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In this paper, we present space shift keying (SSK) as a new modulation scheme, which is based on spatial modulation (SM) concepts. Fading is exploited for multiple-input multipleoutput (MIMO) channels to provide better performance over conventional amplitude/phase modulation (APM) techniques. In SSK, it is the antenna index used during transmission that(More)
In this letter, we derive the optimal detector for the so-called spatial modulation (SM) system introduced by Mesleh et al. in [1]. The new detector performs significantly better than the original (~4 dB gain), and we support our results by deriving a closed form expression for the average bit error probability. As well, we show that SM with the optimal(More)
A fundamental component of spatial modulation (SM), termed generalized space shift keying (GSSK), is presented. GSSK modulation inherently exploits fading in wireless communication to provide better performance over conventional amplitude/phase modulation (APM) techniques. In GSSK, only the antenna indices, and not the symbols themselves (as in the case of(More)
This paper presents a new blind carrier frequency offset estimation scheme for orthogonal frequency division multiplexing (OFDM) systems with constant modulus (CM) signaling. We consider both single-input single-output (SISO) systems and multiple-input multiple-output (MIMO) systems with orthogonal space-time block coding. The proposed scheme is based on(More)
In this correspondence, we present a comprehensive performance analysis of orthogonal space-time block codes (STBCs) with receive antenna selection. For a given number of receive antennas M, we assume that the receiver uses the best L of the available M antennas, where, typically, L/spl les/M. The selected antennas are those that maximize the instantaneous(More)
Null-steering transmit beamformers aim to maximize the received signal power in the direction of the intended receiver while substantially reducing the power impinging on the unintended receivers located in other directions. The existing null-steering beamformers may not be directly applied in wireless sensor networks (WSNs) as they do not conform with the(More)
We propose a new approach based on compressive sensing (CS) for the channel matrix estimation problem for “massive” (or large-scale) multiuser (MU) multiple-input multiple-output (MIMO) systems. The system model includes a base station (BS) equipped with a very large number of antennas communicating simultaneously with a large number of(More)
Future mobile networks are converging towards heterogeneous multi-tier networks, where macro-, picoand femto-cells are randomly deployed based on user demand. A popular approach for analyzing heterogeneous networks (HetNets) is to use stochastic geometry and treat the location of the BSs as points distributed according to a homogeneous Poisson point process(More)