Summary
Chapter 23 Summary: RF and Hardware Aspects
Key Points
- 1.
Transceiver architecture choices fundamentally shape system performance. Direct-conversion receivers enable high integration but introduce I/Q imbalance, modelled as with image rejection ratio . For 256-QAM, IRR dB is required, demanding amplitude imbalance % and phase imbalance .
- 2.
Power amplifier nonlinearity creates in-band EVM degradation and out-of-band spectral regrowth. The Rapp model with smoothness parameter characterises the AM/AM compression. The fundamental EVM--efficiency trade-off requires input back-off comparable to the signal PAPR, reducing PA efficiency to single digits for OFDM signals. Digital pre-distortion (DPD) recovers 2--4 dB of back-off, roughly doubling efficiency.
- 3.
ADC quantisation imposes a resolution--bandwidth--power trade-off with . The SQNR follows the 6 dB/bit rule. For massive MIMO, 5--6 bit ADCs suffice at typical operating SNRs. The extreme case of 1-bit ADCs, analysed via the Bussgang decomposition, imposes a hard per-user capacity ceiling of bits/s/Hz regardless of antenna count.
- 4.
Phase noise from local oscillators degrades OFDM through common phase error (CPE, correctable) and inter-carrier interference (ICI, residual). The Lorentzian model gives , showing that ICI improves linearly with subcarrier spacing. This is a primary motivation for wider SCS at mmWave frequencies in 5G NR.
- 5.
Hybrid beamforming factors the precoder as with RF chains. The OMP algorithm exploits mmWave channel sparsity to design the analog precoder. With RF chains and sparse channels, hybrid beamforming closely approaches fully digital performance while reducing RF power by 50--75%.
Looking Ahead
Chapter 24 applies these hardware considerations to concrete cellular standards β LTE and 5G NR β showing how the physical layer parameters (numerology, frame structure, MIMO modes) are shaped by the RF constraints studied here. The beam management framework in NR, for instance, is a direct response to the analog beamforming constraints of mmWave hybrid arrays.