Performance Analysis of Distributed Beamforming With Random Phase Offsets

In this paper, we investigate a wireless network where multiple distributed transmitters adjust the phases of their signals so that they can be constructively added at an intended receiver (client). Unlike conventional beamforming with co-located and phase-synchronized antennas, geographically separated transmitters may have phase offsets induced by individual local carrier oscillators, that pose a challenge for coherent distributed beamforming. This is especially true for transmitters that are far apart, when distributed clock synchronization protocols may be more difficult to implement. There may also be a desired spatial repulsion among the positions of the transmitters in order to mitigate mutual coupling effects and extend the coverage region. In this regard, we analyze the performance of distributed beamforming with phase offsets by modeling the spatial distribution of the transmitters as a $\beta$-Ginibre point process that models the repulsive behavior. We consider two transmission strategies: (i) Transmitter selection in which the client chooses the transmitter providing the highest received power at the client, and (ii) Coherent beamforming in which multiple transmitters simultaneously send their signals to the client. From numerical simulations, we examine the impact of the phase offsets on the performance and confirm the accuracy of our analysis. It is shown that even with significant phase offset errors, employing coherent beamforming can be an effective strategy.

[1]  Pingzhi Fan,et al.  Performance Analysis of Cloud Radio Access Networks With Uniformly Distributed Base Stations , 2016, IEEE Transactions on Vehicular Technology.

[2]  A. M. Cohen Numerical Methods for Laplace Transform Inversion , 2007 .

[3]  H. Vincent Poor,et al.  Collaborative beamforming for distributed wireless ad hoc sensor networks , 2005, IEEE Transactions on Signal Processing.

[4]  Martin Haenggi,et al.  Stochastic Geometry for Wireless Networks , 2012 .

[5]  Jeffrey G. Andrews,et al.  Downlink performance and capacity of distributed antenna systems in a multicell environment , 2007, IEEE Transactions on Wireless Communications.

[6]  Pei-Jung Chung,et al.  PROBABILITY OF ERROR FOR BPSK MODULATION IN DISTRIBUTED BEAMFORMING WITH PHASE ERRORS , 2009 .

[7]  Sabit Ekin,et al.  Uplink achievable rate in underlay random access OFDM-based cognitive radio networks , 2019, EURASIP J. Wirel. Commun. Netw..

[8]  Raghuraman Mudumbai,et al.  On the Feasibility of Distributed Beamforming in Wireless Networks , 2007, IEEE Transactions on Wireless Communications.

[9]  Yu Cheng,et al.  Physical Layer Security in Wireless Networks With Ginibre Point Processes , 2018, IEEE Transactions on Wireless Communications.

[10]  Wuyang Zhou,et al.  The Ginibre Point Process as a Model for Wireless Networks With Repulsion , 2014, IEEE Transactions on Wireless Communications.

[11]  Raghuraman Mudumbai,et al.  Distributed Transmit Beamforming Using Feedback Control , 2006, IEEE Transactions on Information Theory.

[12]  Jeffrey G. Andrews,et al.  A Tractable Approach to Coverage and Rate in Cellular Networks , 2010, IEEE Transactions on Communications.

[13]  Ekram Hossain,et al.  Cognitive and Energy Harvesting-Based D2D Communication in Cellular Networks: Stochastic Geometry Modeling and Analysis , 2014, IEEE Transactions on Communications.

[14]  Mohamed-Slim Alouini,et al.  Modeling and Analysis of Cellular Networks Using Stochastic Geometry: A Tutorial , 2016, IEEE Communications Surveys & Tutorials.

[15]  H. Vincent Poor,et al.  Distributed transmit beamforming: challenges and recent progress , 2009, IEEE Communications Magazine.

[16]  Andrew L. Goldman The Palm measure and the Voronoi tessellation for the Ginibre process , 2006, math/0610243.

[17]  Chee Yen Leow,et al.  Distributed and Collaborative Beamforming in Wireless Sensor Networks: Classifications, Trends, and Research Directions , 2017, IEEE Communications Surveys & Tutorials.

[18]  Erchin Serpedin,et al.  Energy Efficient Optimization of Base Station Intensities for Hybrid RF/VLC Networks , 2019, IEEE Transactions on Wireless Communications.

[19]  H. Vincent Poor,et al.  The Use of Spatially Random Base Stations in Cloud Radio Access Networks , 2013, IEEE Signal Processing Letters.

[20]  Pei-Jung Chung,et al.  Exploiting Negative Feedback Information for One-Bit Feedback Beamforming Algorithm , 2012, IEEE Transactions on Wireless Communications.

[21]  Pei-Jung Chung,et al.  BER Analysis for Distributed Beamforming With Phase Errors , 2010, IEEE Transactions on Vehicular Technology.

[22]  Inkyu Lee,et al.  Optimal Beamforming Schemes and its Capacity Behavior for Downlink Distributed Antenna Systems , 2013, IEEE Transactions on Wireless Communications.