Cell planning in mobile communication systems using SGA optimization

Recent advances in Artificial Intelligence (AI)-driven wireless communication are driving the adoption of Sixth Generation (6G) technologies in crucial environments such as hospitals. Visible Light Communication (VLC) leverages existing lighting infrastructure to deliver high data rates while mitigating electromagnetic interference (EMI); however, patient movement induces fluctuating signal strength and dynamic channel conditions. In this paper, we present a novel integration of site-specific ray tracing and machine learning (ML) for VLC-enabled Medical Body Sensor Networks (MBSNs) channel modeling in distinct hospital settings. First, we introduce a Q-learning-based adaptive modulation scheme that meets target symbol error rates (SERs) in real time without prior environmental information. Second, we develop a Long Short-Term Memory (LSTM)-based estimator for path loss and Root Mean Square (RMS) delay spread under dynamic hospital conditions. To our knowledge, this is the first study combining ray-traced channel impulse response modeling (CIR) with ML techniques in hospital scenarios. The simulation results demonstrate that the Q-learning method consistently achieves SERs with a spectral efficiency (SE) lower than optimal near the threshold. Furthermore, LSTM estimation shows that D1 has the highest Root Mean Square Error (RMSE) for path loss (1.6797 dB) and RMS delay spread (1.0567 ns) in the Intensive Care Unit (ICU) ward, whereas D3 exhibits the highest RMSE for path loss (1.0652 dB) and RMS delay spread (0.7657 ns) in the Family-Type Patient Rooms (FTPRs) scenario, demonstrating high estimation accuracy under realistic conditions.

This paper focused on differences of vehicle-to-vehicle (V2V) radio channel characteristics in the same region but different traffic density and speeds (congestion and non-congestion) at 5.9 GHz. Continuous measurement campaign was conducted on a city expressway through the complex dense urban area in Wuhan, China. Small-scale channel characteristics including power delay profile (PDP), amplitude fading distribution, K-factor, delay spread and doppler shift were obtained, respectively. Specifically, the cumulative distribution function (CDF) of root mean square (RMS) delay spreads and RMS doppler spreads in non-congestion scenario and congestion scenario were all fitted well with Lognormal distribution. We also found that different intensity of traffic and speed of vehicles have little effect on RMS delay spreads, but have a big impact on RMS doppler spreads. According to estimation outcomes, the V2V channel characteristics in Chinese urban scenario were different from the previous measured results in European cities. All of these conclusions in this paper can provide references to design the wireless communication system for V2V channel.

Comparisons of outdoor Urban Microcell (UMi) large-scale path loss models, root mean square (RMS) delay spreads (DS), angular spreads (AS), and the number of spatial beams for extensive measurements performed at 28, 38, 73, and 142 GHz are presented in this letter. Measurement campaigns were conducted from 2011–2020 in downtown Austin, Texas, Manhattan (New York City), and Brooklyn, New York with communication ranges up to 930 m. Key similarities and differences in outdoor wireless channels are observed when comparing the channel statistics across a wide range of frequencies from millimeter-wave to sub-THz bands. Path loss exponents (PLEs) are remarkably similar over all measured frequencies, when referenced to the first meter free space path loss, and the RMS DS and AS decrease as frequency increases. The similar PLEs from millimeter-wave to THz frequencies imply that spacing between cellular base stations will not have to change as carrier frequencies increase towards THz, since wider bandwidth channels at sub-THz or THz carrier frequencies will cover similar distances because antenna gains increase quadratically with increasing frequency when the physical antenna area remain constant.

In this paper, new channel parameters to characterize the capacity of single-input single-output (SISO) frequency-selective wireless channels are proposed, and the results of an indoor measurement campaign conducted at 2.38 GHz with a bandwidth of 20 MHz are reported. Using the Taylor series expansion of the channel capacity, the mean path gain that quantifies the average power gain of the channel and the normalized mean-square path gain that quantifies the frequency selectivity of the channel are derived. The experimental results verify that the proposed parameters better characterize the capacity than the root mean-square (RMS) delay spread that has been mostly used to parameterize wireless channels.

