Television White Space Spectrum Research Articles

A New Bargaining Game-Based Unlicensed Spectrum Sharing Scheme for TVWS Platform

The rapid boosting in the Internet-of-Things (IoT) paradigm and the scarcity of available spectrum resources have hindered the improvement of capacity in 5G wireless network systems. Therefore, it is necessary to discover an appropriate spectrum sharing technology by exploiting unlicensed spectrum bands. In this study, we design a new unlicensed spectrum sharing algorithm in the television white space (TVWS) platform. According to the cooperative bargaining game theory, our proposed algorithm explores the mutual benefits to achieve a reciprocal consensus for different data application services. In a sequentially iterative manner, our game based approach adaptively makes control decisions for the TVWS spectrum sharing problem. Based on the novel bargaining solution and well-known rationing rules, we compromise the conflicting views of IoT devices while leveraging a cooperative agreement for their services. Finally, numerical simulation results show that our proposed algorithm provides a very effective tradeoff between the spectrum efficiency and service fairness compared with the existing TVWS spectrum sharing protocols.

SMART: Coordinated Double-Sided Seal Bid Multiunit First Price Auction Mechanism for Cloud-Based TVWS Secondary Spectrum Market

Spectrum trading is an important aspect of television white space (TVWS) and it is driven by the failure of spectrum sensing techniques. In spectrum trading, the primary users lease their unoccupied spectrum to the secondary users for a market fee. Although spectrum trading is considered as a reliable approach, it is confronted with a spectrum transaction completion time problem, which negatively impacts on end-users Quality of Service and Quality of Experience metrics. Spectrum transaction completion time is the duration to successfully conduct TVWS spectrum trading. To address this issue, this paper proposes simple mechanism auction reward truthful (SMART), a fast and iterative machine learning-assisted spectrum trading model to address this issue. Simulated results indicate that SMART out-performs referenced VERUM algorithm in three key performance indicators: bit-error rate, instantaneous throughput, and probability of dropped packets by 10%, 5%, and 15%, respectively.

Reduced size of slotted‐fractal Koch log‐periodic antenna for 802.11af TVWS application

ABSTRACTA reduced size of log‐periodic fractal Koch antenna (LPFKA) design with rectangular slots for Television White Space Spectrum (TVWS) bands application is proposed in this letter. The new introduced design technique of tilted rectangular slots into the fractal Koch radiating elements found out to enhance the impedance bandwidth as well as realizing high gain and reducing the size of log‐periodic antenna. The 10 LPFKA's radiating elements are located on both sides of the substrate in a crisscross arrangement and obtained 15.3% miniaturization as well as 50.79% bandwidth and maximum of 36% gain increment. The proposed antenna has a largest dimension of 305 × 280 mm2, that is 0.44λ × 0.48λ over the lowest operating frequency of the 0.47–0.79 GHz TVWS bands. This antenna exhibits high gains of between 4.41 and 7.2 dBi and stable radiation patterns throughout the required UHF TVWS bands. © 2015 Wiley Periodicals, Inc. Microwave Opt Technol Lett 57:2732–2737, 2015