Abstract:The fifth generation (5G) mobile networks are envisaged to enable a plethora of breakthrough advancements in wireless technologies, providing support of a diverse set of services over a single platform. While the deployment of 5G systems is scaling up globally, it is time to look ahead for beyond 5G systems. This is mainly driven by the emerging societal trends, calling for fully automated systems and intelligent services supported by extended reality and haptics communications. To accommodate the stringent re… Show more
“…However, this comes at the expense of reduced energy efficiency, which constitutes a fundamental challenge in the 5G and beyond wireless networks [9]. Large intelligent surface (LIS) has recently emerged as a disruptive energy and spectrally efficient technology, which is capable of offering a programmable control over the wireless environment [10], [11]. This can be realized by incorporating reflective elements (REs) which manipulate the impinging electromagnetic waves to perform various functionalities, such as wave reflection, refraction, absorption, steering, focusing and polarization [12].…”
Large intelligent surface (LIS) has recently emerged as a potential enabling technology for 6G networks, offering extended coverage and enhanced energy and spectral efficiency. In this work, motivated by its promising potentials, we investigate the error rate performance of LIS-assisted non-orthogonal multiple access (NOMA) networks. Specifically, we consider a downlink NOMA system, in which data transmission between a base station (BS) and L NOMA users is assisted by an LIS comprising M reflective elements. First, we derive the probability density function of the end-to-end wireless fading channels between the BS and NOMA users. Then, by leveraging the obtained results, we derive an approximate expression for the pairwise error probability (PEP) of NOMA users under the assumption of imperfect successive interference cancellation. Furthermore, accurate expressions for the PEP for M = 1 and large M values (M > 10) are presented in closed-form. To gain further insights into the system performance, an asymptotic expression for the PEP in high signal-to-noise ratio regime, the asymptotic diversity order, and a tight union bound on the bit error rate are provided. Finally, numerical and simulation results are presented to validate the derived mathematical results. Index terms-Asymptotic diversity order, bit error rate, large intelligent surfaces, NOMA, pairwise error probability, union bound, 6G.
“…However, this comes at the expense of reduced energy efficiency, which constitutes a fundamental challenge in the 5G and beyond wireless networks [9]. Large intelligent surface (LIS) has recently emerged as a disruptive energy and spectrally efficient technology, which is capable of offering a programmable control over the wireless environment [10], [11]. This can be realized by incorporating reflective elements (REs) which manipulate the impinging electromagnetic waves to perform various functionalities, such as wave reflection, refraction, absorption, steering, focusing and polarization [12].…”
Large intelligent surface (LIS) has recently emerged as a potential enabling technology for 6G networks, offering extended coverage and enhanced energy and spectral efficiency. In this work, motivated by its promising potentials, we investigate the error rate performance of LIS-assisted non-orthogonal multiple access (NOMA) networks. Specifically, we consider a downlink NOMA system, in which data transmission between a base station (BS) and L NOMA users is assisted by an LIS comprising M reflective elements. First, we derive the probability density function of the end-to-end wireless fading channels between the BS and NOMA users. Then, by leveraging the obtained results, we derive an approximate expression for the pairwise error probability (PEP) of NOMA users under the assumption of imperfect successive interference cancellation. Furthermore, accurate expressions for the PEP for M = 1 and large M values (M > 10) are presented in closed-form. To gain further insights into the system performance, an asymptotic expression for the PEP in high signal-to-noise ratio regime, the asymptotic diversity order, and a tight union bound on the bit error rate are provided. Finally, numerical and simulation results are presented to validate the derived mathematical results. Index terms-Asymptotic diversity order, bit error rate, large intelligent surfaces, NOMA, pairwise error probability, union bound, 6G.