This paper analyses the suitability of the RMS delay spread and coherence bandwidth when characterising system quality-of-service of QPSK operating in a variety of wideband mobile channels. It is demonstrated that the RMS delay spread is unduly affected by the presence of relatively weak signals with large excess delay, limiting it's effectiveness when characterising the time dispersion. The coherence bandwidth is shown to offer a more general dispersion metric. Furthermore it is indicated that the instantaneous system performance is poorly characterised by the dispersion parameters calculated from the discrete power delay profile (such as the RMS delay spread). The instantaneous delay spread incorporates the effects of pulse shaping and the vector summation which occurs in the instantaneous channel impulse response. Consequently, the instantaneous delay spread is demonstrated to provide a better indication of the instantaneous performance than the RMS delay spread.

This review paper reveals the broadband potential of overhead and underground low-voltage (LV) and medium-voltage (MV) broadband over power lines (BPL) networks associated with multiple-input multiple-output (MIMO) technology. The contribution of this review paper is fourfold. First, the unified value decomposition (UVD) modal analysis is introduced. UVD modal analysis is a new technique that unifies eigenvalue decomposition (EVD) and singular value decomposition (SVD) modal analyses achieving the common handling of traditional SISO/BPL and upcoming MIMO/BPL systems. The validity of UVD modal analysis is examined by comparing its simulation results with those of other exact analytical models. Second, based on the proposed UVD modal analysis, the MIMO channels of overhead and underground LV and MV BPL networks (distribution BPL networks) are investigated with regard to their inherent characteristics. Towards that direction, an extended collection of well-validated metrics from the communications literature, such as channel attenuation, average channel gain (ACG), root-mean-square delay spread (RMS-DS), coherence bandwidth (CB), cumulative capacity, capacity complementary cumulative distribution function (CCDF), and capacity gain (GC), is first applied in overhead and underground MIMO/LV and MIMO/MV BPL channels and systems. It is found that the results of the aforementioned metrics portfolio depend drastically on the frequency, the power grid type (either overhead or underground, either LV or MV), the MIMO scheme configuration properties, the MTL configuration, the physical properties of the cables used, the end-to-end distance, and the number, the electrical length, and the terminations of the branches encountered along the end-to-end BPL signal propagation. Third, three interesting findings concerning the statistical properties of MIMO channels of distribution BPL networks are demonstrated, namely, (i) the ACG, RMS-DS, and cumulative capacity lognormal distributions; (ii) the correlation between RMS-DS and ACG; and (iii) the correlation between RMS-DS and CB. By fitting the numerical results, unified regression distributions appropriate for MIMO/BPL channels and systems are proposed. These three fundamental properties can play significant role in the evaluation of recently proposed statistical channel models for various BPL systems. Fourth, the potential of transformation of overhead and underground LV/BPL and MV/BPL distribution grids to an alternative solution to fiber-to-the-building (FTTB) technology is first revealed. By examining the capacity characteristics of various MIMO scheme configurations and by comparing these capacity results against SISO ones, a new promising urban backbone network seems to be born in a smart grid (SG) environment.

In this paper a realistic directional channel model that is an extension of COST 273 channel model is presented. The model uses a previously developed cluster and visibility generation strategy with increased realism, due to the introduction of terrain and clutter information. The new model was implemented using terrain, clutter, street and user mobility information for the city of Lisbon,Portugal. The simulation analysis was performed and joint statistical properties of azimuth spread and delay spread were compared with other models and available experimental data. The introduction of clutter and terrain information into the simulations produces an increase on multi-path delay and azimuth spread, underlining Lisbon bad urban characteristics.

