What Is a Phased Array?
A phased array is a group of antenna elements whose relative excitation phases—and often amplitudes—are controlled so that their electromagnetic fields combine into a desired spatial pattern. The array can strengthen radiation toward a target, suppress selected directions, scan a beam electronically, or focus energy at a near-field point without mechanically rotating the antenna.
For a first mental picture, imagine several people pushing the same swing. If everyone pushes at the correct point in the swing's cycle, the motion becomes stronger. If some push while others oppose the motion, part of the effort cancels. Radio waves behave similarly:
- phase says where a wave is within its repeating cycle;
- in phase means peaks and troughs arrive together and reinforce;
- out of phase means they arrive at different parts of the cycle and add less effectively.
A phased array controls this timing electronically. It cannot change the geometric distance between an element and the target, but it can start or rotate each element's wave so that unequal journeys finish at the target in the same phase.
The word phased refers to controlled relative phase. A collection of antennas is not automatically a useful phased array: the elements need a known geometry, a coherent frequency reference, controllable excitation or combining weights, and adequate calibration.
The complex weight applied to element is
where sets amplitude and sets phase. Phase controls where contributions align; amplitude tapering controls the trade-off between main-lobe width and sidelobe level.
References for this section3
- R. J. Mailloux, Phased Array Antenna Handbook, 3rd ed., Artech House, 2017.
- H. L. Van Trees, Optimum Array Processing, Wiley, 2002.
- M. Di Renzo et al., "Smart Radio Environments Empowered by Reconfigurable Intelligent Surfaces", IEEE Journal on Selected Areas in Communications, vol. 38, no. 11, pp. 2450–2525, 2020.
The Building Blocks
A practical phased-array system normally contains:
| Block | Purpose |
|---|---|
| Antenna elements | Convert guided RF signals to radiated fields, or the reverse |
| Reference oscillator | Keeps RF channels coherent at a common carrier frequency |
| Phase shifters or time-delay units | Set relative element phase or delay |
| Gain control | Applies amplitude tapering and corrects channel mismatch |
| Feed or combining network | Distributes transmit power or combines received signals |
| RF chains and converters | Connect analogue RF signals to digital baseband |
| Beam controller | Calculates weights for a direction, user, null, or focal point |
| Calibration system | Measures and corrects phase, gain, coupling, and hardware drift |
Element spacing is commonly near to support wide angular scanning without grating lobes. The final value depends on scan range, element pattern, mutual coupling, bandwidth, packaging, and platform constraints.
References for this section3
- C. A. Balanis, Antenna Theory: Analysis and Design, 4th ed., Wiley, 2016.
- H. L. Van Trees, Optimum Array Processing, Wiley, 2002.
- S. Kutty and D. Sen, "Beamforming for Millimeter Wave Communications: An Inclusive Survey", IEEE Communications Surveys & Tutorials, vol. 18, no. 2, pp. 949–973, 2016.
First Decide What Kind of Array We Mean
Three related systems are often described with similar beamforming language:
- Active transmit phased array: one transmitter or baseband signal is divided into RF branches. Each branch receives a controlled phase and amplitude before its antenna element radiates.
- Receive phased array: an external transmitter's wave reaches several receive elements. Their electrical outputs are phase-corrected and added inside the receiver.
- Reflecting array or RIS: an external transmitter illuminates controllable cells. Each cell changes the phase of the incident field and re-radiates or reflects it toward a desired point.
If the picture is Tx → array surface → target, the clearest basic model is the third case. The array is acting as a controlled reflector. A conventional passive metallic reflector also re-radiates an incident wave, but an RIS or reflectarray deliberately changes the cell phases to choose where the reflected contributions meet.
References for this section3
- H. L. Van Trees, Optimum Array Processing, Wiley, 2002.
- S. Kutty and D. Sen, "Beamforming for Millimeter Wave Communications: An Inclusive Survey", IEEE Communications Surveys & Tutorials, vol. 18, no. 2, pp. 949–973, 2016.