“…[33] Oct. MIMO An overview of holographic MIMO surface (HMIMOS) communications including the available hardware architectures for re-configuring such surfaces, highlighting the opportunities and key challenges in designing HMIMOS-enabled wireless communications for 6G. [34] Oct. Survey A comprehensive study of 6G visions, requirements, challenges, and open research issues, outlining seven disruptive technologies, i.e., millimeter wave (mmWave) communications, THz communications, optical wireless communications, programmable meta-surfaces, drone-based communications, back-scatter communications, and Tactile Internet. [35] Nov. THz Analyzes link budget of THz links with justified estimates of calculus terms, such as the achievable or required noise figure, transmit power, and antenna gain.…”
Section: Feb Vehicularmentioning
confidence: 99%
“…The authors of [33] provided an overview of holographic MIMO surface communications as a promising technological enabler for 6G wireless communications. Recently, Bariah et al gave a comprehensive 6G vision in [34], identifying seven disruptive technologies, associated requirements, challenges, and open research issues. From the viewpoints of radio frequency (RF) hardware and antenna, [35] analyzes link budget of THz communication links with justified estimates of calculus terms, such as the achievable or required noise figure, transmit power, and antenna gain.…”
As of today, the fifth generation (5G) mobile communication system has been rolled out in many countries and the number of 5G subscribers already reaches a very large scale. It is time for academia and industry to shift their attention towards the next generation. At this crossroad, an overview of the current state of the art and a vision of future communications are definitely of interest. This article thus aims to provide a comprehensive survey to draw a picture of the sixth generation (6G) system in terms of drivers, use cases, usage scenarios, requirements, key performance indicators (KPIs), architecture, and enabling technologies. First, we attempt to answer the question of "Is there any need for 6G?" by shedding light on its key driving factors, in which we predict the explosive growth of mobile traffic until 2030, and envision potential use cases and usage scenarios. Second, the technical requirements of 6G are discussed and compared with those of 5G with respect to a set of KPIs in a quantitative manner. Third, the state-of-the-art 6G research efforts and activities from representative institutions and countries are summarized, and a tentative roadmap of definition, specification, standardization, and regulation is projected. Then, we identify a dozen of potential technologies and introduce their principles, advantages, challenges, and open research issues. Finally, the conclusions are drawn to paint a picture of "What 6G may look like?". This survey is intended to serve as an enlightening guideline to spur interests and further investigations for subsequent research and development of 6G communications systems.
“…A study says the human body may attenuate the signal by 20-35 dB [9]. Another challenge will be at high frequencies design and fabrication of transceivers for mobile devices is extremely complicated [127]. Besides, the power required to handle the high frequency processing such as Analog to Digital Conversion (ADC) for sampling is yet to be known [28,132].…”
Section: B Thz Communication Spectrummentioning
confidence: 99%
“…Incorporating this challenge as a part of 6G network with different frequencies to communicate for underwater (low frequency) and terrestrial will meet the key requirement of the future networks. The acoustic communication mainly spans between acoustic waves, RF, and optical wireless frequencies; a thorough channel modeling for all three cases is an intricate task [127,9].…”
Next-generation of the cellular network will attempt to overcome the limitations of the current Fifth Generation (5G) networks and equip itself to address the challenges which become obvious in the future. Currently, academia and industry have focused their attention on the Sixth Generation (6G) network, which is anticipated to be the next big game-changer in the telecom industry. The outbreak of COVID'19 has made the whole world to opt for virtual meetings, live video interactions ranging from healthcare, business to education. However, we miss an immersive experience due to the lack of supporting technology. Experts have anticipated that starting from the post-pandemic age, the performance requirements of technology for virtual and real-time communication, the rise of several verticals such as industrial automation, robotics, and autonomous driving will increase tremendously, and will skyrocket during the next decade. In this manuscript, we study the latest perspectives and future megatrends that are most likely to drive 6G. Initially, we describe the instances that lead us to the vision of 6G. Later, we narrate some of the use cases and the KPIs essential to meet their performance requirement. Further, we highlight the key requirements of 6G based on contemporary research such as UN sustainability goals, business model, edge intelligence, digital divide, and the trends in machine learning for 6G.
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