Achieving energy efficiency fairness in multicell MISO downlink. Nguyen, K., G., Tran, L., N., Tervo, O., Vu, Q., D., & Juntti, M. *IEEE Communications Letters*, 19(8):1426-1429, IEEE, 8, 2015.

Paper Website abstract bibtex

Paper Website abstract bibtex

We investigate the fairness of achievable energy efficiency in a multicell multiuser multiple-input single-output (MISO) downlink system, where a beamforming scheme is designed to maximize the minimum energy efficiency among all base stations. The resulting optimization problem is a nonconvex max-min fractional program, which is generally difficult to solve optimally. We propose an iterative beamformer design based on an inner approximation algorithm which aims at locating a Karush-Kuhn-Tucker solution to the nonconvex program. By novel transformations, we arrive at a convex problem at each iteration of the proposed algorithm, which is amendable for being approximated by a second order cone program. The numerical results demonstrate that the proposed algorithm outperforms the existing schemes in terms of the convergence rate and processing time.

@article{ title = {Achieving energy efficiency fairness in multicell MISO downlink}, type = {article}, year = {2015}, identifiers = {[object Object]}, keywords = {Energy efficiency,inner approximation algorithm,max-min fractional programming}, pages = {1426-1429}, volume = {19}, websites = {http://ieeexplore.ieee.org/lpdocs/epic03/wrapper.htm?arnumber=7111242}, month = {8}, publisher = {IEEE}, id = {bc209bd6-c3fc-3689-b06b-ac78bdb62c43}, created = {2016-08-22T15:28:39.000Z}, accessed = {2016-08-22}, file_attached = {true}, profile_id = {ae3c3618-3f38-3a00-9bd1-a1c94416d536}, last_modified = {2019-08-26T06:58:37.075Z}, read = {false}, starred = {false}, authored = {true}, confirmed = {true}, hidden = {false}, citation_key = {Nguyen2015}, private_publication = {false}, abstract = {We investigate the fairness of achievable energy efficiency in a multicell multiuser multiple-input single-output (MISO) downlink system, where a beamforming scheme is designed to maximize the minimum energy efficiency among all base stations. The resulting optimization problem is a nonconvex max-min fractional program, which is generally difficult to solve optimally. We propose an iterative beamformer design based on an inner approximation algorithm which aims at locating a Karush-Kuhn-Tucker solution to the nonconvex program. By novel transformations, we arrive at a convex problem at each iteration of the proposed algorithm, which is amendable for being approximated by a second order cone program. The numerical results demonstrate that the proposed algorithm outperforms the existing schemes in terms of the convergence rate and processing time.}, bibtype = {article}, author = {Nguyen, Kien Giang and Tran, Le Nam and Tervo, Oskari and Vu, Quang Doanh and Juntti, Markku}, journal = {IEEE Communications Letters}, number = {8} }

