Power Scaling for Spatial Modulation with Limited Feedback

Abstract

Spatial modulation (SM) is a recently developed multiple-input multiple-output (MIMO) technique which offers a new tradeoff between spatial diversity and spectrum efficiency, by introducing the indices of transmit antennas as a means of information modulation. Due to the special structure of SM-MIMO, in the receiver, maximum likelihood (ML) detector can be combined with low complexity. For further improving the system performance with limited feedback, in this paper, a novel power scaling spatial modulation (PS-SM) scheme is proposed. The main idea is based on the introduction of scaling factor (SF) for weighting the modulated symbols on each transmit antenna of SM, so as to enlarge the minimal Euclidean distance of modulated constellations and improve the system performance. Simulation results show that the proposed PS-SM outperforms the conventional adaptive spatial modulation (ASM) with the same feedback amount and similar computational complexity.

Phase rotation‐based precoding for spatial modulation systems

“…In the conventional equi-spaced phase-based PRP algorithm, a constant phase difference of π/2 is assigned between the adjacent constellation points. Hence, the legitimate received distances are the following three values 4‖h 1 ‖ 2 , 4‖h 2 ‖ 2 , ‖h 1 ‖ 2 + ‖h 2 ‖ 2 , which are the same in (14) associated with N r = 1. Hence, this method is equivalent to our max-FD-based PRP in this specific SM setup, which will be shown in Fig.…”

“…Hence, there is also a paucity of SM-MIMO literature on how to increase the system's robustness to time-varying channel conditions [12][13][14][15]. Specifically, the effects of power imbalance [12,14], the issues of achieving transmit diversity [13], as well as the impact of cooperation have been researched [15]. However, most of the above-mentioned link adaptive (LA) schemes considered only a special case of SM, namely space shift keying (SSK), which exclusively employs the antenna indices for data modulation.…”

Signal Shaping for Generalized Spatial Modulation and Generalized Quadrature Spatial Modulation

“…2) Signal Shaping with CSIT With instantaneous/statistical CSIT, GenSM/GenQSM systems can benefit from adaptive signal shaping. For instance, adaptive signal constellation design was investigated for SM in [18]; [19]- [21] studied antenna selection for SM systems, which can be regarded as the adaptive spatial constellation optimization; A large body of literature such as [22]- [34] probed into precoding schemes as well as their combinations with the adaptive signal or spatial constellation optimization. However, most literature considered SM or single-data-stream GenSM.…”

Spatial modulaiton for 5G MIMO communications

“…The transmit power among different transmit antenna may be changed to improve the performance of SM-MIMO, according to limit feedback of preset power scaling table [19].…”