Communications in interference limited networks /
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| Imprint: | Cham : Springer, 2016. |
|---|---|
| Description: | 1 online resource : illustrations |
| Language: | English |
| Series: | Signals and communication technology Signals and communication technology. |
| Subject: | |
| Format: | E-Resource Book |
| URL for this record: | http://pi.lib.uchicago.edu/1001/cat/bib/11252755 |
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| 245 | 0 | 0 | |a Communications in interference limited networks / |c Wolfgang Utschick, editor. |
| 264 | 1 | |a Cham : |b Springer, |c 2016. | |
| 300 | |a 1 online resource : |b illustrations | ||
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| 504 | |a Includes bibliographical references. | ||
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| 505 | 0 | |a Preface; Contents; 1 Coding Techniques for Transmitting Packets Through Complex Communication Networks; 1.1 Introduction; 1.2 Gabidulin Codes; 1.2.1 Decoding Using the Linearized Extended Euclidean Algorithm (LEEA); 1.2.2 Linearized Shift-Register Synthesis; 1.2.3 Remarks; 1.3 Interleaved Gabidulin Codes; 1.3.1 Decoding Interleaved Gabidulin Codes; 1.3.2 Remarks; 1.4 Partial Unit Memory Codes; 1.4.1 Convolutional Codes; 1.4.2 (Partial) Unit Memory Codes; 1.4.3 Distance Measures; 1.4.4 Upper Bounds; 1.4.5 Construction; 1.4.6 Calculation of Distances; 1.4.7 Remarks; 1.5 Bounds for List Decoding. | |
| 505 | 8 | |a 1.5.1 Subspace Codes1.5.2 Constant-Rank Codes; 1.5.3 Constant-Dimension and Constant-Rank Codes; 1.5.4 Constant-Dimension Codes from Lifted MRD Codes; 1.5.5 Connection Between Constant-Rank Codes and List Size; 1.5.6 Upper Bound on the List Size; 1.5.7 Lower Bound on the List Size; 1.5.8 Interpretation and Conclusion; 1.5.9 Remarks; References; 2 Modulo-Type Precoding for Networks; 2.1 Introduction; 2.1.1 MIMO Broadcast Channel; 2.1.2 Finite-Field Matrix Channels; 2.1.3 Analogies and Dualities; 2.2 Connection Between Complex-Valued and Finite-Field Channels in Precoding. | |
| 505 | 8 | |a 2.2.1 Conventional Schemes2.2.2 Lattice-Reduction-Aided Schemes; 2.2.3 Integer-Forcing Schemes; 2.2.4 Summary; 2.3 Precoding for Distributed MIMO; 2.3.1 Optimization Under Per-Antenna Power Constraints; 2.3.2 Coordination Effort and Hierarchical Precoding; 2.3.3 Selection of the Coordination Strategy; 2.3.4 Quantization of Precoded Symbols; 2.4 Precoding for Finite-Field Channels; 2.4.1 Differential Linear Network Coding; 2.4.2 Selection Precoding; References; 3 Enabling the Multi-User Generalized Degrees of Freedom in Cellular Interference Networks with Multi-User Coding; 3.1 Introduction. | |
| 505 | 8 | |a 3.1.1 Road to Constant-Gap Sum-Capacity Approximations of Cellular Channels3.2 The Interfering Multiple Access Channel; 3.3 Linear Deterministic Approximation of the IMAC in the Weak Interference Regime; 3.3.1 Approximate Sum-Capacity; 3.3.2 Duality Between IMAC and IBC; 3.3.3 Transfer to the Gaussian IMAC; 3.4 Lower Triangular Deterministic Model; 3.4.1 Approximate Sum-Capacity; 3.5 Discussion; References; 4 The Information-Theoretic Constant-Gap Optimality of Treating Interference as Noise in Interference Networks; 4.1 Introduction; 4.2 Optimality of Treating Interference as Noise. | |
| 505 | 8 | |a 4.2.1 GDOF Perspective4.2.2 Finite SNR Regime; 4.3 Approximate Optimality; 4.3.1 System Model; 4.3.2 Simple Interference Management in PIMAC; 4.3.3 Upper Bound for the Capacity of the PIMAC; 4.3.4 GDoF Optimality of Simple Schemes; 4.4 Constant Gap Analysis; 4.5 TIN Is Always Sub-optimal; 4.6 Summary; References; 5 Interference-Aware Analog Computation over the Wireless Channel: Fundamentals and Strategies; 5.1 Introduction; 5.1.1 Related Work; 5.1.2 Notation; 5.2 Communication Versus Computation; 5.2.1 The Wireless Multiple-Access Channel; 5.2.2 The Communication Problem. | |
| 520 | |a This book offers means to handle interference as a central problem of operating wireless networks. It investigates centralized and decentralized methods to avoid and handle interference as well as approaches that resolve interference constructively. The latter type of approach tries to solve the joint detection and estimation problem of several data streams that share a common medium. In fact, an exciting insight into the operation of networks is that it may be beneficial, in terms of an overall throughput, to actively create and manage interference. Thus, when handled properly, "mixing" of data in networks becomes a useful tool of operation rather than the nuisance as which it has been treated traditionally. With the development of mobile, robust, ubiquitous, reliable and instantaneous communication being a driving and enabling factor of an information centric economy, the understanding, mitigation and exploitation of interference in networks must be seen as a centrally important task. | ||
| 546 | |a English. | ||
| 650 | 0 | |a Wireless communication systems. |0 http://id.loc.gov/authorities/subjects/sh92006740 | |
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| 655 | 4 | |a Electronic books. | |
| 700 | 1 | |a Utschick, W. |q (Wolfgang), |d 1964- |e editor. |0 http://id.loc.gov/authorities/names/no2002013627 | |
| 776 | 0 | 8 | |i Print version: |a Utschick, Wolfgang. |t Communications in Interference Limited Networks. |d Cham : Springer International Publishing, ©2016 |z 9783319224398 |
| 830 | 0 | |a Signals and communication technology. |0 http://id.loc.gov/authorities/names/no2002055234 | |
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