Muhammad Ahsan’s Post

Resource allocation strategies in optical networks are fundamental due to bandwidth limitations, increasing data demand, and the consequent need for spectral efficiency. They allow for improving optical spectrum usage and ensure flexibility in the face of the dynamic nature of traffic and the coexistence of different services, reducing costs and contributing to the system’s reliability. In this context, this work proposes a resource allocation strategy that combines power assignment with spectrum allocation. Power assignment is done by launching the minimum required power plus a margin according to the route’s state. Meanwhile, spectrum allocation is performed through a modified version of the Min Slot Continuity Capacity Loss (MSCL) heuristic, capable of finding a set of frequency slots in a route, which results in minor allocation capacity loss. The choice of the MSCL algorithm was motivated by the possibility of increasing spectral efficiency through the reduction of physical layer penalties and the reduction of spectrum fragmentation by combining freedom degrees: launch power of light, modulation, route, and spectrum. The developed heuristic was tested on two networks with distinct characteristics and compared with two reference approaches. The results demonstrated a significant superiority in terms of reducing the blocking probability. Link avalable in https://lnkd.in/eiZUARyV #SBMO #JMOe

Resource allocation strategies in optical networks are fundamental due to bandwidth limitations, increasing data demand, and the consequent need for spectral efficiency. They allow for improving optical spectrum usage and ensure flexibility in the face of the dynamic nature of traffic and the coexistence of different services, reducing costs and contributing to the system’s reliability. In this context, this work proposes a resource allocation strategy that combines power assignment with spectrum allocation. Power assignment is done by launching the minimum required power plus a margin according to the route’s state. Meanwhile, spectrum allocation is performed through a modified version of the Min Slot Continuity Capacity Loss (MSCL) heuristic, capable of finding a set of frequency slots in a route, which results in minor allocation capacity loss. The choice of the MSCL algorithm was motivated by the possibility of increasing spectral efficiency through the reduction of physical layer penalties and the reduction of spectrum fragmentation by combining freedom degrees: launch power of light, modulation, route, and spectrum. The developed heuristic was tested on two networks with distinct characteristics and compared with two reference approaches. The results demonstrated a significant superiority in terms of reducing the blocking probability. Link avalable in https://lnkd.in/eiZUARyV #SBMO #Jmoe

This work focuses on the minimization of interference from the neighboring cells through optimal resource allocation and power optimization. #Rate-#splitting #multiple #access (#RSMA) technique is employed where the message to be transmitted is divided into two parts. Two modes for resource allocation are formulated which aims to maximize the throughput under certain interference constraints. The radius of coverage expression is derived for switching of modes to take place. #Successive #interference #cancelation (#SIC) is introduced as a power constraint which enhances the overall performance of the network. Subsequently, Lagrange’s dual-optimization method is utilized for optimizing the #device-#to-#device (#D2D) transmit power and also lowering the computational complexity of the overall network. ---- Dr. Subhra Sankha Sarma, Ranjay Hazra, Pratik Goswami More details can be found at this link: https://lnkd.in/gFJU3pD3

This work presents two #time-#triggered #resource #allocation mechanisms which guarantee worst-case latencies for UL transmissions based on scheduled Trigger Frames in #OFDMA-based Wi-Fi. These mechanisms support converged networks, i.e., periodic, aperiodic and best effort traffic transmitted on the same network infrastructure. Combined with a previously presented modification that allows the AP to reliably access the channel with a worst-case delay of 55 μs, the authors show that the proposed resource allocation strategies based on OFDMA can support worst-case latency bounds. ---- Ben Schneider, Björn Richerzhagen, Dr.-Ing., Michael Bahr, Georg Carle More details can be found at this link: https://lnkd.in/gvGBit6e

