Downlink Cell-Free Fixed Wireless Access: Architectures, Physical Realities, and Research Opportunities

Abstract

Recently a new paradigm of wireless access, termed as cell-free massive multiple-input multiple-output (MIMO), has drawn significant research interest. Its primary distinction from conventional massive MIMO aided cellular networks is the ability to eliminate the detrimental inter-cell interference (ICI), or to convert ICI into extra power for the intended signal via a multi-cell cooperation approach originated from network MIMO. However, the information-theoretical limit of cell-free access is achieved at the expense of large network configuration overhead and high MIMO processing complexity. Because of the dynamic nature of wireless channels, the global channel state information (CSI) invoked for network MIMO quickly becomes outdated, leading to performance degradation. This paper focuses on the cell-free implementation of fixed wireless access (FWA), a complementary solution to fibre-to-the-premise (FTTP) where the latter is prohibitively expensive. In particular, we discuss the centralisation architectures and channel characteristics of cellfree FWA, as well as their joint implications on imperfect CSI performance. Moreover, measurement-based offline simulations show that the long coherence time ('quasi-static') assumption of real-world FWA channels is only valid against a completely motionless background, and thus it should not be used in FWA system design or performance analysis. Finally, we present new research opportunities for cell-free FWA in terms of physical infrastructure, data processing as well as machine learning.

A Lattice-Reduction Aided Vector Perturbation Precoder Relying on Quantum Annealing

“…The 1000×100 µs = 100 ms of quantum annealing accounts for solving the problem and the remainder is the time required for the chip to reset and for the temperature to reduce again. The typical coherence times for 5G radio channels are on the order of milliseconds [21], but they can be shorter depending on the mobility of a user. Therefore, the impact of noise within QA must be much reduced so that the number of anneals required is reduced to reach a practical timescale.…”