Ubiquitous Cell-Free Massive MIMO Communications

Since the first cellular networks were trialled in the 1970s, we have witnessed an incredible wireless revolution. From 1G to 4G, the massive traffic growth has been managed by a combination of wider bandwidths, refined radio interfaces, and network densification, namely increasing the number of antennas per site. Due its cost-efficiency, the latter has contributed the most. Massive MIMO (multiple-input multiple-output) is a key 5G technology that uses massive antenna arrays to provide a very high beamforming gain and spatially multiplexing of users, and hence, increases the spectral and energy efficiency. It constitutes a centralized solution to densify a network, and its performance is limited by the inter-cell interference inherent in its cell-centric design. Conversely, ubiquitous cell-free Massive MIMO refers to a distributed Massive MIMO system implementing coherent user-centric transmission to overcome the inter-cell interference limitation in cellular networks and provide additional macro-diversity. These features, combined with the system scalability inherent in the Massive MIMO design, distinguishes ubiquitous cell-free Massive MIMO from prior coordinated distributed wireless systems. In this article, we investigate the enormous potential of this promising technology while addressing practical deployment issues to deal with the increased back/front-hauling overhead deriving from the signal co-processing.Comment: Published in EURASIP Journal on Wireless Communications and Networking on August 5, 201

Analysis of hybrid schedulers for CoMP resource allocation in LTE-Advanced SU-MIMO systems

Coordinated Multi Point transmission and reception (CoMP) has been considered as a promising technique to enhance system throughput performance by reducing inter-cell interference (ICI) in cell edge area. Past studies showed that Joint Processing (JP) transmission mode is capable to provide much better throughput performance benefits than Coordinated Scheduling/Beamforming (CS/CB) both in homogeneous and heterogeneous networks; however, the robust strategy of resource block (RB) allocation and scheduling algorithms has to be specifically designed for CoMP-JP in a MIMO-OFDMA system. In this paper, an intuitive algorithm will be investigated in order to reach the highest overall system throughput but keep same level of fairness performance at same time. We first analyze the threshold of reference signal strength to determine the operating region for CoMP-JP user selection, and then calculate the robust ratio of RB allocation for CoMP and non-CoMP users. In final stage, the hybrid schedulers adopted specifically for the unique characteristics of CoMP and non-CoMP users will be analyzed and compared. Our results show that the threshold of reference signal strength $(\lambda, \theta)$ should both be set at -1dB for CoMP operating region, and the parameter to the ratio of CoMP users should be set at $\gamma = 0.9$ for robust RB allocation