Indoor Localization Under Limited Measurements: A Cross-Environment Joint Semi-Supervised and Transfer Learning Approach

DNN-Based Indoor Localization Under Limited Dataset Using GANs and Semi-Supervised Learning

“…The proposed weighted data augmentation process leads to a localization improvement of 17.31% using the UJIndoorLoc database. In future work, we will explore the transfer learning technique to overcome the challenge of collecting costly measurements [45]. Therefore, we will transfer a model obtained from a rich-data environment to a poor-data environment which limited measurements.…”

“…However, they are data hungry requiring large labeled training databases. To overcome this problem, recent approaches have been developed based on semi-supervised learning, which leverages a small number of expensive labeled data combined with a large amount of inexpensive unlabeled data to ensure an improvement and a refinement of a totally supervised solution without an additional expensive labeled data collection cost [13], [14]. Pseudo-labels are predicted and associated to unlabeled data in order to provide additional training information and enlarge the training dataset.…”

IRS for Multi-Access Edge Computing in 6G Networks

“…The last three decades have witnessed an exponential growth and tremendous developments in wireless technologies and techniques, and their associated applications. These include indoor localization techniques and related aspects [1][2][3][4][5][6][7][8][9][10][11][12][13][14][15][16][17], terahertz communications and signal processing applications [18][19][20][21][22][23][24][25][26][27][28][29][30][31][32][33][34][35][36], and antenna design and propagation characteristics .…”

Intelligent Reflecting Surfaces for Multi-Access Edge Computing in 6G Wireless Networks

“…Wireless technologies and methods, as well as their related applications, have seen exponential growth and significant advancement during the preceding thirty years. Transmitter design and transmission features [1][2][3][4][5][6][7][8][9][10][11][12][13][14][15][16][17][18], Thz connectivity and signal conditioning capabilities [19][20][21][22][23][24][25][26][27][28][29][30][31], and indoor navigation techniques and associated issues [32][33][34][35][36][37][38][39][40][41][42][43][44][45][46][47][48][49][50] are among them.…”

“…Over the past thirty years, wireless discoveries and methodologies, along with their prospective applications, have seen exponential progress and improvement. They include transmitter design as well as broadcast properties [1][2][3][4][5][6][7][8][9][10][11][12][13][14][15][16][17][18], THz interfacing and signal enhancement properties [19][20][21][22][23][24][25][26][27][28][29][30][31], as well as interior location strategies and problems [32][33][34][35][36][37][38][39][40][41][42][43][44][45][46][47][48][49][50].…”