Abstract
The new networking paradigm of opportunistic spectrum sharing is a promising technology for mitigating the scarcity of spectrum, which has resulted from the exponential increase in the number of wireless devices and ubiquitous services. In light of the new concept of Authorized/Licensed Shared Access (ASA/LSA), in this work, we consider the coexistence and spectrum sharing between a collocated multiple-input-multiple-output (MIMO) radar and a full-duplex (FD) multi-user MIMO cellular system consisting of a FD base station (BS) serving multiple downlink and uplink users simultaneously, and accordingly focus on maximizing the detection probability of the radar. The main objective of this paper is to develop an optimization technique for jointly optimizing the beamforming weights at the BS and transmit power for uplink users that can maximize the detection probability of radar while guaranteeing the quality-of-service requirements of each user and power budget for the uplink users and the BS. The joint beamforming design is a non-convex problem which, we convert into a second-order cone programming (SOCP) problem and propose an iterative algorithm for finding the optimal solution. Numerical results demonstrate the feasibility of the spectral coexistence and show a scalable trade-off in performance of both systems.
Original language | English |
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Title of host publication | 2017 NASA/ESA Conference on Adaptive Hardware and Systems, AHS 2017 |
Publisher | IEEE |
Pages | 93-100 |
Number of pages | 8 |
ISBN (Electronic) | 9781538634394 |
DOIs | |
Publication status | Published - 21 Sept 2017 |
Event | 2017 NASA/ESA Conference on Adaptive Hardware and Systems - Pasadena, United States Duration: 24 Jul 2017 → 27 Jul 2017 |
Conference
Conference | 2017 NASA/ESA Conference on Adaptive Hardware and Systems |
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Abbreviated title | AHS 2017 |
Country/Territory | United States |
City | Pasadena |
Period | 24/07/17 → 27/07/17 |
Keywords
- beamforming
- Full-duplex
- MIMO radar
- multi-user MIMO
- opportunistic spectrum access
- optimization
ASJC Scopus subject areas
- Computer Networks and Communications
- Hardware and Architecture
- Aerospace Engineering
- Electrical and Electronic Engineering
- Instrumentation