A 3d-mimo multi-cell downlink adaptive transmission method
A 3D-MIMO, adaptive transmission technology, applied in the field of multi-cell adaptive transmission, can solve the problems of high system feedback overhead, infeasible interference coordination, and cell network interference.
Active Publication Date: 2019-07-30
SOUTHEAST UNIV
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Problems solved by technology
In addition, inter-cell interference is the main factor limiting the capacity improvement of multi-cell MIMO communication systems. While multi-cell improves coverage, it also brings the problem of inter-cell network interference.
Traditional interference cancellation technologies such as ZF, MF, and RZF use the instantaneous channel state information of the channel. For FDD systems, the acquisition of instantaneous channel state information will lead to a large amount of system overhead and feedback, especially when the massive MIMO system base station antenna When the scale and the number of users are large, the system feedback overhead will be very large, and it will become infeasible to use instantaneous channel state information for interference coordination
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[0044] The technical scheme of the present invention will be further described in detail below:
[0045] The method of the present invention mainly includes the following steps:
[0046] Step 1. In the initial state, the priority of all users in each cell is set to 1, that is, ψ(i,k)=1, i=1,...,G, k=1,...,K i , Where ψ(i,k) is the priority of the k-th user in the i-th cell, K i Is the total number of users in the i-th cell, and for each subsequent scheduling time slot, each cell will update the priority of each user according to the user scheduling result of the time slot;
[0047] Step 2. For each subsequent scheduling time slot, each cell first sets its service user set to be an empty set, namely i=1,...,G, where, Is the set of service users in the i-th cell, Empty set
[0048] Step 3. Each cell performs user scheduling and calculates each user's beamforming vector and transmit power; the i-th cell performs user scheduling and calculates each user's beamforming vector and transmit...
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The invention discloses a 3D-MIMO multi-cell downlink adaptive transmission method. Each base station adopts a uniform planar array antenna, and a priority is set for each user. When in an initial state, the priorities of all users are set to be 1, subsequently in each scheduling time slot, each cell selects a local cell service user set by using the user priorities and known statistical channel information and computes a beam forming vector and transmission power of each user, then each cell separates edge users of a neighbor cell from the service users by using a large-scale fading factor, and performs interference coordination on each edge user and the neighbor cell. At last, the priorities of the service users in the time slot are set to be 1, 1 is added to the priorities of the otherusers until the priorities reach the highest, and each cell only perform precoding transmission on the users in the service user set. The method has the advantages of small amount of required information and low computing complexity, and can flexibly set thresholds to meet different customer service quality, and effectively enhance service quality of the edge users and user fairness.
Description
Technical field [0001] The invention relates to the technical field of multi-cell adaptive transmission, in particular to a 3D-MIMO multi-cell downlink adaptive transmission method. Background technique [0002] With the development of the modern information society, the number of various intelligent mobile terminals has increased dramatically, and higher requirements have been put forward on the transmission rate, network capacity, delay, and number of connections of wireless communication systems. MIMO technology has become the main core technology of modern wireless communication systems, such as LTE systems and WIAX systems. Massive MIMO with hundreds or even thousands of antennas deployed in base stations is an effective method to improve network transmission rate and coverage. Compared with the existing MIMO, the spatial resolution of massive MIMO is significantly enhanced, and it can deeply mine the spatial dimensional resources, so that multiple users in the network can ...
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IPC IPC(8): H04W72/12H04L5/00H04J11/00H04B7/0413
Inventor 李潇李朝松高西奇
Owner SOUTHEAST UNIV