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The shared computational resources provided by the mobile cloud computing paradigm offer the opportunity for mobile devices to reduce the energy expended, or the latency incurred, in performing significant computational tasks. To maximize their impact, cloud computing systems must jointly optimize the allocation of the computational and radio resources. We consider a scenario in which two mobile users...
The soft demodulator is a key component of receivers that employ iterative demodulation and decoding. For multiple-input multiple-output systems with binary or QPSK signaling, the semidefinite relaxation (SDR) approach to list-based soft demodulation provides a desirable balance between the performance and computational cost. In this paper, that approach is extended to systems with higher order QAM...
Mobile cloud computing provides shared computational resources to which mobile devices can offload computational tasks in order to reduce energy consumption or reduce the latency of the task execution. The decision of whether or not to offload a task can be formulated as a joint optimization problem over the available computational and radio resources. When multiple users seek to offload tasks through...
For MIMO systems with binary or QPSK signalling, soft demodulation techniques based on semidefinite relaxation (SDR) offer a desirable balance between performance and computational cost. In this paper we expand on an extension of that approach to systems with higher-order QAM signalling. In particular, we develop a customized dual-scaling algorithm to solve the semidefinite program that constitutes...
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