# US 10,375,736 B2 · Methods and apparatuses for random access > Agents: this data is available as JSON from the patentgrep API and MCP server — see https://patentgrep.com/llms.txt - Number: US 10,375,736 B2 - Document ID: US10375736B2 - Status: Granted - Kind: B2 - Application number: 15/543,945 - Filed: 2017-06-12 - Published: 2018-11-15 - Granted: 2019-08-06 - Earliest claimed: 2017-05-12 - Assignees: Telefonaktiebolaget LM Ericsson (publ) - Applicants: Telefonaktiebolaget Lm Ericsson (Publ) - Inventors: Zhipeng Lin; Gustav Almquist - Web page: https://patentgrep.com/patent/US10375736B2 ## CPC - H04L 25/0224: {using sounding signals} - H04L 25/0226: {sounding signals per se} - H04W 56/0045: {compensating for timing error by altering transmission time} - H04W 74/0833: Random access procedures, e.g. with 4-step access - H04W 74/004: {in the uplink, i.e. towards network} - H04L: TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION (arrangements common to telegraphic and telephonic communication H04M) - H04W: WIRELESS COMMUNICATION NETWORKS (broadcast communication H04H; communication systems using wireless links for non-selective communication, e.g. wireless extensions H04M1/72) ## Abstract Methods and apparatuses for random access transmission. A method implemented in a terminal device in a wireless communication system. According to the method, a random access request including a training sequence is generated. The training sequence is configured at least partially based on a requirement of a coverage gain for a predetermined coverage class five (CC5) of the terminal device. The random access request is transmitted to a network device on a random access channel. ## Claims ### Claim 1 A method implemented in a terminal device in a wireless communication system, comprising: generating a random access request including a training sequence, wherein the training sequence is configured at least partially based on a requirement of a coverage gain for a predetermined coverage class five (CC5) of the terminal device, and wherein the training sequence is configured as 1 1 1 0 1 1 1 0 1 1 0 0 0 1 1 1 0 0 0 0 0 1 0 0 1 1 1 1 0 1 0 0 1 0 0 1 1 1 0 0 1 0 0 0 1 1 0 1 1 0 1 0 0 1 1 1 0 0 0 1 1 1 1 0 1 0 1 0 1 0 1 1 0 1 1 0 0 1 0 1 1 1 0 0 0 1 1 1 0 1 1 1 1 1 1 1 1 0 1 0 1 1 0 1 0 1 1 1 0 1 0 0 0 0 0 1 1 0 1 1 0 1 1 1 1 1 0 1 1 1 1 0 0 1 1 1 0 0 1 0; and transmitting, to a network device, the random access request on a random access channel. ### Claim 2 (depends on 1) The method of claim 1, wherein the transmitting comprises transmitting the random access request as an access burst. ### Claim 3 (depends on 1) The method of claim 1, wherein the transmitting comprises transmitting the random access request as an Extended Synchronization Access Burst. ### Claim 4 (depends on 1) The method of claim 1, wherein the training sequence is configured further based on one or more of the following: an auto-correlation of the training sequence, a cross-correlation between the training sequence and one or more further training sequences for one or more further coverage classes, and an interference between the random access channel and one or more further random access channels. ### Claim 5 (depends on 1) The method of claim 1, wherein the random access channel includes an extended coverage random access channel (EC-RACH). ### Claim 6 (depends on 1) The method of claim 1, wherein the wireless communication system is an Extended Coverage Global System for Mobile Internet of Things (EC-GSM-IoT) system. ### Claim 7 (depends on 1) The method of claim 1, wherein generating the random access request including the training sequence comprises: in response to receiving an indication that the network device supports the training sequence, generating the random access request including the training sequence. ### Claim 8 A method implemented in a network device in a wireless communication system, comprising: receiving a random access request from a terminal