Millimeter-Wave in the Face of 5G Communication Potential Applications

Mallat, Nazih Khaddaj; Ishtiaq, Madeeha; Rehman, Ateeq Ur; Iqbal, Amjad

doi:10.1080/03772063.2020.1714489

Cited by 42 publications

(19 citation statements)

References 35 publications

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“…The development of data‐hungry apps (ie, virtual reality gaming) has been improved through 5G technologies. However, some other applications (ie, sending holographic videos) still require a different spectrum bandwidth that is still unavailable in mmWave spectrum 18 . Therefore, using a broader frequency spectrum bandwidth has become mandatory, and this can be achieved by using terahertz (THz) and their sub‐bands.…”

Section: Current Cellular Networkmentioning

confidence: 99%

6G: A comprehensive survey on technologies, applications, challenges, and research problems

Mahmoud

Amer

Ismail

2021

Trans Emerging Tel Tech

107

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The inherent limitations of the network keep on going to be revealed with the continuous deployment of cellular networks. The next generation 6G is motivated by these drawbacks to properly integrate important rate‐hungry applications such as extended reality, wireless brain‐computer interactions, autonomous vehicles, and so on. Also, to support significant applications, 6G will handle large amounts of data transmission in smart cities with much lower latency. It combines many state‐of‐the‐art trends and technology to provide higher data rates for ultra‐reliable and low latency communications. By outlining the system requirements, potential trends, technologies, services, applications, and research progress, this article comprehensively conceptualized the 6G cellular system. Open research issues and current research groups in their field of research are summarized to provide readers with the technology road‐map and the potential challenges to consider in their 6G research.

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Section: Current Cellular Networkmentioning

confidence: 99%

6G: A comprehensive survey on technologies, applications, challenges, and research problems

Mahmoud

Amer

Ismail

2021

Trans Emerging Tel Tech

107

View full text Add to dashboard Cite

show abstract

“…where p(d i |r, α) = ∑ i∈N j \i a p(a,d|r, α)da (3) of which N j is the neighbor of base station antenna j.…”

Section: Solution Frameworkmentioning

confidence: 99%

“…Meanwhile, the development of the 5G network relies highly on the improvement of WSNs, which are comprised of a large number of cheap devices that can be used to observe and preprocess neighboring physical and environmental changes. To construct an efficient path through the tremendous amount of base stations, millimeter wave technology is one of the critical parts of 5G technology [ 1 , 2 , 3 ]. Therefore, for 5G networks, it is essential to know the channel impulse response (CIR) of the millimeter waves, i.e., to estimate the channel pattern between different base stations.…”

Section: Introductionmentioning

confidence: 99%

Variational Channel Estimation with Tempering: An Artificial Intelligence Algorithm for Wireless Intelligent Networks

Liu

Chen

et al. 2020

Sensors

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With the rapid development of wireless sensor networks (WSNs) technology, a growing number of applications and services need to acquire the states of channels or sensors, especially in order to use these states for monitoring, object tracking, motion detection, etc. A critical issue in WSNs is the ability to estimate the source parameters from the readings of a distributed sensor network. Although there are several studies on channel estimation (CE) algorithms, existing algorithms are all flawed with their high complexity, inability to scale, inability to ensure the convergence to a local optimum, low speed of convergence, etc. In this work, we turn to variational inference (VI) with tempering to solve the channel estimation problem due to its ability to reduce complexity, ability to generalize and scale, and guarantee of local optimum. To the best of our knowledge we are the first to use VI with tempering for advanced channel estimation. The parameters that we consider in the channel estimation problem include pilot signal and channel coefficients, assuming there is orthogonal access between different sensors (or users) and the data fusion center (or receiving center). By formulating the channel estimation problem into a probabilistic graphical model, the proposed Channel Estimation Variational Tempering Inference (CEVTI) approach can estimate the channel coefficient and the transmitted signal in a low-complexity manner while guaranteeing convergence. CEVTI can find out the optimal hyper-parameters of channels with fast convergence rate, and can be applied to the case of code division multiple access (CDMA) and uplink massive multi-input-multi-output (MIMO) easily. Simulations show that CEVTI has higher accuracy than state-of-the-art algorithms under different noise variance and signal-to-noise ratio. Furthermore, the results show that the more parameters are considered in each iteration, the faster the convergence rate and the lower the non-degenerate bit error rate with CEVTI. Analysis shows that CEVTI has satisfying computational complexity, and guarantees a better local optimum. Therefore, the main contribution of the paper is the development of a new efficient, simple and reliable algorithm for channel estimation in WSNs.

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“…5G networks will deliver an extensive variety of services comprising enhanced mobile broadband (eMBB), ultra-reliable and low-latency communications (uRLLC), and massive machine type communications (mMTC); for detailed information about the vision, requirements, and core features of 5G wireless cellular mobile communication networks, refer to [2,[7][8][9]. However, wireless data traffic volume and the magnitude of connected things are expected to leap to hundredfold of equipment in a given cubic meter.…”

Section: Introductionmentioning

confidence: 99%

Sixth Generation (6G) Wireless Networks: Vision, Research Activities, Challenges and Potential Solutions

et al. 2020

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The standardization activities of the fifth generation communications are clearly over and deployment has commenced globally. To sustain the competitive edge of wireless networks, industrial and academia synergy have begun to conceptualize the next generation of wireless communication systems (namely, sixth generation, (6G)) aimed at laying the foundation for the stratification of the communication needs of the 2030s. In support of this vision, this study highlights the most promising lines of research from the recent literature in common directions for the 6G project. Its core contribution involves exploring the critical issues and key potential features of 6G communications, including: (i) vision and key features; (ii) challenges and potential solutions; and (iii) research activities. These controversial research topics were profoundly examined in relation to the motivation of their various sub-domains to achieve a precise, concrete, and concise conclusion. Thus, this article will contribute significantly to opening new horizons for future research directions.

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Millimeter-Wave in the Face of 5G Communication Potential Applications

Cited by 42 publications

References 35 publications

6G: A comprehensive survey on technologies, applications, challenges, and research problems

6G: A comprehensive survey on technologies, applications, challenges, and research problems

Variational Channel Estimation with Tempering: An Artificial Intelligence Algorithm for Wireless Intelligent Networks

Sixth Generation (6G) Wireless Networks: Vision, Research Activities, Challenges and Potential Solutions

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