IMPROVEMENT OF BIT ERROR RATE IN OPTICAL FIBER RECEIVERS

How to reduce the bit error rate of OFDM

How to reduce the bit error rate of OFDM

For this, numerous techniques are proposed to beat the PAPR problem like i) Selective mapping (SLM) ii) Partial transmit sequence (PTS), iii) Clipping, iv) Clipping and filtering. Current technological objectives for OFDM focus primarily on optimizing bit error rate (BER) performance, particularly in high-data-rate applications where transmission reliability directly impacts user experience. However, one amongst the foremost drawbacks of the OFDM system is that the high-peak-to-average power ratio (PAPR) that leads the system to provide in-band distortion and out-of-band radiation and reduces its efficiency. OFDM can be implemented easily, it is spectrally efficient and can provide high data rates with sufficient robustness to channel imperfections. Abstract-In this paper we present an analytical approach to evaluate the bit error rate (BER) of OFDM systems subject to carrier frequency offset (CFO) and channel estimation error in Rayleigh flat fading as well as in time and frequency selective fading channels.

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Passive Fiber Optics and Passive Optical Networks

Passive Fiber Optics and Passive Optical Networks

A passive optical network (PON) is a fiber-optic telecommunications network that uses only unpowered devices to carry signals, as opposed to electronic equipment. In practice, PONs are typically used for the last mile between Internet service providers (ISP) and their customers. A PON takes advantage of (WDM), using one wavelength for downstream traffic and another for upstream traffic on a (ITU-T, typically OS2).

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Hollow-core optical fiber enhances computing power

Hollow-core optical fiber enhances computing power

5 times farther than conventional fibre-optic cables, significantly reducing latency and extending connectivity range from 60 kilometers (37 miles) up to 90 kilometers (56 miles). Innovative fibre-optic technology expands geographic possibilities, enhances speed, and unlocks sustainable energy sources for global data infrastructure. As data centres face increasing pressure to support AI-driven data processing, the demand for electric power has emerged as a significant. This revolution is profoundly impacting the physical realities of data centers, pushing the boundaries of how much power, cooling and interconnect bandwidth is required. However, glass imposes a fundamental physical limitation because light travels through it approximately 30 percent slower than through air.

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