device on a random access channel; and detecting a training sequence in the random access request, wherein the training sequence is configured at least partially based on a requirement of a coverage gain for a predetermined coverage class five (CC5) of the terminal device, and wherein the training sequence is configured as 1 1 1 0 1 1 1 0 1 1 0 0 0 1 1 1 0 0 0 0 0 1 0 0 1 1 1 1 0 1 0 0 1 0 0 1 1 1 0 0 1 0 0 0 1 1 0 1 1 0 1 0 0 1 1 1 0 0 0 1 1 1 1 0 1 0 1 0 1 0 1 1 0 1 1 0 0 1 0 1 1 1 0 0 0 1 1 1 0 1 1 1 1 1 1 1 1 0 1 0 1 1 0 1 0 1 1 1 0 1 0 0 0 0 0 1 1 0 1 1 0 1 1 1 1 1 0 1 1 1 1 0 0 1 1 1 0 0 1 0. ### Claim 9 (depends on 8) The method of claim 8, further comprising: performing channel estimation based on the detected training sequence. ### Claim 10 (depends on 8) The method of claim 8, further comprising: determining timing advance for an uplink from the terminal device to the network device based on the detected training sequence. ### Claim 11 (depends on 8) The method of claim 8, wherein the receiving comprises receiving the random access request as an access burst. ### Claim 12 (depends on 8) The method of claim 8, wherein the receiving comprises receiving the random access request as an Extended Synchronization Access Burst. ### Claim 13 (depends on 8) The method of claim 8, wherein the training sequence is configured further based on one or more of the following: an auto-correlation of the training sequence, a cross-correlation between the training sequence and one or more further training sequences for one or more further coverage classes, and an interference between the random access channel and one or more further random access channels. ### Claim 14 (depends on 8) The method of claim 8, wherein the random access channel includes an extended coverage random access channel (EC-RACH). ### Claim 15 (depends on 8) The method of claim 8, wherein the wireless communication system is an Extended Coverage Global System for Mobile Internet of Things (EC-GSM-IoT) system. ### Claim 16 (depends on 8) The method of claim 8, further comprising: transmitting, to the terminal device, an indication that the network device supports the training sequence. ### Claim 17 An apparatus at a terminal device in a wireless communication system, comprising: a processor; and a memory coupled to the processor and storing instructions thereon, the instructions, when executed by the processor, cause the apparatus to: generate a random access request including a training sequence, wherein the training sequence is configured at least partially based on a requirement of a coverage gain for a predetermined coverage class five (CC5) of the terminal device, and wherein the training sequence is configured as 1 1 1 0 1 1 1 0 1 1 0 0 0 1 1 1 0 0 0 0 0 1 0 0 1 1 1 1 0 1 0 0 1 0 0 1 1 1 0 0 1 0 0 0 1 1 0 1 1 0 1 0 0 1 1 1 0 0 0 1 1 1 1 0 1 0 1 0 1 0 1 1 0 1 1 0 0 1 0 1 1 1 0 0 0 1 1 1 0 1 1 1 1 1 1 1 1 0 1 0 1 1 0 1 0 1 1 1 0 1 0 0 0 0 0 1 1 0 1 1 0 1 1 1 1 1 0 1 1 1 1 0 0 1 1 1 0 0 1 0; and transmit, to a network device, the random access request on a random access channel. ### Claim 18 An apparatus at a network device in a wireless communication system, comprising: a processor; and a memory coupled to the processor and storing instructions thereon, the instructions, when executed by the processor, cause the apparatus to: receive a random access request from a terminal device on a random access channel; and detect a training sequence in the random access request, wherein the training sequence is configured at least partially based on a requirement of a coverage gain for a predetermined coverage class five (CC5) of the terminal device, and wherein the training sequence is configured as 1 1 1 0 1 1 1 0 1 1 0 0 0 1 1 1 0 0 0 0 0 1 0 0 1 1 1 1 0 1 0 0 1 0 0 1 1 1 0 0 1 0 0 0 1 1 0 1 1 0 1 0 0 1 1 1 0 0 0 1 1 1 1 0 1 0 1 0 1 0 1 1 0 1 1 0 0 1 0 1 1 1 0 0 0 1 1 1 0 1 1 1 1 1 1 1 1 0 1 0 1 1 0 1 0 1 1 1 0 1 0 0 0 0 0 1 1 0 1 1 0 1 1 1 1 1 0 1 1 1 1 0 0 1 1 1 0 0 1 0.