“…Other state of the art coexistence techniques utilize e.g. spectrum scanning for dynamic frequency allocations or utilize continuous frequency hopping to solve the interference problem [37] [38] [39] [40] [41]. The latter only offers limited opportunities for hopping due to the severe limitations in available spectrum (e.g., 5 MHz available bandwidth in the 868 MHz band in Europe).…”
Section: Challenges To Identify and Correctly Classify The Presence Omentioning
Abstract. The IoT domain is characterized by many applications that require lowbandwidth communications over a long range, at a low cost and at low power. LPWANs (Low Power Wide Area Networks) fulfill these requirements by using sub-GHz radio frequencies (typically 433 or 868 MHz) with typical transmission ranges in the order of 1 up to 50 kilometers. As a result, a single base station can cover large areas and can support high numbers of connected devices (> 1000 per base station). Notorious initiatives in this domain are LoRa, Sigfox and the upcoming IEEE 802.11ah (or "HaLow") standard. Although these new technologies have the potential to significantly impact many IoT deployments, the current market is very fragmented and many challenges exists related to deployment, scalability, management and coexistence aspects, making adoption of these technologies difficult for many companies. To remedy this, this paper proposes a conceptual framework to improve the performance of LPWAN networks through in-network optimization, cross-technology coexistence and cooperation and virtualization of management functions. In addition, the paper gives an overview of state of the art solutions and identifies open challenges for each of these aspects.
“…Other state of the art coexistence techniques utilize e.g. spectrum scanning for dynamic frequency allocations or utilize continuous frequency hopping to solve the interference problem [37] [38] [39] [40] [41]. The latter only offers limited opportunities for hopping due to the severe limitations in available spectrum (e.g., 5 MHz available bandwidth in the 868 MHz band in Europe).…”
Section: Challenges To Identify and Correctly Classify The Presence Omentioning
Abstract. The IoT domain is characterized by many applications that require lowbandwidth communications over a long range, at a low cost and at low power. LPWANs (Low Power Wide Area Networks) fulfill these requirements by using sub-GHz radio frequencies (typically 433 or 868 MHz) with typical transmission ranges in the order of 1 up to 50 kilometers. As a result, a single base station can cover large areas and can support high numbers of connected devices (> 1000 per base station). Notorious initiatives in this domain are LoRa, Sigfox and the upcoming IEEE 802.11ah (or "HaLow") standard. Although these new technologies have the potential to significantly impact many IoT deployments, the current market is very fragmented and many challenges exists related to deployment, scalability, management and coexistence aspects, making adoption of these technologies difficult for many companies. To remedy this, this paper proposes a conceptual framework to improve the performance of LPWAN networks through in-network optimization, cross-technology coexistence and cooperation and virtualization of management functions. In addition, the paper gives an overview of state of the art solutions and identifies open challenges for each of these aspects.
“…In [7], the authors propose a framework for detecting the presence of different wireless technologies in the vicinity of an [10] for saturated traffic conditions and in [11].…”
The problem of coexistence among wireless net works, especially dissimilar ones competing for partially over lapping unlicensed bands, is becoming a hot topic. This is also confirmed by the mushrooming of mechanisms and working groups (within the International Bodies) addressing the issue.But prior to drawing any solution, an extensive theoretical analysis of the coexistence phenomena among any MAC is needed. This paper presents COMB, a tool aimed at simulating the coexistence among heterogeneous and competing wireless networks, leveraging the well-known NS-2 simulator.
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