Multiple-antenna techniques for wireless communications - a comprehensive literature survey

A Joint Channel Estimation and Data Detection for a MIMO Wireless Communication System via Sphere Decoding

“…The algorithm searches all of the nodes in the tree that will satisfy constraint given in Eq. (6). The initial choice of the radius decides the performance of the sphere decoding algorithm.…”

“…Several transmission schemes that utilize the MIMO channel in different ways have been proposed. These schemes can be categorized as spatial multiplexing, spatial diversity (space-time coding), smart antennas, and beam forming techniques [6].…”

Dispensing with Channel Estimation: Differentially Modulated Cooperative Wireless Communications

“…At the transmitter of the source MS of Fig. 16, we use a conventional differential modulation scheme, such as DQPSK, which is amalgamated with the unity-rate-code (URC) encoder in order to create a two-stage inner code 2 , whereas an Irregular Convolutional Code 3 (IrCC) associated with an average code rate of R s , namely IrCC s , is employed as the outer code 2 The benefits of the URC is that it has an infinite impulse response (IIR) and hence efficiently spreads the extrinsic information amongst the decoder components. We use here the two-stage 'inner' code terminology to indicate that the demodulator and the URC decoder exchange their extrinsic information as many times as needed, until no more MI improvement is achievable and hence they may be considered as an amalgamated block 3 The philosophy of Irregular Convolutional Code was proposed in [86] for approaching the achievable system capacity.…”

“…This is because their capacity obeys the Shannon-Hartley law, which only increases the achievable throughput logarithmically with the transmit power. During the late 90's, the emergence of multiple antenna aided multiple-input multipleoutput (MIMO) [1,2] techniques constitutes one of the most significant technical innovations over the decades, rendering the system's capacity linearly dependent on the minimum of the number of the transmit and receive antennas, or equivalently on the transmit power, provided that any extra power is assigned to additional antennas. The research of MIMO systems was inspired by the pioneering work of Foschini [3,4] and Telatar [5] on the basis of the fundamental philosophy centered around space-time signal processing [6][7][8][9][10], where the natural time-dimension is complemented by the 'spatial' dimension created by the use of multiple spatially distributed antennas.…”

Fair user selection for zero-forcing precoding in multi-user MISO systems

“…Multi-antenna systems have the potential to greatly increase spectral efficiency [1]- [3] and are therefore capable of satisfying the growing demand on data rate of wireless radios. Several strategies to utilize multi-antenna diversity have been proposed.…”