Lajos Hanzo

TL;DR: The total transmitted power is minimized at a given mean-square target-estimation error and the optimality condition decomposition (OCD)-based and alternating direction method of multipliers (ADMM)-based algorithms are derived.

TL;DR: By exploiting the benefits of social networking, the burdens imposed on wireless networks by the IoT applications can be mitigated by the proposed caching assisted collaborative computing IoT framework.

TL;DR: A dynamic programming framework is devised and the so-called evolutionary quantum pareto optimization (EQPO) algorithm is proposed and it is demonstrated that the EQPO algorithm achieves a complexity reduction, which is at least an order of magnitude when compared to its predecessors, albeit at the cost of a modest heuristic accuracy reduction.

TL;DR: The proposed DeepSM outperforms the conventional model-based channel estimation and data detection for transmission over time-varying channels and is capable of performing well even in highly dynamic communication environments.

TL;DR: The inherent redundancy in the encoded bit- stream is intentionally increased with the aid of over-complete mapping, and extrinsic information transfer charts are used for designing a suitable mapping of the source-coded bits to the modulated symbols, leading to an approximately 2dB signal-to-noise gain.