User Association for Load Balance in Heterogeneous Networks With Limited CSI Feedback
Conventional user association (UA) scheme based on max-signal-to-interference-plus-noise-ratio (max-SINR) criterion results in a severe load imbalance problem in heterogeneous networks (HetNets), leading to substantial performance loss. The state-of-the-art solutions to load imbalance mostly formula...
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| Veröffentlicht in: | IEEE communications letters 2020-05, Vol.24 (5), p.1095-1099 |
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| creator | Han, Peibo Zhou, Zhengyi Wang, Zhaocheng |
| description | Conventional user association (UA) scheme based on max-signal-to-interference-plus-noise-ratio (max-SINR) criterion results in a severe load imbalance problem in heterogeneous networks (HetNets), leading to substantial performance loss. The state-of-the-art solutions to load imbalance mostly formulate the UA problem as a complicated global optimization that requires full channel state information (CSI) between every base station-user pair. Therefore, searching for optimal UA scheme imposes extremely high complexity as well as signaling overhead, and thus limits its practical applications. In this letter, the UA problem is reformulated as a local optimization at the macro base station, and is solved with only limited CSI feedback, where each user reports the synchronization signal powers instead of full CSI. After that, a low-complexity successive offloading (SO) scheme is derived. Numerical simulations demonstrate that the SO scheme achieves near optimal performance with much lower complexity. |
| doi_str_mv | 10.1109/LCOMM.2020.2973090 |
| format | Article |
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The state-of-the-art solutions to load imbalance mostly formulate the UA problem as a complicated global optimization that requires full channel state information (CSI) between every base station-user pair. Therefore, searching for optimal UA scheme imposes extremely high complexity as well as signaling overhead, and thus limits its practical applications. In this letter, the UA problem is reformulated as a local optimization at the macro base station, and is solved with only limited CSI feedback, where each user reports the synchronization signal powers instead of full CSI. After that, a low-complexity successive offloading (SO) scheme is derived. Numerical simulations demonstrate that the SO scheme achieves near optimal performance with much lower complexity.</description><identifier>ISSN: 1089-7798</identifier><identifier>EISSN: 1558-2558</identifier><identifier>DOI: 10.1109/LCOMM.2020.2973090</identifier><identifier>CODEN: ICLEF6</identifier><language>eng</language><publisher>New York: IEEE</publisher><subject>Base stations ; Complexity ; Complexity theory ; Computer simulation ; Downlink ; Feedback ; Global optimization ; Heterogeneous networks ; Indexes ; limited CSI feedback ; Load balancing ; Local optimization ; Numerical simulation ; Optimization ; successive offloading ; Synchronism ; user association</subject><ispartof>IEEE communications letters, 2020-05, Vol.24 (5), p.1095-1099</ispartof><rights>Copyright The Institute of Electrical and Electronics Engineers, Inc. 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The state-of-the-art solutions to load imbalance mostly formulate the UA problem as a complicated global optimization that requires full channel state information (CSI) between every base station-user pair. Therefore, searching for optimal UA scheme imposes extremely high complexity as well as signaling overhead, and thus limits its practical applications. In this letter, the UA problem is reformulated as a local optimization at the macro base station, and is solved with only limited CSI feedback, where each user reports the synchronization signal powers instead of full CSI. After that, a low-complexity successive offloading (SO) scheme is derived. Numerical simulations demonstrate that the SO scheme achieves near optimal performance with much lower complexity.</description><subject>Base stations</subject><subject>Complexity</subject><subject>Complexity theory</subject><subject>Computer simulation</subject><subject>Downlink</subject><subject>Feedback</subject><subject>Global optimization</subject><subject>Heterogeneous networks</subject><subject>Indexes</subject><subject>limited CSI feedback</subject><subject>Load balancing</subject><subject>Local optimization</subject><subject>Numerical simulation</subject><subject>Optimization</subject><subject>successive offloading</subject><subject>Synchronism</subject><subject>user association</subject><issn>1089-7798</issn><issn>1558-2558</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2020</creationdate><recordtype>article</recordtype><sourceid>RIE</sourceid><recordid>eNo9kMtOwzAQRS0EEqXwA7CxxDrFjySOlyWitFJKF1CxtBx7DOkjLnYqxN-T0orN3FncMyMdhG4pGVFK5ENVLubzESOMjJgUnEhyhgY0y4qE9eO830khEyFkcYmuYlwRQgqW0QFaLiMEPI7Rm0Z3jW-x8wFXXlv8qDe6NYCbFk-hg-A_oAW_j_gFum8f1hG_N90nrppt04HF5esMTwBsrc36Gl04vYlwc8ohWk6e3sppUi2eZ-W4SgyTWZcAzQW42jKa1tpyK0TKBYFM5NLVTtpcWsad4do5acBxwYjRvMh5Wtg-HB-i--PdXfBfe4idWvl9aPuXiqWE0pRKRvsWO7ZM8DEGcGoXmq0OP4oSddCn_vSpgz510tdDd0eoAYB_oJAyJRnhvwTRa5c</recordid><startdate>20200501</startdate><enddate>20200501</enddate><creator>Han, Peibo</creator><creator>Zhou, Zhengyi</creator><creator>Wang, Zhaocheng</creator><general>IEEE</general><general>The Institute of Electrical and Electronics Engineers, Inc. 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| issn | 1089-7798 1558-2558 |
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| source | IEEE Electronic Library (IEL) |
| subjects | Base stations Complexity Complexity theory Computer simulation Downlink Feedback Global optimization Heterogeneous networks Indexes limited CSI feedback Load balancing Local optimization Numerical simulation Optimization successive offloading Synchronism user association |
| title | User Association for Load Balance in Heterogeneous Networks With Limited CSI Feedback |
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