Bandwidth Efficiency Maximization for Single-Cell Massive Spatial Modulation MIMO: An Adaptive Power Allocation Perspective | Zendy

Longzhuang He | Zendy; Jintao Wang | Zendy; Jian Song | Zendy; Lajos Hanzo | Zendy

Open Access

Bandwidth Efficiency Maximization for Single-Cell Massive Spatial Modulation MIMO: An Adaptive Power Allocation Perspective

Author(s) -

Longzhuang He,

Jintao Wang,

Jian Song,

Lajos Hanzo

Publication year - 2017

Publication title -

ieee access

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.587

H-Index - 127

ISSN - 2169-3536

DOI - 10.1109/access.2017.2668420

Subject(s) - aerospace , bioengineering , communication, networking and broadcast technologies , components, circuits, devices and systems , computing and processing , engineered materials, dielectrics and plasmas , engineering profession , fields, waves and electromagnetics , general topics for engineers , geoscience , nuclear engineering , photonics and electrooptics , power, energy and industry applications , robotics and control systems , signal processing and analysis , transportation

The concept of massive spatial modulation aided multiple-input multiple-output (SM-MIMO) systems, where the base station (BS) is equipped with a large number of antennas and simultaneously serves several multi-antenna users that employ SM for their uplink transmission, has recently attracted substantial research interest. In this paper, we investigate the uplink bandwidth efficiency (BE) of single-cell massive SM-MIMO systems, and derive a new BE lower bound when the BS employs maximum ratio combining for uplink user detection. The proposed BE bound takes into account the impact of spatial correlations at the transmitter, of imperfect channel estimation, and of non-uniform power allocation among each user's antennas (i.e., different antennas are allocated with different levels of transmit power). These bounds are shown to be tight even when a moderate number of antennas is used by the BS. Based on this bound, a gradient ascent method-based optimization is carried out to find the optimal power allocation among the transmit antennas (TAs) of each user, so that the uplink BE can be maximized. More specifically, the optimal power allocation is found to be typically dependent both on the TAs' spatial correlation and on the large-scale attenuation of each user. Aided by this new power allocation scheme, a substantial BE gain can be achieved over the conventional uniform power allocation schemes, which is substantiated by our simulation results.

The content you want is available to Zendy users.

Already have an account? Click here to sign in.

Having issues? You can contact us here

Accelerating Research