- C. A. Balanis, Antenna Theory: Analysis and Design, 4th ed., Wiley, 2016.
Beginner Geometry: Tx, Three Cells, and One Target Point
Let the transmitter be at , three controllable cells be at , , and , and the desired point be . For cell :
- is the incident distance from Tx to the cell;
- is the outgoing distance from the cell to the target;
- is the complete Tx–cell–target path.
The carrier accumulates propagation phase as it travels. Using the convention , the contribution through cell arrives at with phase
where is the controllable phase applied by the cell. Without control, unequal values normally produce unequal arrival phases, so the waves add only partly and may even cancel.
Choose a reference path . Setting
gives
for every cell. All contributions then reach with the same phase.
References for this section3
- H. L. Van Trees, Optimum Array Processing, Wiley, 2002.
- C. A. Balanis, Antenna Theory: Analysis and Design, 4th ed., Wiley, 2016.
- S. Kutty and D. Sen, "Beamforming for Millimeter Wave Communications: An Inclusive Survey", IEEE Communications Surveys & Tutorials, vol. 18, no. 2, pp. 949–973, 2016.
Tx-to-Array Focusing, Step by Step
References for this section3
- H. L. Van Trees, Optimum Array Processing, Wiley, 2002.
- C. A. Balanis, Antenna Theory: Analysis and Design, 4th ed., Wiley, 2016.
- S. Kutty and D. Sen, "Beamforming for Millimeter Wave Communications: An Inclusive Survey", IEEE Communications Surveys & Tutorials, vol. 18, no. 2, pp. 949–973, 2016.
Step 1: One Wave Leaves the Tx
The transmitter creates one carrier waveform. It spreads through space and reaches the three cells. Because , , and are different, the carrier is generally at a different phase when it reaches each cell.
References for this section3
- S. Kutty and D. Sen, "Beamforming for Millimeter Wave Communications: An Inclusive Survey", IEEE Communications Surveys & Tutorials, vol. 18, no. 2, pp. 949–973, 2016.
- C. A. Balanis, Antenna Theory: Analysis and Design, 4th ed., Wiley, 2016.
- H. L. Van Trees, Optimum Array Processing, Wiley, 2002.
Step 2: Each Cell Has a Different Complete Path
The controller does not compare only Tx-to-cell distance. It includes the remaining cell-to-target distance:
The cell with the longest complete path accumulates the greatest propagation phase lag before reaching .
References for this section3
- C. A. Balanis, Antenna Theory: Analysis and Design, 4th ed., Wiley, 2016.
- H. L. Van Trees, Optimum Array Processing, Wiley, 2002.
- S. Kutty and D. Sen, "Beamforming for Millimeter Wave Communications: An Inclusive Survey", IEEE Communications Surveys & Tutorials, vol. 18, no. 2, pp. 949–973, 2016.
Step 3: Apply an Individual Phase Correction
The surface adds , , and . These phase shifts do not shorten or lengthen the geometric paths. They rotate the cells' local RF phases so that the unequal propagation phases are compensated at the selected target.
As a small example, let and suppose the complete paths relative to cell 0 are
The compensating phase settings are
The exact signs depend on the time and phase convention. The physical test is unambiguous: after propagation and cell control, the final phases at must match.
References for this section3
- M. Di Renzo et al., "Smart Radio Environments Empowered by Reconfigurable Intelligent Surfaces", IEEE Journal on Selected Areas in Communications, vol. 38, no. 11, pp. 2450–2525, 2020.
- C. A. Balanis, Antenna Theory: Analysis and Design, 4th ed., Wiley, 2016.
- H. L. Van Trees, Optimum Array Processing, Wiley, 2002.
