Noncoherent Communication Techniques in Massive Antenna Systems

Noncoherent communication leverages statistical and structural properties of the wireless channel rather than explicit estimation of instantaneous channel state information. In massive antenna systems—systems employing tens to hundreds of antenna elements at the base station—noncoherent schemes offer a path to reduce pilot overhead, simplify receiver design and enhance robustness against fast fading and phase noise. By dispensing with training sequences or by embedding pilots within data symbols, these techniques unlock higher spectral efficiency and lower latency, crucial for next-generation networks.

Key approaches include energy detection, differential or conjugate-reciprocal zero modulation, and subspace or Grassmannian constellation design. Energy detection relies on received power metrics to infer transmitted symbols, while differential schemes encode information in phase or amplitude changes between successive transmissions. Grassmannian methods map symbols onto subspace manifolds, enabling maximum-likelihood decoding without precise channel knowledge. Collectively, these methods exploit the spatial diversity inherent in large antenna arrays and can achieve asymptotic full-receiver diversity orders.

Applications span ultra-reliable low-latency communications for industrial control, massive machine-type communications with sporadic short packets, and high-mobility scenarios such as vehicular or high-speed rail links. Noncoherent techniques are particularly suited to Internet-of-Things deployments where devices have limited processing capabilities. Ongoing research focuses on constellation design, low-complexity detection algorithms and joint multi-user access schemes that scale with array size.

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Noncoherent Communication Techniques in Massive Antenna Systems publication trend

The graph below shows the total number of articles in noncoherent communication techniques in massive antenna systems across all publications each year (not limited to Nature Index journals).

Technical terms

Noncoherent communication: Transmission and detection without explicit knowledge of instantaneous channel coefficients.

Massive MIMO: Wireless systems employing large antenna arrays (tens to hundreds of elements) at the transmitter or receiver to exploit spatial diversity and multiplexing gains.

Channel state information (CSI): Knowledge of the propagation channel’s impulse response or fading coefficients, required for coherent detection.

Modulation on conjugate-reciprocal zeros (MOCZ): A noncoherent scheme that encodes data in the zero locations of a polynomial representation of the transmitted symbol.

Energy detection: A technique that infers transmitted symbols by measuring received signal energy rather than phase or amplitude with channel knowledge.

Grassmannian constellation: A codebook whose codewords lie on a Grassmann manifold, enabling subspace-based noncoherent detection.

References

1. Noncoherent SIMO Transmission via MOCZ for Short Packet-Based Machine-Type Communications in Frequency-Selective Fading Environments. IEEE Open Journal of the Communications Society (2023).
2. Design of Multi-User Noncoherent Massive SIMO Systems for Scalable URLLC. Entropy (2023).
3. Performance analysis of spatial multiplexing MIMO-MFSK based on energy detection for fast-fading environments. EURASIP Journal on Wireless Communications and Networking (2022).