Abstract
In this paper, we investigate the coexistence of cognitive radio networks on TV white spaces for rural and suburban connectivity. Although experimental models and laboratory measurements defined the maximum interference threshold for TV white space technologies for general use cases, our research found that in real wireless rural and suburban scenarios, severe interference to the broadcasting services might occur. This is particularly relevant when the traffic load of the telecom base stations (BSs) exceeds 80% of their maximum capacity. We propose a dynamic management algorithm for minimizing the interference, based on a centralized access control architecture for cognitive radio wireless networks. In an experimental emulation for assessing the impact of cognitive radio interference on the broadcasting service’s QoE, our method reduced the perceived video distortion by the broadcasting users by at least 50% and 27.5% in a rural and suburban scenario, respectively, while the spectrum usage is increased by just 8%.
Highlights
The development of more efficient modulation schemes and forward error correction codes has allowed reducing the gap to the theoretical Shannon capacity limit
We considered two typical scenarios for modelling the interference between the broadcasting and Long-Term Evolution (LTE)-A network operating on TV white spaces (TVWS)
The interference signal level (ISL) of the broadcasting DVB-T2 signal is approximately 1.1 dB higher. This difference is due to the fact that in the rural scenario with a lower traffic per square kilometer, more spectrum can be reused despite the fact that a better propagation might increase the interference from the surrounding broadcasting towers
Summary
The development of more efficient modulation schemes and forward error correction codes has allowed reducing the gap to the theoretical Shannon capacity limit. The modulation and coding schemes (MCS) developed for ATSC 3.0 digital television standard are 1.3 dB to 1.8 dB from the Shannon limit [2]. This improvement leads to a higher broadcasting spectral efficiency. Several spectrum surveys demonstrate that the spatial and temporal use of the sub 3 GHz spectrum is less than 20% [5, 6, 7, 8]. This is a direct consequence of the inefficient allocation and assignment of the spectrum. Nowadays, the main problem is not related to technology efficiency itself but how to use it efficiently
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