Step 4: The Waves Meet at the Target
At , the aligned electric-field amplitudes add. If three equal contributions each have complex amplitude , their coherent sum is
whereas arbitrary phases produce a smaller magnitude
The equality occurs only when the three phases are aligned. At other points, the outgoing path lengths differ from the design values, so the same cell settings no longer align perfectly. That spatial change creates the focused beam pattern.
References for this section3
- C. A. Balanis, Antenna Theory: Analysis and Design, 4th ed., Wiley, 2016.
- H. L. Van Trees, Optimum Array Processing, Wiley, 2002.
- S. Kutty and D. Sen, "Beamforming for Millimeter Wave Communications: An Inclusive Survey", IEEE Communications Surveys & Tutorials, vol. 18, no. 2, pp. 949–973, 2016.
Blocked Tx–UE Link: A Horizontal Three-Element Example
Now consider the exact layout in the following diagram:
- three controllable elements lie on the horizontal -axis;
- adjacent elements are separated by ;
- the Tx is above and to the left;
- the UE is above and to the right;
- an obstacle blocks the direct Tx-to-UE path;
- the lower surface creates a two-hop Tx–array–UE link.
This is a RIS or reflecting phased-array configuration. The ordinary direct signal cannot reach the UE, so the useful field must travel from Tx to the surface and then from the surface to the UE.
References for this section3
- H. L. Van Trees, Optimum Array Processing, Wiley, 2002.
- S. Kutty and D. Sen, "Beamforming for Millimeter Wave Communications: An Inclusive Survey", IEEE Communications Surveys & Tutorials, vol. 18, no. 2, pp. 949–973, 2016.
- C. A. Balanis, Antenna Theory: Analysis and Design, 4th ed., Wiley, 2016.
Step 1: Define the Coordinates
Measure every coordinate in wavelengths. Choose
so the adjacent spacing is . For an illustrative asymmetric geometry, let
The exact numbers are chosen only to make the calculation concrete; the same method works for measured coordinates in metres.
References for this section3
- C. A. Balanis, Antenna Theory: Analysis and Design, 4th ed., Wiley, 2016.
- H. L. Van Trees, Optimum Array Processing, Wiley, 2002.
- S. Kutty and D. Sen, "Beamforming for Millimeter Wave Communications: An Inclusive Survey", IEEE Communications Surveys & Tutorials, vol. 18, no. 2, pp. 949–973, 2016.
Step 2: Calculate Both Parts of Every Route
For element at ,
is the Tx-to-element distance, and
is the element-to-UE distance. The complete reflected route is
For the coordinates above:
| Element | Incident | Outgoing | Total | |
|---|---|---|---|---|
Notice that element is closer to the Tx than , but farther from the UE. The controller must use the sum of both distances; choosing the closest element to only the Tx or only the UE is insufficient.
References for this section3
- C. A. Balanis, Antenna Theory: Analysis and Design, 4th ed., Wiley, 2016.
- H. L. Van Trees, Optimum Array Processing, Wiley, 2002.
- S. Kutty and D. Sen, "Beamforming for Millimeter Wave Communications: An Inclusive Survey", IEEE Communications Surveys & Tutorials, vol. 18, no. 2, pp. 949–973, 2016.
Step 3: See Why the Uncontrolled Reflections Do Not Align
Without programmable phase control, set . The contribution arriving through element has phase
Only the fractional part of affects phase, because every complete wavelength contributes and returns to the same phase. Relative to the centre-element path , the path differences are
These unequal fractions correspond to unequal propagation phases, so the three reflected waves do not naturally peak together at the UE.
References for this section3
- C. A. Balanis, Antenna Theory: Analysis and Design, 4th ed., Wiley, 2016.
- H. L. Van Trees, Optimum Array Processing, Wiley, 2002.
- S. Kutty and D. Sen, "Beamforming for Millimeter Wave Communications: An Inclusive Survey", IEEE Communications Surveys & Tutorials, vol. 18, no. 2, pp. 949–973, 2016.
