Shaoshi Yang

TL;DR: In this article, the authors provide a recital on the historic heritages and novel challenges facing massive/large-scale multiple-input multiple-output (LS-MIMO) systems from a detection perspective.

TL;DR: In this article, the authors provide a tutorial and survey of recent research and development efforts addressing this issue by using the technique of multi-objective optimization (MOO), and elaborate on various prevalent approaches conceived for MOO, such as the family of mathematical programming-based scalarization methods, and a variety of other advanced optimization techniques.

TL;DR: The analysis shows that the estimation performance of the proposed approach improves when the large-scale/massive MIMO systems are employed and the approximate Cramér-Rao bound ofThe proposed estimator for the 2-D localization is derived.

TL;DR: The joint power and subcarrier allocation problem is solved in the context of maximizing the energy-efficiency of a multi-user, multi-relay orthogonal frequency division multiple access (OFDMA) cellular network, where the objective function is formulated as the ratio of the spectral-efficiency over the total power dissipation.

TL;DR: This paper investigates secure communications in a two-tier downlink HetNet, which comprises one macrocell and several femtocells, and considers an orthogonal spectrum allocation strategy to eliminate co-channel interference.