This paper investigates the #optimal #pilot #power #allocation during the channel estimation stage to improve the ergodic channel gain of #reconfigurable #intelligent #surface (#RIS)-assisted systems under practical imperfect #channel #state #information (#CSI). Specifically, the authors commence by deriving an explicit closed-form expression of the #ergodic #channel gain of a #multi-#RIS-#aided #communication system that takes into account channel estimation errors. Then, they formulate the pilot power allocation problem to maximize the ergodic channel gain under #imperfect #CSI, subject to the average pilot power constraint. Then, the method of Lagrange multipliers is invoked to obtain the optimal pilot power allocation solution, which indicates that allocating more power to the pilots for estimating the weak reflection channels is capable of effectively improving the ergodic channel gain under imperfect CSI.----Jiancheng An, Chau Yuen More details can be found at this link: https://lnkd.in/gy6aeZKb
Shannon Wireless
Higher Education
This page aims to share the latest research in wireless communications.
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This channel aims to share the latest research in wireless communications. We look forward to exploring these topics together and welcoming your feedback. Please feel free to like, retweet, comment or favorite to stay engaged in the discussion.
- Industry
- Higher Education
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- 51-200 employees
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Updates
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This paper proposes #user-#wise singular #value #decomposition (#UW-#SVD) to accelerate the convergence of iterative #multiple-#input #multiple-#output (#MIMO) detectors. Its basic principle is to perform SVD on each user’s sub-channel matrix to eliminate intra-user interference. Then, the MIMO signal model is effectively transformed into an #equivalent #signal (#e-#signal) model, comprising an #e-#channel #matrix and an #e-#signal #vector. ----@Jiuyu Liu, Yi Ma, @Jinfei Wang, Rahim Tafazolli More details can be found at this link: https://lnkd.in/eafmyqmt
Accelerating Iteratively Linear Detectors in Multi-User (ELAA-)MIMO Systems with UW-SVD
ieeexplore.ieee.org
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This paper investigates the performance of adaptive #LoRa networks with #dynamic #SF allocation accounting for #Duty #Cycle (#DC) restrictions and quantifying the imperfect orthogonality of #Spreading #Factor (#SF)s. The study presents a #novel #spatiotemporal #model that combines #stochastic #geometry and #queuing #theory where LoRa devices are perceived as interacting two-dimensional DTMCs. Each chain jointly tracks the number of packets in the buffer and the node’s protocol state. ----Yathreb Bouazizi, Fatma Benkhelifa, Hesham Elsawy, Julie McCann More details can be found at this link: https://lnkd.in/eFc48rGN
SF-Adaptive Duty-Cycled LoRa Networks: Scalability, Reliability, and Latency Tradeoffs
ieeexplore.ieee.org
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This study considers a specific #category #of #digital #modulations for #over-#the-#air #computations, #quadrature #amplitude #modulation (#QAM) and #pulse-#amplitude #modulation (#PAM), for which they introduce a #novel #coding #scheme called #SumComp. Furthermore, the authors derive a #mean #squared #error (#MSE) analysis for SumComp coding in the computation of the arithmetic mean function and establish an upper bound on the #mean #absolute #error (#MAE) for a set of nomographic functions.----@Saeed Razavikia, @José Mairton Barros Da Silva Júnior, Carlo Fischione More details can be found at this link: https://lnkd.in/eJ7jyyMY
SumComp: Coding for Digital Over-the-Air Computation via the Ring of Integers
ieeexplore.ieee.org
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This paper addresses this issue by developing a framework, Priza, for clustering the #WiFi-#Power #Line #Communications (#PLC) extenders to intelligently form a #DAS (#distributed #antenna #system) to mitigate the inefficiency of sharing the #PLC #backhaul. By appropriately managing clustering and reuse, #Priza improves the PLC backhaul sharing, while at the same time, harnessing the power pooling and diversity gains from DAS on the wireless part of the network, to boost user throughputs. They evaluate Priza via real testbed experiments and high-fidelity simulations and demonstrate that it can increase the aggregate throughput by up to 131.5% ----Hisham Alhulayyil, Jiasi Chen, @Karthikeyan Sundaresan, @Srikanth Krishnamurthy More details can be found at this link: https://lnkd.in/eJY5N8zY
Priza: Throughput-efficient DAS Clustering of WiFi-PLC Extenders in Enterprises
ieeexplore.ieee.org
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This paper proposes fast #successive #cancellation (#SC) decoding for #non-#binary #polar #codes (#NBPCs) constructed based on 2×2 kernels. In particular, they extend the special nodes of #binary #polar #codes (#BPCs) to their #non-#binary counterpart and define various non-binary special nodes in the SC decoding tree of NBPCs and propose their fast decoding. This way, they avoid traversing the full decoding tree and significantly reduce the decoding delay compared to #symbol-#by-#symbol SC decoding. They also propose a simplified NBPC structure that facilitates the procedure of non-binary fast SC decoding.----Ali Farsiabi, Ph.D., Hamid Ebrahimzad, Masoud Ardakani, Chuandong Li More details can be found at this link: https://lnkd.in/eTxdvmtA