Step 4: Program the Three Element Phases
Use as the reference path and apply
The required phase settings are approximately
| Element | Relative path | Programmed phase |
|---|---|---|
| , equivalent to |
After applying these settings,
for all three elements. The element paths remain physically unequal, but their final phases at the UE become equal.
References for this section3
- C. A. Balanis, Antenna Theory: Analysis and Design, 4th ed., Wiley, 2016.
- H. L. Van Trees, Optimum Array Processing, Wiley, 2002.
- S. Kutty and D. Sen, "Beamforming for Millimeter Wave Communications: An Inclusive Survey", IEEE Communications Surveys & Tutorials, vol. 18, no. 2, pp. 949–973, 2016.
Step 5: Add the Three Contributions at the UE
Including path-dependent amplitude, an illustrative received field is
where represents the reflection amplitude of element . Phase programming aligns the exponential terms. The factors and need not be equal, so coherent phase does not imply identical amplitude from every route.
The obstacle still blocks the straight line. The array does not remove the obstacle; it creates a controlled alternative path around it. If the UE moves, every changes, so the old phase profile is no longer optimal and the surface must calculate or learn a new one.
References for this section3
- H. L. Van Trees, Optimum Array Processing, Wiley, 2002.
- C. A. Balanis, Antenna Theory: Analysis and Design, 4th ed., Wiley, 2016.
- S. Kutty and D. Sen, "Beamforming for Millimeter Wave Communications: An Inclusive Survey", IEEE Communications Surveys & Tutorials, vol. 18, no. 2, pp. 949–973, 2016.
How Fields from Several Elements Combine
Now return to an active transmit phased array. Here the transmitter feeds each element through a controlled RF branch instead of illuminating a reflecting surface. Assume the th element transmits a narrowband signal with weight . At a target point , its propagation distance is . Ignoring polarization and element-pattern factors for the moment, the received complex field is
Maximum coherent addition occurs when every element has the same final phase at the target:
One valid transmit-phase choice is therefore
where is any chosen reference distance. The controller does not make the physical paths equal. It introduces phase offsets that compensate for unequal path lengths at the design point.
References for this section3
- C. A. Balanis, Antenna Theory: Analysis and Design, 4th ed., Wiley, 2016.
- H. L. Van Trees, Optimum Array Processing, Wiley, 2002.
- S. Kutty and D. Sen, "Beamforming for Millimeter Wave Communications: An Inclusive Survey", IEEE Communications Surveys & Tutorials, vol. 18, no. 2, pp. 949–973, 2016.
A Two-Element Array, Step by Step
Consider two identical elements separated by .
- Equal phase: with , waves reinforce most strongly where the propagation paths are equal, producing a broadside maximum for a symmetric array.
- Off-axis target: toward angle , the paths differ approximately by in the far field.
- Phase compensation: the feed network applies the opposite propagation-phase difference so both signals arrive aligned.
The required progressive phase is
References for this section3
- H. L. Van Trees, Optimum Array Processing, Wiley, 2002.
- C. A. Balanis, Antenna Theory: Analysis and Design, 4th ed., Wiley, 2016.
- R. J. Mailloux, Phased Array Antenna Handbook, 3rd ed., Artech House, 2017.
A Three-Element Numerical Example
Let three elements lie at with , and steer toward . The adjacent path difference is
so the progressive phase is
A suitable phase sequence is
Adding the same constant phase to all three entries does not change the beam direction because only relative phase matters. Reversing the sign convention or the array axis reverses the phase progression, so diagrams and software must define both explicitly.
References for this section3
- H. L. Van Trees, Optimum Array Processing, Wiley, 2002.
- C. A. Balanis, Antenna Theory: Analysis and Design, 4th ed., Wiley, 2016.
- S. Kutty and D. Sen, "Beamforming for Millimeter Wave Communications: An Inclusive Survey", IEEE Communications Surveys & Tutorials, vol. 18, no. 2, pp. 949–973, 2016.
