File Download
There are no files associated with this item.
Links for fulltext
(May Require Subscription)
- Publisher Website: 10.1109/ICCChina.2017.8330372
- Scopus: eid_2-s2.0-85049643867
Supplementary
-
Citations:
- Scopus: 0
- Appears in Collections:
Conference Paper: Maximizing SINR for non-orthogonal multiple access with bounded channel uncertainties
Title | Maximizing SINR for non-orthogonal multiple access with bounded channel uncertainties |
---|---|
Authors | |
Keywords | bisection algorithm imperfect channel state information (ICSI) non-orthogonal multiple access (NOMA) S-Procedure semidefinite programming (SDP) |
Issue Date | 2017 |
Citation | 2017 IEEE/CIC International Conference on Communications in China, ICCC 2017, 2017, v. 2018-January, p. 1-6 How to Cite? |
Abstract | This letter examines the robust beamforming design multiple-input single-output (MISO) non-orthogonal multiple access (NOMA) downlink systems with imperfect channel state information (ICSI). Sparked by the worst-case performance optimization framework, we consider to maximize the minimum of received signal-to-interference-plus-noise ratios (SINRs) of users, which is not convex with regards of beamforming vectors. The formulated optimization problem is not convex so, to solve the challengeable problem, we first formulate a equivalent optimization problem based on semidefinite programming (SDP). By applying a rank one relaxation and a linear matrix inequality (LMI) the S-Procedure can be used, which leads to exploiting bisection algorithm in order to obtaining the robust optimal beamforming solution. Finally, simulation results demonstrate the proposed design. |
Persistent Identifier | http://hdl.handle.net/10722/349263 |
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Al-Basit, Suhaib M. | - |
dc.contributor.author | Cui, Jingjing | - |
dc.contributor.author | Liu, Yuanwei | - |
dc.contributor.author | Ding, Zhiguo | - |
dc.contributor.author | Fan, Pingzhi | - |
dc.date.accessioned | 2024-10-17T06:57:23Z | - |
dc.date.available | 2024-10-17T06:57:23Z | - |
dc.date.issued | 2017 | - |
dc.identifier.citation | 2017 IEEE/CIC International Conference on Communications in China, ICCC 2017, 2017, v. 2018-January, p. 1-6 | - |
dc.identifier.uri | http://hdl.handle.net/10722/349263 | - |
dc.description.abstract | This letter examines the robust beamforming design multiple-input single-output (MISO) non-orthogonal multiple access (NOMA) downlink systems with imperfect channel state information (ICSI). Sparked by the worst-case performance optimization framework, we consider to maximize the minimum of received signal-to-interference-plus-noise ratios (SINRs) of users, which is not convex with regards of beamforming vectors. The formulated optimization problem is not convex so, to solve the challengeable problem, we first formulate a equivalent optimization problem based on semidefinite programming (SDP). By applying a rank one relaxation and a linear matrix inequality (LMI) the S-Procedure can be used, which leads to exploiting bisection algorithm in order to obtaining the robust optimal beamforming solution. Finally, simulation results demonstrate the proposed design. | - |
dc.language | eng | - |
dc.relation.ispartof | 2017 IEEE/CIC International Conference on Communications in China, ICCC 2017 | - |
dc.subject | bisection algorithm | - |
dc.subject | imperfect channel state information (ICSI) | - |
dc.subject | non-orthogonal multiple access (NOMA) | - |
dc.subject | S-Procedure | - |
dc.subject | semidefinite programming (SDP) | - |
dc.title | Maximizing SINR for non-orthogonal multiple access with bounded channel uncertainties | - |
dc.type | Conference_Paper | - |
dc.description.nature | link_to_subscribed_fulltext | - |
dc.identifier.doi | 10.1109/ICCChina.2017.8330372 | - |
dc.identifier.scopus | eid_2-s2.0-85049643867 | - |
dc.identifier.volume | 2018-January | - |
dc.identifier.spage | 1 | - |
dc.identifier.epage | 6 | - |