In this study, radio channel measurements were conducted in an urban inland river environment at 5.9GHz. The measurements consisted of both the line of sight (LOS) and non-line of sight (NLOS) cases. We estimate and model channel characteristics based on the measured data. For small-scale fading properties, best fit small-scale fading distribution is determined. Statistical models of the Ricean K-factors and Weibull shape parameters are provided. In addition, a distance-dependent Ricean K-factor model for the urban inland river environment is proposed. For the power delay profile (PDP), we perform cluster identification and obtain the cumulative distribution function (CDF) of the inter-cluster interval. A statistical model of the intracluster decay time constant is also presented, and an exponential decay model is applied for modeling the inter-cluster decay of the PDP. For delay spread and Doppler spread, the root mean square (RMS) delay spreads in the LOS case are compared with those in the NLOS case. Moreover, we estimate and analyze RMS Doppler spreads in both the LOS and NLOS cases. Finally, a bimodal Gaussian mixture distribution (BGMD) is employed to characterize the RMS delay spreads and RMS Doppler spreads. The BGMDs exhibit good matching levels.

Accurate symbol timing in multiple-input multiple-output (MIMO) OFDM systems allows for guard-intervals (GIs), which are short compared to the channel's rms delay spread. These short GIs improve the effective throughput of these kind of systems. This paper proposes different timing approaches for MIMO OFDM systems, which apply knowledge about the channel impulse response. The techniques differ in complexity and performance. From a numerical performance study it is concluded that for single-cluster channels and moderate delay spreads the low-complex algorithms can be applied without considerable loss in performance. For high delay spreads and multiple clusters, however, the proposed algorithm, which attempts to maximize the signal-to-inference ratio, is shown to be preferable.

In this paper, we present the small scale characteristics of indoor office scenario based on the channel measurement at 14 GHz with 250 MHz bandwidth. The measurements were operated at more than 100 receiver locations including LOS and NLOS cases over distances up to 55 meters by utilizing a sliding correlator sounder with 125 mega-chip per second (Mcps). Besides, highly directional horn antennas and dipole antennas were used, respectively, to get the channel characteristics including power delay profile (PDP), path number and root-mean-square (rms) delay spread. The results of path number and rms delay spread measured by dipole antennas and horn antennas are different in LOS case. Compared with the results measured by horn antennas, the path number and rms delay spread value obtained by dipole antennas is bigger in LOS case, where rms delay spread values are 30 ns and 52 ns, respectively. It is reasonable that some multipath information is lost when using horn antenna to measure. In NLOS case, path number and rms delay spread only measured by dipole antennas are given.

This paper reports the measurement and analysis of wideband mdio channel at 1900 MHz within a special propagation environment as the Olympic Stadium of Athens. RMS delay spread values are evaluated as well as the coherence bandwidth of the channel is derived by the frequency correlation function. Mean delay spread was found 0.314 μs and 0.731 μs for LoS and NLoS conditions respectively. The mean coherence bandwidth that characterizes the entire area reaches 3.463 MHz providing wide transmission data rates. Correlation bandwidth is found to be inversely proportional to the RMS delay spread and modeled in a minimum mean square error sense. ©2002 IEEE.

Numerous investigations of mobile radio communication have been conducted in environments such as urban, outdoor-to-indoor or indoor, only a few are in ruins. Within a running project, I-LOV, a study of a mobile radio propagation channel in urban search and rescue scenarios is conducted. Due to complex environment in ruins, great multipath interference can take place, which strongly impacts communication quality and localization accuracy. This paper focuses on the characterization of time dispersion in such scenarios at GSM 900, GSM 1800 and UMTS frequency bands. High resolution measurements have been performed under collapsed buildings and post-processing data analysis were executed. The mean delay and RMS delay spread has been investigated according to power delay profiles. The effect of frequency window function on impulse responses and delay spread is also researched.