How Distance and Phase Are Balanced
There are two related design cases.
References for this section3
- C. A. Balanis, Antenna Theory: Analysis and Design, 4th ed., Wiley, 2016.
- H. L. Van Trees, Optimum Array Processing, Wiley, 2002.
- S. Kutty and D. Sen, "Beamforming for Millimeter Wave Communications: An Inclusive Survey", IEEE Communications Surveys & Tutorials, vol. 18, no. 2, pp. 949–973, 2016.
Far-Field Steering: Balance by Direction
For a linear array, the far-field distance to element is approximated by
The common distance disappears from relative phase. The weight depends on angle:
Every point sufficiently far away along the same direction has approximately the same normalized steering vector. The array forms an angular beam whose ideal focus is effectively at infinity.
References for this section3
- H. L. Van Trees, Optimum Array Processing, Wiley, 2002.
- C. A. Balanis, Antenna Theory: Analysis and Design, 4th ed., Wiley, 2016.
- S. Kutty and D. Sen, "Beamforming for Millimeter Wave Communications: An Inclusive Survey", IEEE Communications Surveys & Tutorials, vol. 18, no. 2, pp. 949–973, 2016.
Near-Field Focusing: Balance by Distance and Direction
For a focal point , retain each exact distance:
and apply
The resulting spherical phase profile can align the waves at one range–angle point. A user at the same angle but a different range sees residual phase error and a smaller coherent sum.
Amplitude can also be balanced. If element-to-target distances differ substantially, may compensate for relative spreading or implement a desired taper. In practice, strict amplitude inversion can demand excessive power and amplify model error, so constrained optimization is normally preferable.
References for this section3
- H. L. Van Trees, Optimum Array Processing, Wiley, 2002.
- C. A. Balanis, Antenna Theory: Analysis and Design, 4th ed., Wiley, 2016.
- S. Kutty and D. Sen, "Beamforming for Millimeter Wave Communications: An Inclusive Survey", IEEE Communications Surveys & Tutorials, vol. 18, no. 2, pp. 949–973, 2016.
Transmit and Receive Operation
On transmit, the array applies weights before radiation and the fields combine in space. On receive, each element observes a different phase and amplitude; the receiver applies combining weights so a desired direction or focal point adds coherently.
For a reciprocal calibrated channel, the spatial signature used for receive combining is closely related to the conjugate transmit weight. Hardware reciprocity is imperfect, so transmit and receive RF chains may require separate calibration even when propagation itself is reciprocal.
References for this section3
- H. L. Van Trees, Optimum Array Processing, Wiley, 2002.
- C. A. Balanis, Antenna Theory: Analysis and Design, 4th ed., Wiley, 2016.
- S. Kutty and D. Sen, "Beamforming for Millimeter Wave Communications: An Inclusive Survey", IEEE Communications Surveys & Tutorials, vol. 18, no. 2, pp. 949–973, 2016.
Analogue, Digital, and Hybrid Architectures
| Architecture | Control | Main strength | Main limitation |
|---|---|---|---|
| Analogue | One or few RF chains feeding phase shifters | Low converter count and power | Usually one/few beams; phase-only and beam-squint constraints |
| Digital | One RF chain and converter path per element | Flexible multi-beam, multi-user, and frequency-dependent processing | High cost, data rate, and power consumption |
| Hybrid | Digital precoder plus analogue phase network | Compromise between flexibility and RF complexity | Joint design, calibration, and hardware constraints |
True-time-delay arrays replace frequency-independent phase shifts with physical or synthesized delays. They reduce beam squint over wide bandwidth but increase hardware complexity, insertion loss, and cost.
References for this section3
- C. A. Balanis, Antenna Theory: Analysis and Design, 4th ed., Wiley, 2016.
- H. L. Van Trees, Optimum Array Processing, Wiley, 2002.
