TD-LTE Antenna Array Smart Cover Study

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This paper integrated the antenna array analysis with difierential evolution algo- rithm to optimize weights of antenna ports e-ciently based on the customers' expected pattern, which could form the special broadcast beam to cover weak coverage cell. The broadcast beams were optimized by this method coincide with expected pattern through antenna anechoic cham- ber test. The LTE network experiment shows that the RSRP (Reference Signal Receiving Power) of communication network are improved 5% averagely after optimized by this method. 1. INTRODUCTION The Long Term Evolution (LTE) system has been specifled by the Third Generation Partnership Project (3GPP) on the way towards fourth-generation (4G) mobile to ensure 3GPP keeping the dominance of the cellular communication technologies. Through the design and optimization of new radio access techniques and a further evolution of the LTE systems, the 3GPP is developing the future LTE-Advanced (LTE-A) wireless networks as the 4G standard of the 3GPP. With the increase of mobile users, communication network environment is more complex, especially in some special scenes broadcast coverage requires some special beams. Smart antenna could realized the beamforming by each antenna array element excitation (also known as weights, including amplitude and phase), to make the antenna beam. The TD-SCDMA and TD-LTE systems include broadcast model and business model. The broadcast beam is 65 degree in general. For the special broadcast coverage, the current method is provided the table for some special beam weights, such as 90 degrees, 120 degrees and saddle shape beam. At present the main achievement is the business beamforming, however the broadcast beam- forming study is lack, and the existing broadcasting beamforming simulation software is mainly according to the manufacturers to provide the weights data to generate waveform simulation. These methods are lack of ∞exibility and accuracy. In addition, the system of TD-LTE, in the TM7 mode, using a single beamforming can also encounter this similar situation (1{3). Based on the expected pattern, integrated the antenna array analysis with modern optimization algorithm, the weights of antenna ports can be optimized in the paper (4). TDD antenna broadcast beam weights adaptive design is realized by this method and the optimized broadcast patterns coincide with expected pattern. Smart antenna broadcast shaped beam weights adaptive design technology is applied to improve the wireless network coverage. The antenna array weights can be deduced through the broadcasting beam. The simulated beam patterns match with cell's actual coverage. This technique can greatly reduce the workload of network optimization, and improve the coverage of the wireless network rate, success rate and handover success rate.

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