This paper investigates the intelligent development problem for of multi-user millimeter-wave (mmWave) MIMO systems under uncertain environment and unknown interference. To effectively increase the real-time performan...
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ISBN:
(纸本)9781538692233
This paper investigates the intelligent development problem for of multi-user millimeter-wave (mmWave) MIMO systems under uncertain environment and unknown interference. To effectively increase the real-time performance of millimeter-wave (mmWave) MIMO system, a series of advanced communication techniques have been proposed recently, such as hybrid precoding and MIMO relay, which integrated analog and digital schemes to reduce the hardware complexity of the conventional fully-digital beamforming and further maximizing the capacity of the MIMO channel through introducing relays and formulating multi-hop system. However, in practice harsh conditions such as uncertainty environment like rain, wind, snow, users' movement, and the unknown interference, would seriously affect the effectiveness and practicality of those emerging communication techniques. This paper proposes a Game Theoretic Based Intelligent Multi-User Millimeter-Wave MIMO (GT-MU-MIMO) system that includes a novel dynamic codebook based beam training protocol and an online reinforcement learning algorithm supervising the mobility of multi-robot-relay as well as handling the serious effects from the uncertain environment and unknown ***, a novel dynamic codebook development has been introduced to lower the complexity during multi-user beam training. Then, a decentralized game theoretic deep reinforcement learning based intelligent algorithm has been developed. It will not only optimize GT-MII-MIMO beam training efficiency and managing mobility of multi-robot-relay online, and also effectively handle uncertainty while user moving and avoiding the signal interference from unknown radio jamming attack, etc. The effectiveness of proposed design has been demonstrated through computer aided simulation.
Millimeter wave (mmWave) communication allows us to exploit a new spectrum band between 30 GHz to 300 GHz to meet the growing demands of capacity for fifth generation (5G) wireless communication systems. Multiple-inpu...
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ISBN:
(纸本)9781510834835
Millimeter wave (mmWave) communication allows us to exploit a new spectrum band between 30 GHz to 300 GHz to meet the growing demands of capacity for fifth generation (5G) wireless communication systems. Multiple-input multiple-output (MIMO) antennas can be used to tackle higher path loss and attenuation at mmWave frequencies compared to microwave bands. Beamforming, called precoding at the transmitter, is performed digitally in conventional microwave frequency MIMO systems, but at mmWave frequencies the higher cost and power consumption of system components means that the system cannot implement one radio frequency (RF) chain per antenna. To enable spatial multiplexing, hybrid precoders using fewer RF chains than antennas emerge as cost-effective and power saving alternative for the transceiver architecture of mmWave MIMO systems. This paper demonstrates the hybrid precoder design with its spectral efficiency and energy efficiency characteristics, and we compare the performance with that of optimal digital precoding (with one RF chain per antenna) and simplified beam steering systems. It also includes two different algorithmic solutions to meet the optimization objective. The orthogonal matching pursuit (OMP) algorithm appears to provide high performance solution to the problem, whereas the gradient pursuit (GP) algorithm is proposed as a cost-effective and fast approximation solution that can still provide equally high performance.
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