JOURNAL ARTICLE

Coexistence challenges for heterogeneous cognitive wireless networks in TV white spaces

Chittabrata GhoshSumit RoyDave Cavalcanti

Year: 2011 Journal:   IEEE Wireless Communications Vol: 18 (4)Pages: 22-31   Publisher: Institute of Electrical and Electronics Engineers

Abstract

In order to improve utilization of TV spectrum, regulatory bodies around the world have been developing rules to allow operation by unlicensed users in these bands provided that interference to incumbent broadcasters is avoided. Thus, new services may opportunistically use temporarily unoccupied TV channels, known as television white space. This has motivated several standardization efforts such as IEEE 802.22, 802.11af, 802.19 TG1, and ECMA 392 to further cognitive networking. Specifically, multiple collocated secondary networks are expected to use TVWS, each with distinct requirements (bandwidth, transmission power, different system architectures, and device types) that must all comply with regulatory requirements to protect incumbents. Heterogeneous coexistence in the TVWS is thus expected to be an important research challenge. This article introduces the current regulatory scenario, emerging standards for cognitive wireless networks targeting the TVWS, and discusses possible coexistence scenarios and associated challenges. Furthermore, the article casts an eye on future considerations for these upcoming standards in support of spectrum sharing opportunities as a function of network architecture evolution.

Keywords:
White spaces Computer science Cognitive radio Computer network Telecommunications Standardization Bandwidth (computing) Wireless Cognitive network Wireless network Software deployment Transmission (telecommunications)

Metrics

147
Cited By
18.71
FWCI (Field Weighted Citation Impact)
18
Refs
0.99
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Cognitive Radio Networks and Spectrum Sensing
Physical Sciences →  Computer Science →  Computer Networks and Communications
Advanced MIMO Systems Optimization
Physical Sciences →  Engineering →  Electrical and Electronic Engineering
Cooperative Communication and Network Coding
Physical Sciences →  Computer Science →  Computer Networks and Communications

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