This paper considers broadband signal transmission and statistical performance properties of high-voltage/broadband over power lines (HV/BPL) channels associated with overhead power transmission. The overhead HV/BPL transmission channel is investigated with regard to its spectral behavior, its end-to-end signal attenuation, and its statistical performance metrics. It is found that the above features depend critically on the frequency, the overhead HV power grid type (150 kV, 275 kV, or 400 kV and single- or double-circuit), the coupling scheme applied, the physical properties of the cables used, the MTL configuration, and the type of branches existing along the end-to-end BPL signal propagation. The contribution of this paper is threefold. First, the significant broadband transmission potential of overhead HV lines is revealed. The results demonstrate that, regardless of overhead HV power grid type, the overhead HV grid is a potentially excellent communications medium, offering low-loss characteristics, flat-fading features, and low multipath dispersion over a 25 km repeater span well beyond 100 MHz. Second, regarding the statistical properties of various overhead HV/BPL transmission channels, two fundamental correlations of several wireline systems, for example, coaxial cables and xDSL, are also validated in the case of overhead HV/BPL transmission channels, namely, (i) end-to-end channel attenuation in relation with root-mean-square delay spread (RMS-DS) and (ii) coherence bandwidth (CB) in relation with RMS-DS. Third, fitting the numerical results and other field trial measurements, two regression distributions suitable for each fundamental correlation are proposed.

Non-line-of-sight (NLOS) propagation can severely degrade the reliability of communication and localisation accuracy in indoor ultra-wideband (UWB) ‘location-aware’ networks. Link adaptation and NLOS bias mitigation techniques have respectively been proposed to alleviate these effects, but implicitly rely on the ability to accurately distinguish between LOS and NLOS propagation scenarios. A statistical NLOS identification technique based on the hypothesis-testing of received signal parameters in UWB propagation channels is discussed. In contrast to narrowband and wideband signals, UWB signals possess higher temporal resolution and robustness to multipath fading. We show that these characteristics result in differences in the statistics of (a) the time-of-arrival (TOA), (b) the received signal strength (RSS) and (c) the root-mean-squared delay spread (RDS) of the received signals, between LOS and NLOS propagation scenarios, which can be exploited for accurate channel identification. We statistically characterise the ability of TOA, RSS and RDS estimates to distinguish between LOS and NLOS propagation based on an extensive indoor measurement campaign. Our measurement results suggest that the RDS of UWB signals can, even in isolation and without complete statistical information, serve as a robust and computationally efficient indicator of the LOS/NLOS nature of propagation. Finally, we demonstrate the efficacy of the discussed NLOS identification method in a location-tracking application based on indoor UWB measurements.

In future 5G systems, the millimeter wave (mmWave) band will be used to support a large capacity for current mobile broadband. Therefore, the radio access technology (RAT) should be made available for 5G devices to help in distinct situations, for example device-to-device communications (D2D) and multi-hops. This paper presents ultra-wideband channel measurements for millimeter wave bands at 19, 28, and 38 GHz. We used an ultra-wideband channel sounder (1 GHz bandwidth) in an indoor to outdoor (I2O) environment for non-line-of-sight (NLOS) scenarios. In an NLOS environment, there is no direct path (line of sight), and all of the contributed paths are received from different physical objects by refection propagation phenomena. Hence, in this work, a directional horn antenna (high gain) was used at the transmitter, while an omnidirectional antenna was used at the receiver to collect the radio signals from all directions. The path loss and temporal dispersion were examined based on the acquired measurement data—the 5G propagation characteristics. Two different path loss models were used, namely close-in (CI) free space reference distance and alpha-beta-gamma (ABG) models. The time dispersion parameters were provided based on a mean excess delay, a root mean square (RMS) delay spread, and a maximum excess delay. The path loss exponent for this NLOS specific environment was found to be low for all of the proposed frequencies, and the RMS delay spread values were less than 30 ns for all of the measured frequencies, and the average RMS delay spread values were 19.2, 19.3, and 20.3 ns for 19, 28, and 38 GHz frequencies, respectively. Moreover, the mean excess delay values were found also at 26.1, 25.8, and 27.3 ns for 19, 28, and 38 GHz frequencies, respectively. The propagation signal through the NLOS channel at 19, 28, and 38 GHz was strong with a low delay; it is concluded that these bands are reliable for 5G systems in short-range applications.