Modeling of radio link budget with beamforming antennas for evaluation of 5G systems

Bechta, Kamil; Rybakowski, Marcin; Hsieh, F.; Chizhik, Dmitry

doi:10.1109/5gwf.2018.8516969

Cited by 9 publications

(5 citation statements)

References 2 publications

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“…Before we calculate the SINR value of the UEs in simulation we determine the received power of each UE according to following link budget equation 46,47 :…”

Section: Power Allocationmentioning

confidence: 99%

“…Before we calculate the SINR value of the UEs in simulation we determine the received power of each UE according to following link budget equation 46,47 :

{normalP}_{normalRX} = {normalP}_{normalTX} + {normalG}_{normalTX} - {normalL}_{normalTX} - {normalL}_{normalPS} - {normalL}_{normalM} + {normalG}_{normalRX} - {normalL}_{normalRX}

where P RX is received power (dBm), P TX is transmitter output power (dBm), G TX is transmitter antenna gain (dBi), L TX is transmitter losses (coax, connectors.) (dB), L PS is path loss (dB), L M is miscellaneous losses (fading margin, body loss, other losses.)…”

Section: System Modelmentioning

confidence: 99%

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Dynamic resource allocation and interference coordination for millimeter wave communications in dense urban environment

Yağcıoğlu¹

2022

Trans Emerging Tel Tech

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Inter cell interference coordination (ICIC) strategies in cellular systems have vital importance for spectrum efficiency in dense urban networks. Frequency reuse and resource allocation approaches are used to overcome the interference and the efficiency problems. Users in the cell edge suffer from low throughput and signal to interference plus noise ratio. Although increasing the transmit power of the BS can be considered as a solution, it also causes ICI. Considering these difficulties, we propose a technique called Experience Based Dynamic Soft Frequency Reuse in the 5G millimeter-wave (mmWave) at 28 GHz band.The first objective of the proposed technique is to minimize the inter cell interference by using Soft Frequency Reuse method. The technique also aims to increase the overall system throughput by using Dynamic Channel Allocation.The third objective is to progress a fairness scheduler algorithm among users by optimizing the base station schedulers, which we call Experience-Based Packet Scheduler. The main purpose of this article is to find the best value for α in order to maximize the average user and cell edge user throughput while considering the users' fairness. Simulations and numerical results show that the proposed algorithm can achieve up to 30% higher performance in terms of the average user throughput rates and has better fairness for lower α values (0.3 and 0.4).

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“…Before we calculate the SINR value of the UEs in simulation we determine the received power of each UE according to following link budget equation 46,47 :…”

Section: Power Allocationmentioning

confidence: 99%

“…Before we calculate the SINR value of the UEs in simulation we determine the received power of each UE according to following link budget equation 46,47 :

{normalP}_{normalRX} = {normalP}_{normalTX} + {normalG}_{normalTX} - {normalL}_{normalTX} - {normalL}_{normalPS} - {normalL}_{normalM} + {normalG}_{normalRX} - {normalL}_{normalRX}

Section: System Modelmentioning

confidence: 99%

Dynamic resource allocation and interference coordination for millimeter wave communications in dense urban environment

Yağcıoğlu¹

2022

Trans Emerging Tel Tech

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“…By using empirical models and theoretical equations and putting them together with configuration tables and load values, the whole network can be simulated [16]. Link budget calculations are implemented in dimensioning stage in the planning process; it involves a sequential step of calculations that have different needs like antenna radiation pattern, simulation capacity requirements, and coverage requirements [17]. Dimensioning process output is the estimated eNB numbers which satisfy the capacity/coverage requirements.…”

Section: Planning Parametersmentioning

confidence: 99%

LTE network performance evaluation based on effects of various parameters on the cell range and MAPL

Daghal

Al-Hilfi²

2021

IJEECS

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These days long term evaluation (LTE) is considered the common mobile technology around the world and there is a need to maximize the network performance to satisfy the increased demand in terms of the cell capacity and coverage. These are many parameters in the network configuration and in the surrounded environment, which have great effects on the network performance. Examples of parameters are the system overhead rations, the required capacity of the network, neighbor cell load, and link budget parameters. The determination of the optimum configuration parameters, which achieve the best network performance, is a main step in the planning process in addition to it is continuous step in network optimization phase. In this study, the effects of some parameters will be investigating to get the best parameters that achieve the best network performance in terms of capacity of the cells and coverage area. The study will start by discussing introduction about LTE network components and protocols, and then the main parameters of the protocols will be revising. The study will display the results of changing many parameters related to LTE protocols and surrounding environment parameters on the LTE network performance.

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“…System level simulations of mobile networks in [20] have demonstrated up to 40% deviation from realistic value of Long Term Evolution (LTE) downlink throughput when nominal antenna pattern is assumed instead of effective antenna pattern. Study for 5G scenario with analog beamforming in mm-Wave range was presented in [21] where the radio link budget for serving link and interfering links were evaluated for both nominal and effective antenna gains. The impact of 3GPP 3D channel models on effective antenna array patterns has been visualized in [22] and it was found that the downlink Signal to Interference and Noise Ratio (SINR) can be overestimated by 10 to 17 dB in NLOS scenario when using nominal beam pattern rather than effective pattern.…”

Section: B Related Workmentioning

confidence: 99%

Matching in the Air: Optimal Analog Beamforming under Angular Spread

Du¹,

Rybakowski²,

Bechta³

et al. 2019

Preprint

Self Cite

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Gbps wireless transmission over long distance at high frequency bands has great potential for 5G and beyond, as long as high beamforming gain could be delivered at affordable cost to combat the severe path loss. With limited number of RF chains, the effective beamwidth of a high gain antenna will be "widened" by channel angular spread, resulting in gain reduction. In this paper, we formulate the analog beamforming as a constrained optimization problem and present closed form solution that maximizes the effective beamforming gain. The optimal beam pattern of antenna array turns out to "match" the channel angular spread, and the effectiveness of the theoretical results has been verified by numerical evaluation via exhaustive search and system level simulation using 3D channel models. Furthermore, we propose an efficient angular spread estimation method using as few as three power measurements and validate its accuracy by lab measurements using a 16×16 phased array at 28 GHz. The capability of estimating angular spread and matching the beam pattern on the fly enables high effective gain using low cost analog/hybrid beamforming implementation, and we demonstrate a few examples where substantial gain can be achieved through array geometry optimization.

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Modeling of radio link budget with beamforming antennas for evaluation of 5G systems

Cited by 9 publications

References 2 publications

Dynamic resource allocation and interference coordination for millimeter wave communications in dense urban environment

Dynamic resource allocation and interference coordination for millimeter wave communications in dense urban environment

LTE network performance evaluation based on effects of various parameters on the cell range and MAPL

Matching in the Air: Optimal Analog Beamforming under Angular Spread

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