Power Scaling of Uplink Massive MIMO Systems With Arbitrary-Rank Channel Means

By Shi Jin, Kai‐Kit Wong, Hongbo Zhu, Michail Matthaiou. IEEE Journal on Selected Topics in Signal Processing, 2014

578 citations recorded by the source corpus.

This paper investigates the uplink achievable rates of massive multiple-input multiple-output (MIMO) antenna systems in Ricean fading channels, using maximal-ratio combining (MRC) and zero-forcing (ZF) receivers, assuming perfect and imperfect channel state information (CSI). In contrast to previous relevant works, the fast fading MIMO channel matrix is assumed to have an arbitrary-rank deterministic component as well as a Rayleigh-distributed random component. We derive tractable expressions for the achievable uplink rate in the large-antenna limit, along with approximating results that hold for any finite number of antennas. Based on these analytical results, we obtain the scaling law that the users' transmit power should satisfy, while maintaining a desirable quality of service. In particular, it is found that regardless of the Ricean K-factor, in the case of perfect CSI, the approximations converge to the same constant value as the exact results, as the number of base station antennas, M, grows large, while the transmit power of each user can be scaled down proportionally to 1/M. If CSI is estimated with uncertainty, the same result holds true but only when the Ricean K-factor is non-zero. Otherwise, if the channel experiences Rayleigh fading, we can only cut the transmit power of each user proportionally to 1/√M. In addition, we show that with an increasing Ricean K-factor, the uplink rates will converge to fixed values for both MRC and ZF receivers.

Subfields: Computer Networks and Communications, Electrical and Electronic Engineering

View Paper: https://www.semanticscholar.org/paper/524e4c2d4049b052d1e08c371c20e5afecb0444e

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Computer Networks and Communications

1. Chao-Kai Wen
2. Shi Jin
3. Haixia Zhang
4. Li Fan

In Electrical and Electronic Engineering

1. Chao-Kai Wen
2. Shi Jin
3. Haixia Zhang
4. Li Fan
5. Geoffrey Y. Li
6. Erik G. Larsson
7. M. Di Renzo
8. Merouane Debbah

Citations in the corpus

• An Overview of Signal Processing Techniques for RIS/IRS-Aided Wireless Systems (2021, unknown): “The number of time slots in each coherence block is Tc = 196[216], [217].”
• Uplink Achievable Rate for Massive MIMO Systems With Low-Resolution ADC (2015, methodology): “which agrees with a result derived previously in [7] for the infinite precision case.”