Path loss prediction formula for microcell in 400 MHz to 8 GHz band

Kitao, Koshiro; Ichitsubo, S.

doi:10.1049/el:20040475

Cited by 24 publications

(8 citation statements)

References 3 publications

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“…It must be noted that the path loss model, used for our system model in this thesis has been experimentally validated for a variety of microcellulr environments and for both UHF and SHF band [72,83,84].…”

Section: System Model For Los Propagation Environmentmentioning

confidence: 99%

“…Notice that power transmitted from a transmitting antenna is for now only affected by path loss and it is represented by P t . It must be noted that the channel model presented in this work has been experimentally validated for a smaller cell size radius environment, and for both UHF, and super high frequency (SHF) band [72,83,84]. The received signal P r is mathematically represented as:…”

Section: Multiple Tier Interference General System Modelmentioning

confidence: 99%

See 1 more Smart Citation

Minimum Cell Size for Information Capacity Increase in Cellular Wireless Network

Anang

Rpajic

Eneh

et al. 2011

2011 IEEE 73rd Vehicular Technology Conference (VTC Spring)

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Section: System Model For Los Propagation Environmentmentioning

confidence: 99%

Section: Multiple Tier Interference General System Modelmentioning

confidence: 99%

Minimum Cell Size for Information Capacity Increase in Cellular Wireless Network

Anang

Rpajic

Eneh

et al. 2011

2011 IEEE 73rd Vehicular Technology Conference (VTC Spring)

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“…In our scenario the antenna heights of the primary transmitter and receiver are 30 and 5 m, respectively. The propagation path loss coefficient between the cognitive transmitter and receivers (antenna height is fixed to 2 m for both) is 3.5 [10]. Rayleigh fading environment is assumed and the angular spread ranges from 0 • to 360 • [9].…”

Section: Simulation Conditionsmentioning

confidence: 99%

Cognitive Mesh Network Under Interference from Primary User

Taranto

Yomo

Popovski

et al. 2008

Wireless Pers Commun

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In a commonly accepted usage scenario, a cognitive radio appears as a secondary user of certain spectrum which is licensed to another, primary system. A prominent example of cognitive system is a mesh network operating under the interference from primary system. For such a scenario, we propose techniques for efficient secondary usage of spectrum, which rely on the adaptive array antenna in order to reduce the interference between the primary and the cognitive system. In order to keep the hardware complexity as small as possible, the number of antennas at each cognitive node should be small. However, with the simplest 2-element linear adaptive array, the created antenna pattern can result in non-optimized pattern between cognitive nodes in the mesh network. In order to solve such a problem, this paper introduces a simple antenna pattern switching where each cognitive node is equipped with three antennas, and tries to select the antenna configuration constituting 2-element linear array with the best antenna pattern for each link. The proposed configuration requires three antennas but only two transceiver chains, which can reduce the hardware complexity. We also introduce 3-element linear array and design a simple procedure to heuristically select the pattern. Our numerical results show that the proposed techniques can significantly increase the available bandwidth and networking connectivity with small complexity when a cognitive mesh network is located inside the communication area of the primary system.

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“…At higher frequencies radio propagation are exposed to non-line-of-sight (non-LOS) condition, which is the typical mode of operation in today's urban cellular communications [9]. Therefore, at higher frequencies and smaller cell radii (ranging, few hundred meters to a kilometer) base station (BS) antennas are below rooftops of surrounding buildings and the radio link between the transmitter and the receiver is in the line of sight (LOS) [10]. Thus, making the characterization of propagation in microcells different from that in traditional cells (macrocells) [11].…”

Section: Introductionmentioning

confidence: 99%

SENSITIVITY OF CELLULAR WIRELESS NETWORK PERFORMANCE TO SYSTEM & PROPAGATION PARAMETERS AT CARRIER FREQUENCIES GREATER THAN 2 GHz

Anang

Rapajic²,

Bello³

et al. 2012

PIER B

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Abstract-In this paper, mathematical analysis supported by computer simulation is used to investigate the impact of both system and propagation loss parameters on the performance of cellular wireless network operating at microwave carrier frequencies greater than 2 GHz, where multiple tier of co-channel interfering cells are considered to be active. The two-slope path loss model and the uplink information capacity of the cellular network is used for the performance analysis. Results show that for carrier frequencies greater than 2 GHz and smaller cell radius multiple tier of co-channel interfering cells become active as compared to carrier frequencies lesser than 2 GHz. The multiple tier of co-channel interfering cells, leads to a decrease in the information capacity of the cellular wireless network. The results also show that the system performance is sensitive to most of the propagation model parameters such as the basic and extra path loss exponent.

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Path loss prediction formula for microcell in 400 MHz to 8 GHz band

Cited by 24 publications

References 3 publications

Minimum Cell Size for Information Capacity Increase in Cellular Wireless Network

Minimum Cell Size for Information Capacity Increase in Cellular Wireless Network

Cognitive Mesh Network Under Interference from Primary User

SENSITIVITY OF CELLULAR WIRELESS NETWORK PERFORMANCE TO SYSTEM & PROPAGATION PARAMETERS AT CARRIER FREQUENCIES GREATER THAN 2 GHz

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