- S. Kutty and D. Sen, "Beamforming for Millimeter Wave Communications: An Inclusive Survey", IEEE Communications Surveys & Tutorials, vol. 18, no. 2, pp. 949–973, 2016.
Phased Array Is Not the Same as MIMO
A phased array describes coherent spatial weighting across antenna elements. MIMO describes a system with multiple signal inputs and outputs. A 64-element analogue phased array driven by one RF chain can produce a narrow beam but carry only one baseband stream. A fully digital or hybrid array with several independent RF dimensions can support both phased-array beamforming and MIMO spatial multiplexing.
References for this section3
- R. J. Mailloux, Phased Array Antenna Handbook, 3rd ed., Artech House, 2017.
- H. L. Van Trees, Optimum Array Processing, Wiley, 2002.
- C. A. Balanis, Antenna Theory: Analysis and Design, 4th ed., Wiley, 2016.
How Phased-Array Principles Are Used in RIS
A reconfigurable intelligent surface does not normally generate an independent RF waveform at each cell. Instead, each cell applies a programmable complex reflection or transmission coefficient
to an incident field. If is the distance from the base station to cell and is the distance from that cell to the user, the total propagation phase is associated with . A focusing profile satisfies
so reflected contributions align at the user.
The analogy is useful but not exact:
| Active phased array | RIS |
|---|---|
| Elements are actively excited or connected to receive chains | Cells usually modify an incident wave passively or semi-passively |
| Transmit power is supplied through RF chains and amplifiers | Passive RIS cannot create net RF power |
| Complex weights may offer detailed amplitude and phase control | Phase states are often quantized and amplitude depends on state |
| Direct channel sensing may be available per RF chain | Channel estimation is harder when cells lack receive chains |
| One propagation path from array to user | Cascaded transmitter–RIS and RIS–user paths |
References for this section3
- H. L. Van Trees, Optimum Array Processing, Wiley, 2002.
- R. J. Mailloux, Phased Array Antenna Handbook, 3rd ed., Artech House, 2017.
- E. Basar et al., "Wireless Communications Through Reconfigurable Intelligent Surfaces", IEEE Access, vol. 7, pp. 116753–116773, 2019.
Advantages
- Electronic steering: rapid scanning without mechanical motion.
- Array gain: coherent combination improves link budget in the selected direction.
- Spatial selectivity: narrow beams and nulls can reduce interference.
- Multi-function operation: digital arrays can support communication, sensing, localization, and several users.
- Low-profile integration: planar arrays fit base stations, vehicles, aircraft, satellites, and compact radar panels.
- Near-field focusing: large electrical apertures can control energy in both range and angle.
References for this section3
- H. L. Van Trees, Optimum Array Processing, Wiley, 2002.
- M. Di Renzo et al., "Smart Radio Environments Empowered by Reconfigurable Intelligent Surfaces", IEEE Journal on Selected Areas in Communications, vol. 38, no. 11, pp. 2450–2525, 2020.
- C. A. Balanis, Antenna Theory: Analysis and Design, 4th ed., Wiley, 2016.
Limitations and Failure Modes
- Cost and power: many RF chains, converters, amplifiers, or phase shifters increase hardware demand.
- Calibration: phase and gain errors reduce coherent gain and shift the beam.
- Mutual coupling: neighbouring elements alter impedance and embedded element patterns.
- Grating lobes: excessive spacing produces unwanted beams during scanning.
- Sidelobes: finite apertures radiate energy outside the main beam.
- Beam squint: fixed phase shifts steer different frequencies toward different angles.
- Scan loss: element patterns and projected aperture reduce gain at large scan angles.
- Quantization: limited phase states approximate the desired weight profile.
- Thermal and manufacturing variation: responses drift across elements and time.
- Blockage and model error: a correctly calculated line-of-sight beam can fail when the environment changes.
References for this section3
- C. A. Balanis, Antenna Theory: Analysis and Design, 4th ed., Wiley, 2016.
