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Spectrum prediction, as one enabling technique for dynamic spectrum access (DSA), has recently been received ever-increasing research attention. Most related studies (explicitly or implicitly) assume that spectrum prediction is useful for DSA. However, it does't fundamentally clear when spectrum prediction is really beneficial. To address this issue, this paper firstly provides a high-level review...
Spectrum data, which is usually characterized by many dimensions, such as location, frequency, time and signal strength, presents formidable challenges in terms of acquisition, processing and visualization. In practice, a portion of spectrum data entries may be unavailable due to the interference during the acquisition process or the compression during the sensing process. However, the completion...
To meet the ever-growing demand for a higher communicating rate and better communication quality, more and more small cells are overlaid under the macro base station (MBS) tier, thus forming the heterogeneous networks. Small cells can ease the load pressure of MBS but lack of the guarantee of performance. On the other hand, cooperation draws more and more attention because of the great potential of...
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