Fast Successive-Cancellation Decoding of 2×2 Kernel Non-Binary Polar Codes
ieeexplore.ieee.org
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This paper is a #survey providing an #in-#depth #review of #multi-#satellite #Multiple #Input #Multiple #Output (#MIMO) systems as a potential solution for addressing the link budget challenge in direct satellite-to-device communication. Special attention is given to works considering multi-satellite MIMO systems, both with and #without #satellite #collaboration. In this context, collaboration refers to sharing data between satellites to improve the performance of the system. This survey starts by highlighting the industry’s views on the importance of enabling the #direct #satellite-#to-#device communications. It follows by explaining several fundamental aspects of #satellite #communications (#SatComs), which are vital prerequisites before investigating the multi-satellite MIMO systems. ----Zohre Mashayekh Bakhsh, Yasaman Omid, Gaojie Chen, @Farbod Kayhan, Yi Ma, Rahim Tafazolli More details can be found at this link: https://lnkd.in/ecjvd_5Q
Multi-Satellite MIMO Systems for Direct Satellite-to-Device Communications: A Survey
ieeexplore.ieee.org
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This paper offers a comprehensive state-of-the-art on #high-#throughput #satellite (#HTS) systems, focusing on standardization, patents, #channel #multiple #access #techniques, routing, load balancing, and the role of #software-#defined #networking (#SDN). In addition, the authors provide a vision for #next-#generation satellite systems that they have named #Extremely-#HTS (#EHTS) toward autonomous satellites supported by the main requirements and key technologies expected for these systems. The EHTS system will be designed to #maximize #spectrum reuse and data rates and to flexibly steer the capacity to satisfy user demand. They introduce a novel architecture for future programmable regenerative payloads as well.----Olfa Ben Yahia, Zineb GARROUSSI, Olivier B., Brunilde Sansò, Stephane Martel, Antoine Lesage-Landry, Gunes Karabulut Kurt More details can be found at this link: https://lnkd.in/eZqc63UB
Evolution of High-Throughput Satellite Systems: A Vision of Programmable Regenerative Payload
ieeexplore.ieee.org
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In this paper, the authors consider a #stacked #intelligent #metasurface (#SIM) with the ability to perform #beamforming in the #electromagnetic (#EM) wave domain. They develop a path-loss model that allows them to compute the received power of the signal after passing through the SIM. Based on the proposed path-loss model, they formulate an optimization problem to maximize the power at a desired target location in space. They develop a #gradient #ascent #algorithm that can be applied when the phases of the meta-atoms of the SIM can be continuously varied. Also, they develop an #alternating #optimization (#AO) algorithm for the same problem when the meta-atoms can only apply discrete phase shifts. In addition, they formulate an optimization problem whose objective is to produce a given target radiation pattern on a 2D plane located at a certain distance from the center of the SIM. The corresponding algorithms for the continuous and discrete values for the transmission coefficients applied by the SIM are provided. ---- Naveed UL Hassan, Jiancheng An, Marco Di Renzo, Merouane Debbah, Chau Yuen More details can be found at this link: https://lnkd.in/gUmSJu7k
Efficient Beamforming and Radiation Pattern Control Using Stacked Intelligent Metasurfaces
ieeexplore.ieee.org
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In this article, the authors introduce a novel approach for enhancing cellular connectivity for #unmanned #aerial #vehicles (#UAVs) on aerial highways via terrestrial 5G networks. Owing to their ability to navigate 3D space, UAVs may experience favourable channel gains across multiple network cells; thus, from a network operator’s perspective, selecting serving cells that maximize UAV capacity is not straightforward. Merely considering conventional metrics like #reference #signal #received #power (#RSRP) may lead to selecting cells that offer high power but are inefficient in multiplexing UAVs, leading to possible reduced data rate performance. To tackle this problem, they propose a novel 5G #synchronization #signal #block (#SSB) beams planning solution to strategically control the UAVs cell association and maximize UAVs capacity without affecting terrestrial users. To solve the associated NP-hard problem, they propose a heuristic solution based on a novel metric that captures the multiplexing capability, average channel quality gain, and interference. Leveraging their proposed metric, they first optimally split the aerial highway and define serving cells, and then optimally select SSB beams and their transmitting power to ensure coverage from the previously defined serving cells set. ---- Matteo BERNABE’, David Lopez-Perez, Nicola Piovesan , Giovanni Geraci, David Gesbert More details can be found at this link: https://lnkd.in/evPSxYST
Massive MIMO for Aerial Highways: Enhancing Cell Selection via SSB Beams Optimization
ieeexplore.ieee.org