JOURNAL ARTICLE

Real-time white spectrum recognition for cognitive radio networks over TV white spaces

Myeongyu KimYouchan JeonHaesoo KimTae-Kook KimJinwoo Park

Year: 2014 Journal:   Journal of Communications and Networks Vol: 16 (2)Pages: 238-244   Publisher: Institute of Electrical and Electronics Engineers

Abstract

A key technical challenge in TV white spaces is the efficient spectrum usage without interfering with primary users. This paper considers available spectrum discovery scheme using in-band sensing signal to support super Wi-Fi services effectively. The proposed scheme in this paper adopts non-contiguous orthogonal frequency-division multiplexing (NC-OFDM) to utilize the fragmented channel in TV white space due to microphones while this channel cannot be used in IEEE 802.11af. The proposed solution is a novel available spectrum discovery scheme by exploiting the advantages of a sensing signaling. The proposed method achieves considerable improvement in throughput and delay time. The proposed method can use more subcarriers for transmission by applying NC-OFDM in contrast with the conventional IEEE 802.11af standard. Moreover, the increased number of wireless microphones (WMs) hardly affects the throughput of the proposed method because our proposal only excludes some subcarriers used by WMs. Additionally, the proposed method can cut discovery time down to under 10 ms because it can find available channels in real time by exchanging sensing signal without interference to the WM.

Keywords:
White spaces Computer science Cognitive radio Orthogonal frequency-division multiplexing Throughput Interference (communication) Transmission (telecommunications) Channel (broadcasting) Key (lock) Wireless Computer network Telecommunications Real-time computing

Metrics

3
Cited By
0.95
FWCI (Field Weighted Citation Impact)
20
Refs
0.76
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Advanced Adaptive Filtering Techniques
Physical Sciences →  Engineering →  Computational Mechanics
Cognitive Radio Networks and Spectrum Sensing
Physical Sciences →  Computer Science →  Computer Networks and Communications
Power Line Communications and Noise
Physical Sciences →  Engineering →  Electrical and Electronic Engineering
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