Scalable Quadrature Spatial Modulation for Massive MIMO

The patent applies dynamic scaling to the STBC size parameter T, allowing it to vary with the number of transmit antennas nT. This dynamic adaptation enables the system to use larger STBC codes when nT is large, thereby achieving higher diversity gains while maintaining manageable detection complexity through the scalable design.

The patent changes the parameter T (STBC size) from a fixed value to a scalable parameter that depends on nT. By adjusting T according to the system scale, the patent achieves both high diversity gain (when T is large) and controlled complexity (through the relationship T ≤ nT), resolving the contradiction between these two opposing requirements.

The patent makes the STBC size T a dynamic parameter that scales with nT, allowing the system to exploit larger coding matrices when more antennas are available. This dynamic scaling enables higher coding gains to be achieved without permanently increasing the baseline complexity, as the system adapts T to match the available resources.

By changing T from a fixed parameter to a scalable one, the patent enables the system to achieve higher coding gains when needed (larger T) while maintaining the flexibility to keep complexity manageable. The relationship T ≤ nT ensures that coding gain improvements come with proportional increases in system resources rather than fixed complexity overhead.

The patent introduces a dynamic detection complexity management strategy where the STBC size T scales with nT. This dynamic relationship ensures that detection accuracy can be maintained through adequate coding (sufficient T) while scalability is preserved by preventing T from growing independently of nT, thus avoiding exponential complexity growth.

By making T a scalable parameter rather than a fixed large value, the patent enables the system to achieve good detection accuracy (through sufficient but not excessive T) while maintaining polynomial-time complexity. The constraint T ≤ nT ensures that detection complexity grows at a manageable rate, preserving scalability.

The patent implements a dynamic scaling relationship where T grows with nT, allowing the system to achieve optimal spectral efficiency by充分利用 available spatial resources. This dynamic adaptation ensures that larger antenna arrays can exploit larger STBC codes to achieve higher spectral efficiency while keeping detection complexity manageable through the proportional relationship.

By changing T from a fixed parameter to one that scales with nT, the patent enables spectral efficiency to improve with system size. The relationship T ≤ nT ensures that spectral efficiency can be optimized (larger T for larger nT) without causing detection complexity to grow uncontrollably, thus resolving the contradiction between these two parameters.

The patent achieves adaptability to arbitrary block sizes through dynamic scaling of T with nT, rather than through fixed large codes. This dynamic approach allows the system to adapt to different system scales while maintaining manageable detection complexity, as T grows proportionally with available resources rather than independently.

By making T a scalable parameter, the patent provides adaptability to different system configurations (arbitrary nT values) while controlling detection complexity. The relationship T ≤ nT ensures that complexity increases only when system resources increase, maintaining efficiency across arbitrary block sizes without unnecessary complexity overhead.