Wireless Communications: Principles and Practice
Wireless Communications: Principles and Practice
Principles of Mobile Communication
Principles of Mobile Communication
Digital Beamforming in Wireless Communications
Digital Beamforming in Wireless Communications
Third-Generation Systems and Intelligent Wireless Networking: Smart Antennas and Adaptive Modulation
Third-Generation Systems and Intelligent Wireless Networking: Smart Antennas and Adaptive Modulation
Comparing WiMAX and HSPA: a guide to the technology
BT Technology Journal
Distributed beamforming for wireless sensor networks with random node location
ICASSP '09 Proceedings of the 2009 IEEE International Conference on Acoustics, Speech and Signal Processing
Theory and application of covariance matrix tapers for robustadaptive beamforming
IEEE Transactions on Signal Processing
Time-Slotted Round-Trip Carrier Synchronization for Distributed Beamforming
IEEE Transactions on Signal Processing
Bayesian Beamforming for DOA Uncertainty: Theory and Implementation
IEEE Transactions on Signal Processing
A Bayesian approach to robust adaptive beamforming
IEEE Transactions on Signal Processing
Robust beamforming for interference rejection in mobilecommunications
IEEE Transactions on Signal Processing
WAVES: weighted average of signal subspaces for robust widebanddirection finding
IEEE Transactions on Signal Processing
A Cross-Layer Approach to Collaborative Beamforming for Wireless Ad Hoc Networks
IEEE Transactions on Signal Processing - Part I
Collaborative beamforming for distributed wireless ad hoc sensor networks
IEEE Transactions on Signal Processing
Convergence of a Class of Decentralized Beamforming Algorithms
IEEE Transactions on Signal Processing
On the Feasibility of Distributed Beamforming in Wireless Networks
IEEE Transactions on Wireless Communications
Cooperative diversity in wireless networks: Efficient protocols and outage behavior
IEEE Transactions on Information Theory
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In this paper, we introduce Adaptive Beamforming (AB) and Distributed Beamforming (DB) as two efficient techniques for Intelligent WiMAX (I-WiMAX). I-WiMAX is a new maritime communication system, consisting of Smart Radio (SR) principles and mobile WiMAX based on the IEEE 802.16e standard. Adopting AB, the same spectrum can accommodate more users by directing the main beam towards desired users while antenna pattern nulls towards others. To reduce the channel interferences caused by spectrum reusing, the Null Broadening (NB) method is required for downlink beamforming of I-WiMAX. A new NB method is presented in this paper with iterative weights computing for different OFDM subcarriers. Considering the spatial channel model seen at Subscriber Stations (SS) based on the von Mises distribution, the coverage range of one Base Station (BS) is dramatically enlarged by employing the NB technique. Meanwhile, assuming those SS which are within the coverage range as nodes of a relay network, the DB technique is introduced to forward signals to distant SS by forming the main beams towards them instead of deploying more BS to increase the communication range. It is proven in this paper that DB can successfully do the job. To reuse the spectrum, two DB methods are presented by directing different beams towards different required directions at the same time. With the AB and DB techniques, reliable I-WiMAX links can be established for long distances, with more optimum spectrum use and less infrastructure.