Abstract
In modern wireless communication to maximize spectral efficiency and to minimize the bit error rate OFDM (Orthogonal frequency-domain multiplexing) is used. OFDM is used broadly in networks using various protocols, including wireless vehicular environment IEEE 802.11p, IEEE 802.16d/e Wireless Metropolitan Area Networks, Long-Term Evolution 3GPP networks and IEEE 802.11a/g/n Wireless Local Area Networks. The main challenges involved when using OFDM for wireless communications are short channel-coherence bandwidth and the narrow coherence time, and both have a major effect on the reliability and latency of data packet communication. These properties increase the difficulty of channel equalization because the channel may change drastically over the period of a single packet. Spectral Temporal Averaging is an enhanced decision-directed channel equalization technique that improves communication performance (as far as the frame delivery ratio (FDR) and throughput) in typical channel conditions. This paper reports tests of Spectral Temporal Averaging channel equalization in an IEEE 802.11a network, compared with other channel equalization techniques in terms of the FDR in a real-time environment. Herein, a software defined Radio (SDR) platform was used for estimating the channel. This proves that the system can provide over 90% of delivery ratio at 25 db of Signal to Noise Ratio (SNR) for various digital modulation techniques. For this purpose, an experimental setup consisting of software-defined radio, Universal Software Radio Peripheral (USRP) N210 along with wide bandwidth daughter board as hardware and GNU radio is used.
Highlights
The latest developments in wireless communications like phones, protocols and applications are impressive
Data must be used to update the estimates of the channel because preamble-based standards do not sufficiently provide pilotsignal feedback
This paper reports tests of channelestimation techniques in a real-time environment that measured the Frame Delivery Ratio (FDR) and proved that the system can provide over 90% of delivery ratio at 25 db of Signal to Noise Ratio (SNR) for different digital modulation techniques using Spectral Temporal Averaging (STA)
Summary
The latest developments in wireless communications like phones, protocols and applications are impressive. When the number of users with common Mobile Bandwidths expands, traffic congestion will be a harder task, and increased flexibility in the requirements of transmission will be required if multiple access contention is to be handled Such problems are often faced by wireless communication protocols. A widely used modulation technique by means of which the flow of symbol is split in several narrowband subcarriers which are modulated progressively, and which have very close connections for high data transmission rates is OFDM. This method eliminates the frequency-selective loss signal. The decoder process is utilized to gain information on the channel state Information (CSI) and to account for channel effects such as delay spread and lower Doppler distribution and this process makes the OFDM system reliable
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