles. He has been involved in research in the area of wireless communications and signal processing for 25 years both in academic and industrial organizations. His research interests include resource allocation in full-duplex and cognitive dense networks, visual data communications over the IoT, applications in healthcare, and communication protocols for autonomous vehicle/drone networks. He is a fellow of the IET and the Founder and the Chair of the Wireless Advanced (formerly SPWC) Annual International Conference from 2003 to 2018.