scispace - formally typeset
Search or ask a question
Topic

Base station

About: Base station is a research topic. Over the lifetime, 85883 publications have been published within this topic receiving 1019303 citations. The topic is also known as: Mobile phone base stations & BS.


Papers
More filters
Patent
20 Mar 2001
TL;DR: In this paper, the authors proposed a protocol for seamless and reliable handoff of sessions between base stations while the mobile device is moving between picocells, by implementing a high-level of synchronization between the Base Stations and the Switch.
Abstract: Methods to create a cellular-like communication system, such as a Wireless Private Branch Exchange (WPBX) (123, 124), which includes mobile devices (121, 123) such as a standard cordless phone (handsets), particularly, mobile devices utilizing the Bluetooth short-range wireless communication protocol. The methods provide seamless and reliable handoff of sessions between Base Stations while the mobile device is moving between picocells, by implementing a high-level of synchronization between the Base Stations and the Switch (129). Base Stations of picocells having small coverage areas communicate with the handsets. The communication protocol is divided into a low-level protocol (280, 281) performed by the Base Stations and a high-level protocol (283, 284) performed by the Switch connected to all the Base Stations. The methods support mobile computing or telephony devices and communication protocols, which are not specified to handle handoffs of sessions while moving between Base Stations coverage areas in a data, voice or telephony wireless network.

357 citations

Journal ArticleDOI
TL;DR: A novel integrated machine learning and coordinated beamforming solution is developed to overcome challenges and enable highly-mobile mmWave applications with reliable coverage, low latency, and negligible training overhead.
Abstract: Supporting high mobility in millimeter wave (mmWave) systems enables a wide range of important applications, such as vehicular communications and wireless virtual/augmented reality. Realizing this in practice, though, requires overcoming several challenges. First, the use of narrow beams and the sensitivity of mmWave signals to blockage greatly impact the coverage and reliability of highly-mobile links. Second, highly-mobile users in dense mmWave deployments need to frequently hand-off between base stations (BSs), which is associated with critical control and latency overhead. Furthermore, identifying the optimal beamforming vectors in large antenna array mmWave systems requires considerable training overhead, which significantly affects the efficiency of these mobile systems. In this paper, a novel integrated machine learning and coordinated beamforming solution is developed to overcome these challenges and enable highly-mobile mmWave applications. In the proposed solution, a number of distributed yet coordinating BSs simultaneously serve a mobile user. This user ideally needs to transmit only one uplink training pilot sequence that will be jointly received at the coordinating BSs using omni or quasi-omni beam patterns. These received signals draw a defining signature not only for the user location, but also for its interaction with the surrounding environment. The developed solution then leverages a deep learning model that learns how to use these signatures to predict the beamforming vectors at the BSs. This renders a comprehensive solution that supports highly mobile mmWave applications with reliable coverage, low latency, and negligible training overhead. Extensive simulation results based on accurate ray-tracing, show that the proposed deep-learning coordinated beamforming strategy approaches the achievable rate of the genie-aided solution that knows the optimal beamforming vectors with no training overhead. Compared with traditional beamforming solutions, the results show that the proposed deep learning-based strategy attains higher rates, especially in high-mobility large-array regimes.

356 citations

Journal ArticleDOI
TL;DR: This work analyzes the case of distributed cooperation where each base station has only local CSI, either instantaneous or statistical, and justifies distributed precoding design based on a novel virtual signal-to-interference noise ratio (SINR) framework.
Abstract: Base station cooperation is an attractive way of increasing the spectral efficiency in multiantenna communication. By serving each terminal through several base stations in a given area, intercell interference can be coordinated and higher performance achieved, especially for terminals at cell edges. Most previous work in the area has assumed that base stations have common knowledge of both data dedicated to all terminals and full or partial channel state information (CSI) of all links. Herein, we analyze the case of distributed cooperation where each base station has only local CSI, either instantaneous or statistical. In the case of instantaneous CSI, the beamforming vectors that can attain the outer boundary of the achievable rate region are characterized for an arbitrary number of multiantenna transmitters and single-antenna receivers. This characterization only requires local CSI and justifies distributed precoding design based on a novel virtual signal-to-interference noise ratio (SINR) framework, which can handle an arbitrary SNR and achieves the optimal multiplexing gain. The local power allocation between terminals is solved heuristically. Conceptually, analogous results for the achievable rate region characterization and precoding design are derived in the case of local statistical CSI. The benefits of distributed cooperative transmission are illustrated numerically, and it is shown that most of the performance with centralized cooperation can be obtained using only local CSI.

353 citations

Journal ArticleDOI
William C. Y. Lee1, Yu Yeh1
TL;DR: The analysis and experiment demonstrated the feasibility of providing two diversity branches at UHF by polarization diversity, and the local means of the two signals were highly correlated and were with ± 3 dB for almost 90 percent of the time.
Abstract: Conventional space diversity reception at typical elevated base locations requites separation of 30λ for broadside incidence and even more for in-line incidence and is therefore difficult to implement. A polarization diversity system for mobile radio is proposed. This is a two-branch receiver diversity system with the advantage that the base station antennas can be spaced as closely as desired. An experimental program has been carried out to obtain the statistical properties of vertically and horizontally polarized electromagnetic waves in a suburban environment at 836 MHz. It was observed that signals of both polarizations were Rayleigh plus log normal, where one is uncorrelated and other is correlated irrespective of base or mobile antenna spacings. The local means of the two signals were highly correlated and were with ± 3 dB for almost 90 percent of the time. Variation of base transmitter heights appeared to have little effect on the ratio of the local means of the two signals. The analysis and experiment demonstrated the feasibility of providing two diversity branches at UHF by polarization diversity.

353 citations

Journal ArticleDOI
TL;DR: In this paper, the procedure for obtaining the local average power (also called local mean) of a mobile radio signal is described, which is based on the Rayleigh distribution and can be treated as a standard procedure.
Abstract: The procedure for obtaining the local average power (also called local mean) of a mobile radio signal is described. The measured length of a mobile radio signal necessary to obtain the local average power is determined to be in the range of 20 to 40 wavelengths. It is based on the Rayleigh distribution. The sufficient number of samples for estimating the local average power values is about 36. It is based on a 90 percent confidence interval and less than 1 dB error in estimate. This procedure of estimate can be treated as a standard procedure.

352 citations


Network Information
Related Topics (5)
Wireless
133.4K papers, 1.9M citations
96% related
Wireless network
122.5K papers, 2.1M citations
96% related
Wireless ad hoc network
49K papers, 1.1M citations
94% related
Network packet
159.7K papers, 2.2M citations
94% related
Wireless sensor network
142K papers, 2.4M citations
93% related
Performance
Metrics
No. of papers in the topic in previous years
YearPapers
20231,277
20222,829
20211,823
20203,484
20194,001
20184,426