Dynamic spectrum access in terrestrial TV band: assessment of prospects in Kenya

Kryszkiewicz, Paweł; Kokkinen, Heikki; Ojaniemi, Jaakko; Sonoiya, Dennis

doi:10.1007/s11235-021-00772-3

Cited by 3 publications

(6 citation statements)

References 8 publications

(9 reference statements)

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“…Thus, no consideration was made for clutter, that may be encountered along the path of TV signals [11]. Kryszkiewicz et al [12], implemented a GDB, using the DS Alliance framework to protect the DTT in Kenya. Their work examined, in detail, the performance of the database in detecting available spectral space and provided suggestions for improving the computational complexity of the framework.…”

Section: )mentioning

confidence: 99%

“…Their work examined, in detail, the performance of the database in detecting available spectral space and provided suggestions for improving the computational complexity of the framework. This paper employs the same framework as [12], for estimating spectrum availability in ATT and DTT channels, and also, the protection of DTT signals in Nigeria. The current study differs from [12] ] in terms of objectives and approach, as it provides details on creating a database for a local network and evaluates its performance.…”

Section: )mentioning

confidence: 99%

“…This paper employs the same framework as [12], for estimating spectrum availability in ATT and DTT channels, and also, the protection of DTT signals in Nigeria. The current study differs from [12] ] in terms of objectives and approach, as it provides details on creating a database for a local network and evaluates its performance.…”

Section: )mentioning

confidence: 99%

“…The computation, summarized in Figure 3, was carried out for Y pixels, 'i' channels, and 'j' adjacent channels, and the least WSD power limit was adopted (Equations 4.16 and 4.17 in [19]). Despite the drawbacks of the method used in this study, as highlighted in [12], concerning PU protection, it provides a framework for safe co-channel sharing amongst SUs. Computations, in this work, were carried out in MATLAB and Python environments.…”

Section: B Wsd Power Estimatementioning

confidence: 99%

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An Interference Management System for a Shared Spectrum Access Network

Atimati

Crawford

Stewart

et al. 2022

2022 IEEE Nigeria 4th International Conference on Disruptive Technologies for Sustainable Development (NIGERCON)

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Internet access, in developing and underdeveloped countries, remains a huge challenge despite advancements in technology. Shared resources, amongst telecommunication systems, offer an affordability context to this problem. A shared spectrum interference management system is implemented by designing a geolocation database, for a television white space network, for a location in Nigeria. This is achieved using the Dynamic Spectrum Alliance framework (a rarely used methodology) and robust terrain-based propagation models. The designed spectrum coexistence manager (geolocation database) was created, presented, and evaluated, based on its channel availability, predictions, and ability to protect very weak TV signals. The result showed a 15% channel utilization of Analogue and Digital Terrestrial Television channels within the study area. Finally, key components of the framework, that can be adopted for further studies, were identified.

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Section: )mentioning

confidence: 99%

Section: )mentioning

confidence: 99%

Section: )mentioning

confidence: 99%

Section: B Wsd Power Estimatementioning

confidence: 99%

See 2 more Smart Citations

An Interference Management System for a Shared Spectrum Access Network

Atimati

Crawford

Stewart

et al. 2022

2022 IEEE Nigeria 4th International Conference on Disruptive Technologies for Sustainable Development (NIGERCON)

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“…Within this VDSA framework, vehicles will be assigned as secondary users when accessing these licensed bands. Over the past decade, the FCC and other federal spectrum regulators around the world have opened up selected frequency bands for secondary access, such as Digital Television (DTV) spectrum, known as TV White Spaces (TVWS) [5], [6]. In general, potentially other frequency bands can also be used for dynamic spectrum access.…”

Section: Introductionmentioning

confidence: 99%

Memory Enabled Bumblebee-Based Dynamic Spectrum Access for Platooning Environments

Gill

Kryszkiewicz

Sroka

et al. 2023

IEEE Trans. Veh. Technol.

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In this paper, we propose a novel memory-enabled non-uniform sampling-based bumblebee foraging algorithm (MEB) designed for optimal channel selection in a distributed Vehicular Dynamic Spectrum Access (VDSA) framework employed in a platoon operating environment. Given how bumblebee behavioral models are designed to support adaptation in complex and highly time-varying environments, these models can be employed by connected vehicles to enable their operation within a dynamically changing network topology and support their selection of optimal channels possessing low levels of congestion to achieve high throughput. As a result, the proposed VDSAbased optimal channel selection employs fundamental concepts from the bumblebee foraging model. In the proposed approach, the Channel Busy Ratio (CBR) of all channels is computed and stored in memory to be accessed by the MEB algorithm to make the necessary channel switching decisions. Two averaging techniques, Sliding Window Average (SWA) and Exponentially Weighted Moving Average (EWMA), are employed to leverage past samples and are evaluated against the no-memory case. Due to the high variability of the environment (e.g., high velocities, changing density of vehicles on the road), we propose to calculate the CBR by employing non-uniform channel sampling allocations as well as evaluate it using both simplified numerical and realistic Vehicle-to-Vehicle (V2V) computer simulations. The numerical simulation results show that gains in the probability of the best channel selection can be achieved relative to a uniform sampling allocation approach. By utilizing memory, we observe an additional increase in the channel selection performance. Similarly, we see an increase in the probability of successful reception when utilizing the bumblebee algorithm via a systemlevel simulator.

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