1# Library to Find Best eBook for Read
Author : Binbin Su
Release : 2020
Genre :
Kind : eBook
Book Rating : /5 ( reviews)
Book Synopsis Resource Allocation Optimization for Future Wireless Communication Systems by : Binbin Su
Download or read book Resource Allocation Optimization for Future Wireless Communication Systems written by Binbin Su. This book was released on 2020. Available in PDF, EPUB and Kindle. Book excerpt:
Author : K. Sumathi
Release : 2016-12-13
Genre :
Kind : eBook
Book Rating : 345/5 ( reviews)
Book Synopsis Optimization Techniques in Resource Allocation of Wireless Communication Systems by : K. Sumathi
Download or read book Optimization Techniques in Resource Allocation of Wireless Communication Systems written by K. Sumathi. This book was released on 2016-12-13. Available in PDF, EPUB and Kindle. Book excerpt: Scientific Study from the year 2016 in the subject Engineering - Communication Technology, Mahalingam College of Engineering and Technology, language: English, abstract: The future Wireless Communication Systems (WCS) are supposed to provide high data rate to support personal and multimedia communications irrespective of the users' mobility and location. These services include heterogeneous classes of traffics such as voice, file transfer, web browsing, wireless multimedia, teleconferencing, and interactive games. In recent years, data and multimedia services have become important in wireless communications. As a result, bandwidth requirement and number of users become delicate problems. To support high data rate requirement for future WCS, it is essential to efficiently allocate the limited resources. The major challenges are the dynamic nature of wireless channel, limited resources such as power, frequency spectrum, and diversified Quality of Service (QoS) requirements. Orthogonal Frequency Division Multiplexing (OFDM) is a special case of multicarrier transmission that supports high data rate operation. OFDM is a modulation and multiplexing technique appropriate for current and future wireless networks. OFDM divides the available bandwidth into a number of parallel independent orthogonal subchannels and their bandwidth is much less than the coherence bandwidth of the channel. The wide band frequency selective fading channel is converted into several narrow band flat fading channels. OFDM is an excellent method to overcome multipath fading effects. One of the goals of WCS is to enhance the capacity of the channel. Multiple Access Technique (MAT) permits several mobile users to share the given bandwidth in an effective way. Basically there are four multiple access techniques available namely, Time Division Multiple Access (TDMA), Frequency Division Multiple access (FDMA), Code Division Multiple Access (CDMA) and Space Division Multiple Access (SDMA). MAT is employ
Author : Saeedeh Parsaeefard
Release : 2017-03-06
Genre : Technology & Engineering
Kind : eBook
Book Rating : 898/5 ( reviews)
Book Synopsis Robust Resource Allocation in Future Wireless Networks by : Saeedeh Parsaeefard
Download or read book Robust Resource Allocation in Future Wireless Networks written by Saeedeh Parsaeefard. This book was released on 2017-03-06. Available in PDF, EPUB and Kindle. Book excerpt: This book presents state-of-the-art research on robust resource allocation in current and future wireless networks. The authors describe the nominal resource allocation problems in wireless networks and explain why introducing robustness in such networks is desirable. Then, depending on the objectives of the problem, namely maximizing the social utility or the per-user utility, cooperative or competitive approaches are explained and their corresponding robust problems are considered in detail. For each approach, the costs and benefits of robust schemes are discussed and the algorithms for reducing their costs and improving their benefits are presented. Considering the fact that such problems are inherently non-convex and intractable, a taxonomy of different relaxation techniques is presented, and applications of such techniques are shown via several examples throughout the book. Finally, the authors argue that resource allocation continues to be an important issue in future wireless networks, and propose specific problems for future research.
Author : Sepehr Rezvani
Release : 2023-08-09
Genre :
Kind : eBook
Book Rating : 731/5 ( reviews)
Book Synopsis Resource Allocation Optimization in Future Wireless Networks by : Sepehr Rezvani
Download or read book Resource Allocation Optimization in Future Wireless Networks written by Sepehr Rezvani. This book was released on 2023-08-09. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Fa-Long Luo
Release : 2020-02-10
Genre : Technology & Engineering
Kind : eBook
Book Rating : 252/5 ( reviews)
Book Synopsis Machine Learning for Future Wireless Communications by : Fa-Long Luo
Download or read book Machine Learning for Future Wireless Communications written by Fa-Long Luo. This book was released on 2020-02-10. Available in PDF, EPUB and Kindle. Book excerpt: A comprehensive review to the theory, application and research of machine learning for future wireless communications In one single volume, Machine Learning for Future Wireless Communications provides a comprehensive and highly accessible treatment to the theory, applications and current research developments to the technology aspects related to machine learning for wireless communications and networks. The technology development of machine learning for wireless communications has grown explosively and is one of the biggest trends in related academic, research and industry communities. Deep neural networks-based machine learning technology is a promising tool to attack the big challenge in wireless communications and networks imposed by the increasing demands in terms of capacity, coverage, latency, efficiency flexibility, compatibility, quality of experience and silicon convergence. The author – a noted expert on the topic – covers a wide range of topics including system architecture and optimization, physical-layer and cross-layer processing, air interface and protocol design, beamforming and antenna configuration, network coding and slicing, cell acquisition and handover, scheduling and rate adaption, radio access control, smart proactive caching and adaptive resource allocations. Uniquely organized into three categories: Spectrum Intelligence, Transmission Intelligence and Network Intelligence, this important resource: Offers a comprehensive review of the theory, applications and current developments of machine learning for wireless communications and networks Covers a range of topics from architecture and optimization to adaptive resource allocations Reviews state-of-the-art machine learning based solutions for network coverage Includes an overview of the applications of machine learning algorithms in future wireless networks Explores flexible backhaul and front-haul, cross-layer optimization and coding, full-duplex radio, digital front-end (DFE) and radio-frequency (RF) processing Written for professional engineers, researchers, scientists, manufacturers, network operators, software developers and graduate students, Machine Learning for Future Wireless Communications presents in 21 chapters a comprehensive review of the topic authored by an expert in the field.
