Abstract
The conventional direction of arrival (DOA) estimation algorithm is not effective with the tremendous complexity due to the large-scale array antennas in a massive multiple-input multiple-output (MIMO) system. A new frame structure for downlink transmission is presented. Then, codebook-aided (C-aided) algorithms are proposed based on this frame structure that can fully exploit the priori information under channel codebook feedback mechanism. An oriented angle range is scoped through the codebook feedback, which is drastically beneficial to reduce computational burden for DOA estimation in massive MIMO systemss. Compared with traditional DOA estimation algorithms, our proposed C-aided algorithms are computationally efficient and meet the demand of future green communication. Simulations show the estimation effectiveness of C-aided algorithms and advantage for decrement of computational cost.
Highlights
Massive multiple-input multiple-output (MIMO) is emerging as a promising technology with large-scale antennas in base station (BS) for future fifth generation wireless communication [1,2,3,4,5,6].To meet the diverse type of access with different Quality of Service, such as high data rate application or vehicle to everything with ultra low lantency, antenna collaboration and power control of massiveMIMO system are inevitable, which are guarantee green communication [1,2,3]
For Frequency Division Duplex (FDD) massive MIMO systems, the cost of conventional channel estimation schemes requiring orthogonal pilots are prohibitively high; codebook channel feedback mechanism is indispensable in massive MIMO [7,8]
We propose Codebook-aided (C-aided) algorithms to reduce computational complexity for direction of arrival (DOA) estimation in an FDD massive MIMO system, where DOA estimation is achieved by calculating the parameter of path angles of departure (AoDs)
Summary
To meet the diverse type of access with different Quality of Service, such as high data rate application or vehicle to everything with ultra low lantency, antenna collaboration and power control of massive. MIMO system are inevitable, which are guarantee green communication [1,2,3]. It is well-known that massive MIMO can bring significant improvement in energy efficiency and spectral efficiency by using antenna collaboration to focus energy into small regions of space efficiently. Massive MIMO is considered as one of the support techniques for future green communication, especially for smart cities networks [5,6]. For Frequency Division Duplex (FDD) massive MIMO systems, the cost of conventional channel estimation schemes requiring orthogonal pilots are prohibitively high; codebook channel feedback mechanism is indispensable in massive MIMO [7,8]
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