This article presents a comprehensive overview of techniques for #channel #estimation, particularly, #frequency #division #duplex (#FDD)-based estimation techniques for a communication network. An exhaustive literature survey of FDD-based estimation schemes is presented, with a comprehensive review of the #coordinated #multipoint (#CoMP) strategies in 5G radio networks, and its reliance on acquisition of #channel #state #information (#CSI). Since accurate CSI promotes the adoption of channel precoding, and reliable signal detection in FDD-based 5G systems, therefore, channel estimation for CSI in conjunction with CoMP transmission is preferable. The authors also present future research directions for FDD-based channel estimation and CoMP in 5G. ---- Beenish Hassan, Prof. Dr. Sobia Baig, Hafiz Asif, Shahid Mumtaz, Sami Muhaidat More details can be found at this link: https://lnkd.in/euk3KEft

In this paper, they present a #comprehensive #survey on #mmWave and #THz #beam management.Communication in #millimeter #wave (#mmWave) and even terahertz (#THz) frequency bands is ushering in a new era of wireless communications. Beam management, namely initial access and beam tracking, has been recognized as an essential technique to ensure robust #mmWave/ #THz communications, especially for #mobile #scenarios. However, #narrow #beams at higher carrier frequency lead to huge beam measurement overhead, which has a negative impact on beam acquisition and tracking. In addition, the #beam #management process is further complicated by the fluctuation of #mmWave/ #THz channels, the random movement patterns of users, and the dynamic changes in the environment.The introduction of these enabling technologies presents both open opportunities and unique challenges for beam management. Besides, they give some insights on technical challenges and future research directions in this promising area.@Qing Xue; @Chengwang Ji; Shaodan Ma @Jiajia Guo; @Yongjun Xu; @Qianbin Chen More details can be found at this link: https://lnkd.in/gRVJfbzV

An easy to follow video covering some basic topics of Fluid Antenna System (FAS) for wireless communications.

Next Gen Technology: Fluid Antenna System (FAS) Next-generation reconfigurable antenna (NGRA) technology has been explored as a promising solution for enabling flexible and adaptive wireless communications. Fluid antenna system (FAS) encompasses any software-controllable fluidic, dielectric or conductive structures, including but not limited to liquid-based antennas, pixel-based antennas, and metasurfaces, that can dynamically reconfigure their shape, size, position, length, orientation, and other radiation characteristics. This technology has inspired several related research studies, such as movable antenna system, flexible-position multiple-input multiple-output (MIMO) system, reconfigurable antenna MIMO system, and flexible antenna array, which can be referred to as other NGRA systems. Compared to traditional antenna systems, the reconfigurability of FAS and other NGRA systems introduces new degrees of freedom, thereby enhancing the diversity and multiplexing performance. With their ultra-high spatial resolution, FAS and other NGRA systems offer new capabilities to exploit spatial opportunities where interference naturally experiences deep fades in multiuser communications, leading to concepts such as Fluid Antenna Multiple Access (FAMA) and Compact Ultra Massive Antenna Arrays (CUMA).

In this letter, the authors dimension the radio resources needed to achieve a given failure probability target for #ultra-#reliable #wireless #systems in high interference conditions, assuming a protocol with frequency hopping combined with packet repetitions. They resort to packet erasure channel models and derive the minimum amount of resource units in the case of receiver with and without collision resolution capability, as well as the number of packet repetitions needed for achieving the failure probability target. ---- Gilberto Berardinelli, Ramoni Adeogun, PhD, R.Eng, SMIEE More details can be found at this link: https://lnkd.in/d9X5NvUJ

In this article, the authors introduced a novel mission reliability and mission effective capacity metric that takes these phenomena medium into account, while specifically studying #multiconnectivity (#MC)-enabled industrial radio systems. They assume uplink short packet transmission with no channel state information at #ultra-#reliable #low-#latency #communication (#URLLC) user (the transmitter) and sporadic traffic arrival. Moreover, they leverage the existing framework of dependability theory and provide #closed-#form #expressions (#CFEs) for the mission reliability of the MC system using the maximal-ratio combining scheme. They do so by utilizing the mean time to first failure, which is the expected time of failure occurring for the first time. Moreover, they also derive exact CFEs for second-order statistics, such as level crossing rate and average fade duration, showing how fades are distributed in fading channels with respect to time. ---- Irfan Muhammad, Hirley Alves, Nurul Huda Mahmood, Onel L. Alcaraz López, Matti Latva-aho More details can be found at this link: https://lnkd.in/eF4KdHfh