Downloads: 0

{"_id":"JNF2HuiFjtM8vDkZz","bibbaseid":"nguyen-tran-tervo-vu-juntti-achievingenergyefficiencyfairnessinmulticellmisodownlink-2015","authorIDs":[],"author_short":["Nguyen, K., G.","Tran, L., N.","Tervo, O.","Vu, Q., D.","Juntti, M."],"bibdata":{"title":"Achieving energy efficiency fairness in multicell MISO downlink","type":"article","year":"2015","identifiers":"[object Object]","keywords":"Energy efficiency,inner approximation algorithm,max-min fractional programming","pages":"1426-1429","volume":"19","websites":"http://ieeexplore.ieee.org/lpdocs/epic03/wrapper.htm?arnumber=7111242","month":"8","publisher":"IEEE","id":"bc209bd6-c3fc-3689-b06b-ac78bdb62c43","created":"2016-08-22T15:28:39.000Z","accessed":"2016-08-22","file_attached":"true","profile_id":"ae3c3618-3f38-3a00-9bd1-a1c94416d536","last_modified":"2019-08-26T06:58:37.075Z","read":false,"starred":false,"authored":"true","confirmed":"true","hidden":false,"citation_key":"Nguyen2015","private_publication":false,"abstract":"We investigate the fairness of achievable energy efficiency in a multicell multiuser multiple-input single-output (MISO) downlink system, where a beamforming scheme is designed to maximize the minimum energy efficiency among all base stations. The resulting optimization problem is a nonconvex max-min fractional program, which is generally difficult to solve optimally. We propose an iterative beamformer design based on an inner approximation algorithm which aims at locating a Karush-Kuhn-Tucker solution to the nonconvex program. By novel transformations, we arrive at a convex problem at each iteration of the proposed algorithm, which is amendable for being approximated by a second order cone program. The numerical results demonstrate that the proposed algorithm outperforms the existing schemes in terms of the convergence rate and processing time.","bibtype":"article","author":"Nguyen, Kien Giang and Tran, Le Nam and Tervo, Oskari and Vu, Quang Doanh and Juntti, Markku","journal":"IEEE Communications Letters","number":"8","bibtex":"@article{\n title = {Achieving energy efficiency fairness in multicell MISO downlink},\n type = {article},\n year = {2015},\n identifiers = {[object Object]},\n keywords = {Energy efficiency,inner approximation algorithm,max-min fractional programming},\n pages = {1426-1429},\n volume = {19},\n websites = {http://ieeexplore.ieee.org/lpdocs/epic03/wrapper.htm?arnumber=7111242},\n month = {8},\n publisher = {IEEE},\n id = {bc209bd6-c3fc-3689-b06b-ac78bdb62c43},\n created = {2016-08-22T15:28:39.000Z},\n accessed = {2016-08-22},\n file_attached = {true},\n profile_id = {ae3c3618-3f38-3a00-9bd1-a1c94416d536},\n last_modified = {2019-08-26T06:58:37.075Z},\n read = {false},\n starred = {false},\n authored = {true},\n confirmed = {true},\n hidden = {false},\n citation_key = {Nguyen2015},\n private_publication = {false},\n abstract = {We investigate the fairness of achievable energy efficiency in a multicell multiuser multiple-input single-output (MISO) downlink system, where a beamforming scheme is designed to maximize the minimum energy efficiency among all base stations. The resulting optimization problem is a nonconvex max-min fractional program, which is generally difficult to solve optimally. We propose an iterative beamformer design based on an inner approximation algorithm which aims at locating a Karush-Kuhn-Tucker solution to the nonconvex program. By novel transformations, we arrive at a convex problem at each iteration of the proposed algorithm, which is amendable for being approximated by a second order cone program. The numerical results demonstrate that the proposed algorithm outperforms the existing schemes in terms of the convergence rate and processing time.},\n bibtype = {article},\n author = {Nguyen, Kien Giang and Tran, Le Nam and Tervo, Oskari and Vu, Quang Doanh and Juntti, Markku},\n journal = {IEEE Communications Letters},\n number = {8}\n}","author_short":["Nguyen, K., G.","Tran, L., N.","Tervo, O.","Vu, Q., D.","Juntti, M."],"urls":{"Paper":"https://bibbase.org/service/mendeley/ae3c3618-3f38-3a00-9bd1-a1c94416d536/file/6af62b5f-029e-8073-0332-d9e65264931f/Giang_COML_2015.pdf.pdf","Website":"http://ieeexplore.ieee.org/lpdocs/epic03/wrapper.htm?arnumber=7111242"},"bibbaseid":"nguyen-tran-tervo-vu-juntti-achievingenergyefficiencyfairnessinmulticellmisodownlink-2015","role":"author","keyword":["Energy efficiency","inner approximation algorithm","max-min fractional programming"],"downloads":0},"bibtype":"article","creationDate":"2019-09-22T12:10:03.388Z","downloads":0,"keywords":["energy efficiency","inner approximation algorithm","max-min fractional programming"],"search_terms":["achieving","energy","efficiency","fairness","multicell","miso","downlink","nguyen","tran","tervo","vu","juntti"],"title":"Achieving energy efficiency fairness in multicell MISO downlink","year":2015}