TY - JOUR
T1 - Efficient spectrum access and co-existence with receiver nonlinearity
T2 - Frameworks and algorithms
AU - Padaki, Aditya V.
AU - Tandon, Ravi
AU - Reed, Jeffrey H.
N1 - Funding Information:
Manuscript received July 19, 2017; revised March 15, 2018 and July 11, 2018; accepted July 12, 2018. Date of publication August 1, 2018; date of current version October 9, 2018. This work was supported in part by the National Science Foundation under Grant CNS NeTS 1564148. The work of R. Tandon was supported by U.S. NSF under Grant CCF 1559758 and Grant CNS 1715947. This paper was published in part at the IEEE GLOBECOM, San Diego, CA, USA, December 2015 [26]. The associate editor coordinating the review of this paper and approving it for publication was T. G. Pratt. (Corresponding author: Aditya V. Padaki.) A. V. Padaki was with Wireless@Virginia Tech, Bradley Department of Electrical and Computer Engineering, Virginia Tech, Blacksburg, VA 24061 USA. He is now with Samsung Research America, Richardson, TX USA (e-mail: [email protected]).
Publisher Copyright:
© 2002-2012 IEEE.
PY - 2018/10
Y1 - 2018/10
N2 - Radio frequency (RF) front-end nonlinearity significantly impairs receiver performance in non-intuitive ways. Receivers are susceptible to harmful adjacent channel interference, especially in next-generation networks with diverse radio access technologies, co-existing in space, time, and frequency. Vulnerabilities of receiver front-ends can have a severe detrimental effect on network performance and spectrum co-existence. In this paper, we propose centralized controller-based receiver-centric framework for spectrum access that accounts for receiver front-end nonlinearity, pre-selector filter bandwidth, and transmitter out-of-band emission characteristics for networks with diverse RF-layer characteristics. Furthermore, we propose computationally efficient algorithms to optimize the receiver-centric framework and examine network level performance. We demonstrate through extensive network simulations that the proposed receiver-centric framework provides substantially higher spectrum efficiency gains over receiver-agnostic spectrum access and improves co-existence in dense and diverse next-generation wireless networks. We further demonstrate through simulations that the proposed algorithms achieve close to optimal solutions for receiver-centric network optimization.
AB - Radio frequency (RF) front-end nonlinearity significantly impairs receiver performance in non-intuitive ways. Receivers are susceptible to harmful adjacent channel interference, especially in next-generation networks with diverse radio access technologies, co-existing in space, time, and frequency. Vulnerabilities of receiver front-ends can have a severe detrimental effect on network performance and spectrum co-existence. In this paper, we propose centralized controller-based receiver-centric framework for spectrum access that accounts for receiver front-end nonlinearity, pre-selector filter bandwidth, and transmitter out-of-band emission characteristics for networks with diverse RF-layer characteristics. Furthermore, we propose computationally efficient algorithms to optimize the receiver-centric framework and examine network level performance. We demonstrate through extensive network simulations that the proposed receiver-centric framework provides substantially higher spectrum efficiency gains over receiver-agnostic spectrum access and improves co-existence in dense and diverse next-generation wireless networks. We further demonstrate through simulations that the proposed algorithms achieve close to optimal solutions for receiver-centric network optimization.
KW - 5G
KW - adjacent channel interference
KW - co-existence
KW - intermodulation
KW - network optimization
KW - Receiver nonlinearity
KW - RF front-end
KW - spectrum sharing
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U2 - 10.1109/TWC.2018.2859416
DO - 10.1109/TWC.2018.2859416
M3 - Article
AN - SCOPUS:85050961896
SN - 1536-1276
VL - 17
SP - 6404
EP - 6418
JO - IEEE Transactions on Wireless Communications
JF - IEEE Transactions on Wireless Communications
IS - 10
M1 - 8424241
ER -