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008			170518s2017 xx ob 000 0 eng d
020			_a3319576933 _q(electronic bk.)
020			_a9783319576930 _q(electronic bk.)
020			_z3319576925
020			_z9783319576923
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050		4	_aTK5103.4873 _b2017 EB
245	0	0	_aRadio Resource Allocation over Fading Channels Under Statistical Delay Constraints.
260			_bSpringer Verlag _c2017.
300			_a1 recurso en línea
336			_aTexto _btxt _2rdacontent
337			_aelectrónico _bc _2rdamedia
338			_arecurso electrónico _bcr _2rdacarrier
347			_atext file _bPDF
490	0		_aSpringerBriefs in electrical and computer engineering _x2191-8112
500			_aSpringerLink
504			_aIncluye referencias bibliográficas
505	0		_aPreface; Contents; Acronyms; 1 Introduction; 1.1 Motivation; 1.2 Resource Allocation Under Delay Constraints; 1.3 Structure of the Brief; References; 2 Power Allocation Over Fading Channels Under Delay Constraints: A Review; 2.1 Average Delay Constraint; 2.2 Delay-Outage Constraint; 2.2.1 Asymptotic Delay Analysis; 2.2.2 Effective Capacity; 2.2.3 EC-Based Resource Allocation and Performance Analysis; 2.3 Energy Harvesting Communications Systems; 2.4 Buffer-Aided Relaying Communications; 2.4.1 Half-Duplex Relaying with Adaptive Link Selection; 2.4.1.1 Case of Unconstrained Delay.
505	8		_a2.4.1.2 Case of Average Delay Constraint2.4.2 Full-Duplex Relaying; References; 3 Joint Data Admission Control and Power Allocation Over Fading Channel Under Average Delay Constraint; 3.1 System Model and Problem Formulation; 3.1.1 Model Description; 3.1.2 Problem Formulation; 3.1.3 Optimal Throughput-Delay Trade-Off; 3.2 Joint Data Admission Control-Power Allocation; 3.2.1 MDP-Based Optimal Solution; 3.2.2 Post-decision State-Value Function Approach; 3.2.3 Structural Results; 3.2.4 Online Algorithm; 3.3 Illustrative Results; 3.3.1 Settings; 3.3.2 Numerical Results; References.
505	8		_a4 Power Allocation with Energy Harvesting Over Fading Channel Under Statistical Delay Constraints4.1 System Model and Problem Formulations; 4.1.1 Model Description; 4.1.2 Problem Formulations; 4.2 Power Allocation Under Average Delay Constraint ; 4.2.1 Optimal Allocation Solution ; 4.2.2 Online Algorithm; 4.2.3 Baseline Transmission Schemes; 4.3 Power Allocation Under Delay-Outage Constraint ; 4.3.1 Effective Capacity Maximization ; 4.3.1.1 Post-decision State-Value Function Approach ; 4.3.2 Online Algorithm ; 4.3.3 Baseline Transmission Schemes; 4.4 Illustrative Results.
505	8		_a4.4.1 Average Delay Constraint4.4.2 Delay-Outage Constraint; 4.4.3 Average Delay Versus Delay-Outage Constraints; 4.4.4 Convergence Study of the Online Algorithms; References; 5 Resource Allocation for Buffer-Aided Half-Duplex Relaying Under Delay-Outage Constraint; 5.1 System Model and Problem Formulation; 5.1.1 Model Description; 5.1.2 Problem Formulation; 5.2 Delay-Outage Constraint Transformation; 5.2.1 Asymptotic Delay Analysis for Buffer-Aided Relaying Network; 5.2.2 Delay-Outage Constraint Transformation; 5.3 Adaptive Link Scheduling with Fixed Power Allocation; 5.3.1 Optimal Solution.
505	8		_a5.3.2 Special Cases5.3.2.1 Case of Very Loose Delay Constraints; 5.3.2.2 Case of Very Stringent Delay Constraints; 5.3.2.3 Case of Negligible Fading Variation; 5.3.2.4 Case of Similar Link Fading Distributions; 5.3.2.5 Rayleigh Fading Links; 5.3.2.6 Illustration; 5.3.3 Comparison Benchmarks; 5.3.3.1 QoS-Aware B-HD-FLS; 5.3.3.2 QoS-Blind B-HD-ALS; 5.3.3.3 Non-buffer Relaying; 5.4 Adaptive Link Scheduling with Adaptive Power Allocation; 5.4.1 Optimal Solution; 5.4.2 Special Cases; 5.4.2.1 Case of Very Loose Delay Constraints; 5.4.2.2 Case of Very Stringent Delay Constraints.
520	3		_aThis SpringerBrief presents radio resource allocation schemes for buffer-aided communications systems over fading channels under statistical delay constraints in terms of upper-bounded average delay or delay-outage probability. This Brief starts by considering a source-destination communications link with data arriving at the source transmission buffer. The first scenario, the joint optimal data admission control and power allocation problem for throughput maximization is considered, where the source is assumed to have a maximum power and an average delay constraints. The second scenario, optimal power allocation problems for energy harvesting (EH) communications systems under average delay or delay-outage constraints are explored, where the EH source harvests random amounts of energy from renewable energy sources, and stores the harvested energy in a battery during data transmission. Online resource allocation algorithms are developed when the statistical knowledge of the random channel fading, data arrivals, EH processes governing the system dynamics is unknown a-priori. This Brief continues with a source-relay-destination communications link with buffers available at both source and relay, as part of a multi-hop network. Optimal resource allocation schemes for this 3-node relaying system to maximize its effective capacity under a delay-outage constraint are proposed, with special emphasis on relay roles: Half-duplex (HD) or full-duplex (FD) relay operation. With HD relay, the adaptive link selection relaying problem jointly with both fixed and adaptive power allocation schemes is investigated. Within each transmission frame, either the source-relay link or the relay-destination link is selected to be active depending on the channel conditions. With FD relay under the presence of non-zero residual self-interference (SI). This Brief also presents source and relay power allocation schemes for both cases of available knowledge of the channel state information at transmitter (CSIT): instantaneous or statistical. Professional and researchers working in this related field and advanced-level students in electrical or computer engineering will find the content valuable as a reference.
988			_aEBOOK, asignarmaterias, EBSPRINGER_2017D
650		7	_aSistemas de identificación por radiofrecuencia _2embne _0(OCoLC)fst01087315 _0 _9427826
720			_aLe-Ngoc, Tho.
720			_aPhan, Khoa Tran.
856	4	0	_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=http://link.springer.com/10.1007/978-3-319-57693-0 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942			_2lcc _cLE
998			_b02/2018 _dz _e- _zSI