- H. L. Van Trees, Optimum Array Processing, Wiley, 2002.
- S. Kutty and D. Sen, "Beamforming for Millimeter Wave Communications: An Inclusive Survey", IEEE Communications Surveys & Tutorials, vol. 18, no. 2, pp. 949–973, 2016.
Applications
- 5G/6G base stations and mmWave access points;
- satellite terminals and electronically steered antennas;
- automotive, aviation, weather, and defence radar;
- radio astronomy and interferometric sensing;
- indoor positioning, localization, and channel sounding;
- medical imaging and non-contact monitoring;
- wireless power transfer and near-field energy focusing;
- RIS-assisted coverage, localization, and integrated sensing and communication.
References for this section3
- E. Basar et al., "Wireless Communications Through Reconfigurable Intelligent Surfaces", IEEE Access, vol. 7, pp. 116753–116773, 2019.
- M. Di Renzo et al., "Smart Radio Environments Empowered by Reconfigurable Intelligent Surfaces", IEEE Journal on Selected Areas in Communications, vol. 38, no. 11, pp. 2450–2525, 2020.
- C. A. Balanis, Antenna Theory: Analysis and Design, 4th ed., Wiley, 2016.
Practical Design Checklist
Before calculating phase weights, state:
- carrier frequency, bandwidth, and wavelength;
- array geometry, element coordinates, patterns, and polarization;
- spacing and intended scan sector;
- far-field steering or near-field focusing model;
- phase convention and transmit/receive direction;
- available RF chains, phase resolution, amplitude range, and power constraint;
- calibration method and acceptable phase error;
- channel-estimation and beam-training overhead;
- performance metric: gain, sidelobe level, SINR, localization error, or energy efficiency.
References for this section3
- C. A. Balanis, Antenna Theory: Analysis and Design, 4th ed., Wiley, 2016.
- H. L. Van Trees, Optimum Array Processing, Wiley, 2002.
- S. Kutty and D. Sen, "Beamforming for Millimeter Wave Communications: An Inclusive Survey", IEEE Communications Surveys & Tutorials, vol. 18, no. 2, pp. 949–973, 2016.
Takeaway
A phased array shapes space by controlling relative element phase and amplitude. Path lengths determine the propagation phase; the array applies compensating weights so fields align at a chosen direction or focal point. Active arrays generate or receive signals through RF hardware, while RIS cells apply the same phase-alignment principle to an incident wave over a cascaded path. Geometry, bandwidth, calibration, hardware architecture, and channel knowledge determine how much theoretical array gain survives in practice.
References for this section3
- H. L. Van Trees, Optimum Array Processing, Wiley, 2002.
- S. Kutty and D. Sen, "Beamforming for Millimeter Wave Communications: An Inclusive Survey", IEEE Communications Surveys & Tutorials, vol. 18, no. 2, pp. 949–973, 2016.
- C. A. Balanis, Antenna Theory: Analysis and Design, 4th ed., Wiley, 2016.
Complete references and further reading
- C. A. Balanis, Antenna Theory: Analysis and Design, 4th ed., Wiley, 2016.
- R. J. Mailloux, Phased Array Antenna Handbook, 3rd ed., Artech House, 2017.
- H. L. Van Trees, Optimum Array Processing, Wiley, 2002.
- S. Kutty and D. Sen, "Beamforming for Millimeter Wave Communications: An Inclusive Survey", IEEE Communications Surveys & Tutorials, vol. 18, no. 2, pp. 949–973, 2016.
- E. Basar et al., "Wireless Communications Through Reconfigurable Intelligent Surfaces", IEEE Access, vol. 7, pp. 116753–116773, 2019.
- M. Di Renzo et al., "Smart Radio Environments Empowered by Reconfigurable Intelligent Surfaces", IEEE Journal on Selected Areas in Communications, vol. 38, no. 11, pp. 2450–2525, 2020.