I. INTRODUCTION

II. DATA-DRIVEN WIRELESS COMMUNICATION: MOTIVATION WITH UNIQUE FEATURES

III. BACKGROUND OF GAUSSIAN PROCESS FOR MACHINE LEARNING

IV. ADVANCES IN GP KERNELS

V. SCALABLE DISTRIBUTED GAUSSIAN PROCESS

VII. GP BASED WIRELESS APPLICATIONS

VIII. GP FOR FUTURE WIRELESS COMMUNICATION

IX. CONCLUSION