Preface	6
	Contents	8
	Acronyms	11
	1 Introduction	13
	1.1 Full-Duplex Wireless Systems	13
	1.2 SI-Cancellation Techniques	15
	1.2.1 Antenna SI-Cancellation Techniques	16
	1.2.2 RF SI-Cancellation Techniques	16
	1.2.3 Baseband SI-Cancellation Techniques	17
	1.3 Applications of Full-Duplex Communications	18
	1.4 Book Organization	20
	References	22
	2 Self-Interference-Cancellation in Full-Duplex Systems	24
	2.1 SI Channel Modelling	24
	2.2 Analog RF Cancellation Stage	25
	2.3 Digital SI-Cancellation	26
	2.4 Channel Estimation in Full-Duplex Systems	27
	2.5 Effect of Transmitter Impairments in SI-Cancellation	29
	2.6 Cancellation of Nonlinear Distortions	30
	2.7 Spatial Cancellation	32
	2.8 Chapter Summary	34
	References	34
	3 Limiting Factors in Self-Interference Cancellation	37
	3.1 System Model and SI-Cancellation Architectures	38
	3.1.1 Complex-Baseband Signal Representation	41
	3.1.2 Residual SI Due to Phase Noise	44
	3.1.3 Quantization and Clipping Noise from ADC	44
	3.1.4 Transceiver Impairments and Noise	46
	3.1.5 Auxiliary Component-Induced Impairments	47
	3.1.6 Baseband SI-Cancellation	48
	3.2 Performance Evaluation: Illustrative Results	49
	3.2.1 System Specifications	49
	3.2.1.1 SI Channel Modelling	49
	3.2.1.2 Transceiver Parameters	50
	3.2.2 Residual Self-Interference After RF Cancellation Stage	50
	3.2.2.1 Quantization Noise	52
	3.2.2.2 Limiting Behaviour of the RF Cancellation Stage	54
	3.2.3 Residual SI After the Baseband SI-Cancellation Stage	55
	3.3 Conclusion	58
	Appendix	58
	References	59
	4 Self-Interference Channel Estimation and Cancellation Using Compressed-Sensing and Subspace Approaches	61
	4.1 Full-Duplex System Model	62
	4.2 Compressed-Sensing-Based RF Cancellation Stage	66
	4.3 Subspace-Based Baseband Cancellation Stage	70
	4.3.1 Subspace-Based Technique	72
	4.3.2 Resolving the Ambiguity Matrix C	75
	4.4 Illustrative Results	79
	4.5 Chapter Summary	85
	Appendix: Proof of (4.60)	86
	References	88
	5 Widely-Linear Subspace-Based Self-Interference-Cancellation	90
	5.1 Widely-Linear Channel Estimator	91
	5.1.1 Real-Modulated Symbols	92
	5.1.2 Complex-Modulated Symbols	94
	5.1.3 Subspace-Based Algorithm	95
	5.2 Resolving the Ambiguity Term	98
	5.3 Simulation Results	103
	5.4 Chapter Summary	111
	References	111
	6 Maximum Likelihood Self-Interference Cancellation	113
	6.1 System Model	114
	6.2 ML Estimator	116
	6.2.1 Closed-Form Solution	117
	6.2.2 Iterative ML Estimator	119
	6.3 Phase Noise Suppression	121
	6.4 Simulation Results	125
	6.4.1 Performance in the Absence of Phase Noise	125
	6.4.2 Performance in the Presence of Phase Noise	130
	6.4.3 Simulink Platform	131
	6.5 Chapter Summary	132
	Appendix 1: Proof of limT ?? R0K0I0d"0365 RR0K0I0d"0365 RR0K0I0d"0365 RR0K0I0d"0365 R = R	133
	Appendix 2: Covariance Matrix R0K0I0d"0365 RR0K0I0d"0365 RR0K0I0d"0365 RR0K0I0d"0365 Rpn	137
	Appendix 3: Proof of Convergence	139
	Appendix 4: Stochastic CRB	140
	References	141
	7 Active Signal Injection for Self-Interference-Cancellation	142
	7.1 Novel Active Signal Injection for SI-Cancellation	144
	7.2 Tone Reservation for SI-Cancellation	145
	7.3 Constellation Relaxation for SI-Cancellation	150
	7.4 Combination of Both Methods	155
	7.5 Simulation Results	155
	7.6 Chapter Summary	162
	Appendix 1: Development of the Cost Function for the Tone Reservation Method	163
	Appendix 2: On the Invertibility of the Matrix M	165
	References	166
	8 Conclusions and Future Work	167
	8.1 Concluding Remarks	167
	8.2 Future Work	169