Antenna Allocation Scheme Over Massive MIMO Cellular Networks

碩士 === 元智大學 === 電機工程學系 === 105 === Massive MIMO is a promising next-generation wireless access technology. By flexibly assigning different numbers of antennas among connections, the transmission rate can be adjusted according to user requirement and channel conditions. However, providing layer-encod...

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Bibliographic Details
Main Authors: Ying-Hsueh Lu, 呂映萱
Other Authors: Wen-Hsing Kuo
Format: Others
Language:zh-TW
Published: 2017
Online Access:http://ndltd.ncl.edu.tw/handle/22650125035707067828
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Summary:碩士 === 元智大學 === 電機工程學系 === 105 === Massive MIMO is a promising next-generation wireless access technology. By flexibly assigning different numbers of antennas among connections, the transmission rate can be adjusted according to user requirement and channel conditions. However, providing layer-encoded scalable-video-encoded (SVC) multimedia streams with such a technology is challenging because this cross-layer issue involves each user’s allocated antennas as well as the assigned layers. In this thesis, we propose a cross-layer scheme called Utility-Based Layer and Antenna Allocation (UB-LAA). Given each base station’s available antennas and each user’s channel conditions as well as their subscribed SVC stream, UB-LAA decides each layer’s serving base station and transmitting antennas to maximize the system’s total utility. Through analysis, we prove that this allocation problem is NP-complete, and our polynomial-time heuristic provides a bounded performance difference to the optimum solution. Simulation results indicated that, under various circumstances, UB-LAA flexibly allocates resources to reflect user requirements and channel conditions, and has a performance that is approximate to the optimal solution.