4 research outputs found

    Indoor off-body wireless communication: static beamforming versus space-time coding

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    The performance of beamforming versus space-time coding using a body-worn textile antenna array is experimentally evaluated for an indoor environment, where a walking rescue worker transmits data in the 2.45 GHz ISM band, relying on a vertical textile four-antenna array integrated into his garment. The two transmission scenarios considered are static beamforming at low-elevation angles and space-time code based transmit diversity. Signals are received by a base station equipped with a horizontal array of four dipole antennas providing spatial receive diversity through maximum-ratio combining. Signal-to-noise ratios, bit error rate characteristics, and signal correlation properties are assessed for both off-body transmission scenarios. Without receiver diversity, the performance of space-time coding is generally better. In case of fourth-order receiver diversity, beamforming is superior in line-of-sight conditions. For non-line-of-sight propagation, the space-time codes perform better as soon as bit error rates are low enough for a reliable data link

    Full-Rate, Full-Diversity, Finite Feedback Space-Time Schemes with Minimum Feedback and Transmission Duration

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    In this paper a MIMO quasi static block fading channel with finite N-ary delay-free, noise-free feedback is considered. The transmitter uses a set of N Space-Time Block Codes (STBCs), one corresponding to each of the N possible feedback values, to encode and transmit information. The feedback function used at the receiver and the N component STBCs used at the transmitter together constitute a Finite Feedback Scheme (FFS). Although a number of FFSs are available in the literature that provably achieve full-diversity, there is no known universal criterion to determine whether a given arbitrary FFS achieves full-diversity or not. Further, all known full-diversity FFSs for T<N_t where N_t is the number of transmit antennas, have rate at the most 1. In this paper a universal necessary condition for any FFS to achieve full-diversity is given, using which the notion of Feedback-Transmission duration optimal (FT-Optimal) FFSs - schemes that use minimum amount of feedback N given the transmission duration T, and minimum transmission duration given the amount of feedback to achieve full-diversity - is introduced. When there is no feedback (N=1) an FT-optimal scheme consists of a single STBC with T=N_t, and the universal necessary condition reduces to the well known necessary and sufficient condition for an STBC to achieve full-diversity: every non-zero codeword difference matrix of the STBC must be of rank N_t. Also, a sufficient condition for full-diversity is given for the FFSs in which the component STBC with the largest minimum Euclidean distance is chosen. Using this sufficient condition full-rate (rate N_t) full-diversity FT-Optimal schemes are constructed for all (N_t,T,N) with NT=N_t. These are the first full-rate full-diversity FFSs reported in the literature for T<N_t. Simulation results show that the new schemes have the best error performance among all known FFSs.Comment: 12 pages, 5 figures, 1 tabl

    Fixed-rank Rayleigh Quotient Maximization by an MMPSK Sequence

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    Certain optimization problems in communication systems, such as limited-feedback constant-envelope beamforming or noncoherent MM-ary phase-shift keying (MMPSK) sequence detection, result in the maximization of a fixed-rank positive semidefinite quadratic form over the MMPSK alphabet. This form is a special case of the Rayleigh quotient of a matrix and, in general, its maximization by an MMPSK sequence is NP\mathcal{NP}-hard. However, if the rank of the matrix is not a function of its size, then the optimal solution can be computed with polynomial complexity in the matrix size. In this work, we develop a new technique to efficiently solve this problem by utilizing auxiliary continuous-valued angles and partitioning the resulting continuous space of solutions into a polynomial-size set of regions, each of which corresponds to a distinct MMPSK sequence. The sequence that maximizes the Rayleigh quotient is shown to belong to this polynomial-size set of sequences, thus efficiently reducing the size of the feasible set from exponential to polynomial. Based on this analysis, we also develop an algorithm that constructs this set in polynomial time and show that it is fully parallelizable, memory efficient, and rank scalable. The proposed algorithm compares favorably with other solvers for this problem that have appeared recently in the literature.Comment: 15 pages, 12 figures, To appear in IEEE Transactions on Communication

    MIMO and beamforming techniques for reliable off-body communication using textile antennas

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    Wireless communication systems with textile antennas can be entirely integrated into clothing or garment and do not hinder the user’s movements. Great interest in such an off-body communication system exists in the field of rescue operations, such as firefighting, where the automated communication of vital data between rescue workers or to a base station improves the coordination of the operation and the safety of the rescue workers. To set up a reliable wireless off-body communication link, a number of specific challenges need to be overcome. Persons equipped with wearable antennas constantly change position, orientation, walking pace and body posture. This results in unpredictably variable fading and shadowing on the received signals, producing bit errors, even in case of a high average received signal-to-noise ratio. Fading and shadowing hence dramatically limit the reliability of a communication system with single antennas at both link ends. Using multiple textile antennas, the performance degradation is drastically limited, by means of MIMO and/or beamforming techniques, which mitigate the signal variation and/or produce a higher average signal-to-noise ratio at the receiver, respectively. The research documented in this PhD thesis includes multiple measurement campaigns and their analysis for a diverse number of off-body communication configurations, using MIMO and beamforming techniques with textile antennas. Off-body MIMO techniques are shown to result in a significant improvement of the reliability of the communication, an improvement which further increases when more antennas are used. Channel variation typically of the off-body scenario is tracked with a computationally low-cost system, using adaptive digital low-pass filtering on decision-oriented channel estimation information. Off-body static beamforming techniques are shown to often outperform transmit diversity systems, producing a lower bit error rate at the receiver, provided that receiver diversity is employed to compensate for the channel variation. Finally, a new theoretical model specifically for the off-body MIMO communication channel is presented, allowing an accurate reproduction of bit error rate and channel capacity characteristics as well as the generation of measurement-like random off-body MIMO channel realizations for simulation purposes
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