Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
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Showing 1 to 19 of 19 for “"Rate Maximization"”.
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Sum-rate maximization for two-way active channels.
… the channel is reciprocal, we consider the sum-rate maximization problem under the assumption that the powers of transceivers as well as the channel power are limited. The goal is to jointly optimize the power of each subchannel as well as the allocated power by each transceiver to each …
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Sum-rate maximization for two-way active channel with unequal subchannel noise powers
… as active channels. We study the problem of sum-rate maximization of a two-way active channel with unequal noise powers over the subchannels, conveying information between two sources (two transceivers that can transmit and receive signals), subject to three constraints. The first two constraints …
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Sum-rate maximization in multi-RIS multi-carrier systems through active power allocation and passive beamforming
… we propose a novel approach to solving the sum-rate maximization problem in a multi-RIS environment within an orthogonal frequency division multiplexing (OFDM) framework. Reconfigurable intelligent surfaces (RIS) offer low-cost and energy-efficient solutions for enhancing wireless communication. …
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Joint channel pairing and power allocation optimization in two-way multichannel relaying.
… as time-division broadcast (TDBC) relaying strategies. We investigate the problem of joint subchannel pairing and power allocation to maximize the achievable sum-rate in the network, under an individual power budget at each node. To solve this challenging joint optimization problem, an …
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Sum-rate optimal network beamforming and power allocation for single-carrier asynchronous bidirectional relay network
We study the problem of sum-rate maximization, under a total transmit power budget, for an asynchronous single-carrier bidirectional (two-way) network. The network consists of two single-antenna transceivers which wish to exchange information with the help of multiple single-antenna …
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Resource management in wireless heterogeneous networks: an optimization perspective
… HetNets. Our emphasis is mainly on cross layer strategies. Various aspects of cross layer resource management can be formulated as optimization problems. Throughout this dissertation, we use advanced optimization techniques to develop algorithms that are capable of efficiently solving these …
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Optimal Sum-Rate of Multi-Band MIMO Interference Channel
… of an IC is to maximize the achievable sum-rate by treating interference as Gaussian noise, which is considered optimal in low-interference scenarios. While the sum-rate of the single-band SISO IC is relatively well understood, it is not so when the users have multiple-bands and …
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Centralized and distributed resource allocation with applications to signal processing in communications
… Cognitive Radio sum-rate maximization problem. For the former application, we develop a mathematically rigorous analysis of the nondifferentiable and nonconvex game (of the generalized type) proposed to optimally allocate the network resources in this context; and …
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Joint relay beamforming and transceiver processing in multiuser relay network
… cancellation (SIC) as our decoding strategy to further enhance sum-rate. Simulation results show that the proposed iterative algorithm yields higher achievable sum-rate than the existing partial ZF (PZF) method which uses sum-rate maximization as the design objective.
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MSE-based Linear Transceiver Designs for Multiuser MIMO Wireless Communications
… of MSE matrix determinants is equivalent to sum-rate maximization, but we demonstrate that this problem does not admit a computationally efficient solution. We simplify the problem by minimizing the product of mean squared errors (PMSE) and propose an iterative algorithm based on alternating …
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Power allocation and linear precoding for wireless communications with finite-alphabet inputs
… proposes a new approach to maximizing data rate/throughput of practical communication system/networks through linear precoding and power allocation. First, the mutual information or capacity region is derived for finite-alphabet inputs such as phase-shift keying (PSK), pulse-amplitude …
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Time varying channel models for 5G mobile communication systems
… its fifth generation (5G). Providing high data rate information transfer to highly mobile users over time varying communication channels remains a shared obstacle. In this thesis, we contribute to these global efforts by providing further fundamental understanding of time varying channels in 5G …
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NOMA Integrated with Enabling Technologies and Practical Challenges
… users to share the same resource and separate the users in either the power-domain (PD -NOMA) or in the code domain (CD-NOMA). To make NOMA a reality in networks, several important practical challenges need to be considered. This thesis addresses some of these challenges in both the …
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Efficient Resource Allocation Schemes for Wireless Networks with with Diverse Quality-of-Service Requirements
… heuristic that strikes a balance between rate maximization and fairness of allocation. Next, we develop an energy efficient downlink power control scheme in a energy harvesting small-cell base station equipped with local cache and wireless backhaul. We also study the tradeoff between the …
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Relay assisted device-to-device communication with channel uncertainty
… at the devices. The algorithm is combined with a rate based mode selection algorithm. Next, to cater to the queue state at the relay user equipment, a cross-layer selection algorithm is proposed for a twoway decode and forward relay set up. The algorithm proposed employs deterministic uncertainty …
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Optimization in stochastic models of network applications
… asymptotically-optimal content placement strategies. We then turn to an alternative ``large catalog model'' where the content catalog size scales with the network size. Under this model, we establish that storage space per server must necessarily grow unboundedly if bandwidth utilization is …
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Interpretation of Learned Solutions for Precoding-Oriented Massive MIMO CSI Feedback Design
The development of effective channel feedback strategies is crucial for enabling the widespread adoption of Frequency Division Duplexing in Massive MIMO systems. While conventional methods rely on Compressed Sensing or Codebook-based techniques, Deep Learning has recently emerged as a powerful …
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Resource allocation and secure communication design in simultaneous wireless information and power transfer systems
… a rank-one proof presents that the solution generated by the relaxed problem is optimal to the original problem. Second, a security issue about the SWIPT system is investigated in a cooperative network in the presence of potential eavesdroppers. The AF relay protocol and a PS receiver …
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Multi-layer Optimization Aspects of Deep Learning and MIMO-based Communication Systems
… systems. The initial focus is on the rate optimization for multi-user MIMO (MU-MIMO) configurations; specifically, multiple access channel (MAC) and interference channel (IC). First, the ergodic sum rates of MIMO MAC and IC configurations are determined by jointly integrating the error …